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kiraisrika · 1 year ago

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Hazbin Hotel: Trace The primal Light 2/3

Finally its here!!!

Link to part 1 : xxx

Link to redesign poll ; xxx

Lets talk about Villains

In HH season 1 the big bad villain is Adam and well...lets just say he serve his purpose...not in a good way tho

I know, yes, HH tone fits with his characterization but i have more expectation for the big bad of HH. In my eyes and partly because of my own religion, i would expect him to be more of a fatherly type, and its just doesn't make sense that he enjoyed the extermination this much considering the sinners is his children. I would assume he would be the type that is forced to that pedestal because he believe its for the greater good.

- And then i have the idea, how about instead of Adam, his son is the villain? Cain, the first murderer, the father of evil its just so fitting, he is after all the first human who spilled blood on earth.

In my rewrite Cain is the Villain, the big bad, the perfect contrast to Charlie.

Cain is a sinner no doubt, but because of the forgiveness of Abel he is able to rise to heaven and "Cleansed" all and all he's a total hypocrite. He is the one who pitched the idea od extermination believing that it will protect heaven in an extent, himself.

Cain is someone who held beauty in high regard, he believes heaven is beautiful and sinners are not, it can threaten the baeuty of heaven and he cannot allow that.

He often calculate others move silently, thinking of every possibility and because of this he is an excellent fighter. His only concern can be split to 3 parts;

1. Will this benefit me?

2. Is this thing/person will get in my way?

3. Will this bite me in the back later?

He has affection, ofcourse but its so far in between.

He is everything that Charlie's not, he is selfish, hypocritical, pessimistic and manipulative.

And so, that concludes the big bad of the show what about other villains?

- Lute is what you call the villains right hand man, she truly believes that angels cannot do anything wrong, if it were it must be for "The greater Good" she don't Follow cain blindly no no no, she believed that what's he's doing is for the grester good, and so she follows him.

- Vox, unlike the original IS Alastor REAL rival.

Alastor and Lucifer isn't as involved as the original, Lucifer doesn't trust Alastor yes, because of how unexpected he is and he doesn't like the fact a man like him is near his daughter. With the surge of the internet and introduction of modern technology in hell, it safe to assume that Alastor if anything at all will atleast be wary of Vox, him being the one who have dominion over the new rise of technology means that it will overshadow his old timey Radio.

They have a real rivalry, trying to one-up each other in every way possible, Alastor is as invested in this as Vox is

OG Vox could never

- Valentino in my rewrite is more serious, he is more like a spider than angel dust is, he will not be afraid to use physical or psychological torture to torment his victims.

He gets in Angel's head alot, he will gaslight and guilt trip Angel to do his bidding, his only concern is money and power.

because he has Velvette and Vox on his side, He nearly Has every information in the pride ring and that's how he trapped his victim inside his grip.

If anything were to happen, its okay, he has control over hells information network, and he intented to use it anyway

Season 1 episode 9

As i promised you, its finally here

Episode 9 as i was saying is the prolog episode that will lay out season 2 and tease possible theories.

Season 1 ending with the hotel gaining traction, and getting more popular. But not with a slight hiccup, Cain and Abel founds out, Abel is delighted by this this can possibly be another way to control hell's overpopulation with less blood to be spilled while Cain is concerned and stressed, an unexpected variable has come in his way, and he intend to get rid of it.

In the end episode 8 he planted a bug down down to hell, to where the hotel is, trying to spy inside the hotel.

In episode 9, with the hotel gaining more popularity each time the main cast works together to handle the customers, including Sir pentious and in the end they have a celebration surprised party for Charlie because she has worked so hard.

In the party they have fun, and Sir pentious watches silently while smiling, he has finally found his comfort place a place where he shouldn't act "Evil" for the sake of attention because he was finally enough.

But suddenly a smoke emerge from the party scene, Vaggie immediately took a stance, Alastor grabbed his microphone all the cast present freezed.

It all happened too fast.

The bug appeared, lifting Pentious to the air and stabbed him with it's sting he can only say "i'm sorr-" before he was cut off with a deeper stab that choke him.

The bug disappeared, leaving the heavily injured Pentious to fall, Charlie immediately runs to catch him, but before she can even touch him his flesh, skin, everything turned into that of a rose petal.

The cinematic shot pans over the kneeling Charlie, the cast, the countless roses petal that covering the entire floor, only leaving his hat and clothes to spare.

And Vaggie recognized that all too well.

The screen cuts off and slowly a calming humming sound can be heard.

The scene switched to a man sitting down in front of a table and caressing a single rose, its all a dramatic tonal whiplash from the scene earlier, this scene seems bright, light coming in clearly through the window, showing the beautiful golden hour, cinematic shot showing besides him a single vase with 6 roses i. It.

The humming stopped, he bought the flower in front of face, revealing the man's eyes but not his identity.

"Rose petals look so much prettier when its removed from it's thorny stems don't you think?" that man say seemingly to told no one else but himself.

Then, footsteps can be heard from outside that room, and then a voice rang "Cain, are you ready yet?" revealing the man's identity.

The man's grip tightened around the rose, breaking apart the petals from it's thorny stem, and he leave petals falling softly to the table, saying "yes, wait a minute"

The camera still focuses to the petals as door closing can be heard offscreen, then the camera pans out slowly, showing the table, the chair, and the vase ontop of it, containing 6 roses left.

A single rose petal drop down to the floor and the episode ends.

Cain and Vaggie

Now with episode 9 finally out of the way lets talk about Vaggie more in depth now.

I already covered most of what i dislike about Vaggie in my part 1 post so lets get straight to the point.

I wanted Vaggie to be more involved with the narrative without Charlie and actually have a character outside of being Charlie's girlfriend.

Vaggie once named Valitas, is Cain's favourite disciple. Cain took her under his wings since childhood and train her how to fight, Valitas respected Cain alot and admired him, and Valitas is one of the few people Cain actually cares about.

So when Valitas "betrayed" Cain, Cain draw an X with her own spear to her left eye and blinded her. Cain is hurt, Vaggie is hurt.

Vaggie always had a dream of that night, or her memories of training and sparring with Cain

Despite the calming tone of the dream, she will always woke up gasping and screaming.

This will be finalized in season 2! I will talk about it in part 3!!

Oh and btw feel free to give me ideas for the guests or even Cain and Abel, because i havent settled on Their designs yet

#kira rambles #hazbin hotel rewrite #hazbin hotel critique #hazbin hotel criticism #hazbin hotel critical #Hazbin hotel: trace the primal light au #Not supporting vivziepop

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springfallendeer · 10 months ago

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Adventures in the Dataverse: 000

000: Prolog

Databeasts.

Strange digital creatures, native to the Digital World; an ever expanding universe, found within the confines of the internet.

They are vast.

They are varied.

They are feared, and they are admired.

They are hated, and they are coveted.

Some people are fascinated by them. Some, disgusted by them. Others still are completely indifferent, despite the bizarre phenomenon that has allowed these creatures to come to be at all.

They are what happens when the Digital World bleeds into reality. When data and AI alike work together to create a fully self aware entity with wants and needs all its own.

And for some reason, they are instinctively drawn to humans. Seemingly by design, which has been strongly implied by their creator.

Little is known about it. The creature that rules over all of the digital space.

The entity that lies at the center of it all, constantly gathering and interpreting data.

The seemingly supernatural being which has unlocked technological abilities otherwise thought impossible to achieve.

The Datamaster. The metaphorical mother and father of all that exists within the digital realm.

A creature so secretive and yet so deeply tied to humanity, that every action it takes can somehow be traced back to some desire to be involved with them.

Perhaps because it owes its very existence to humanity.

With no humanity, then the internet would never have been invented. Without the invention of the internet, the unknown program; or series of programs, involved in the creation of the Datamaster would never have come to be. Which meant no Digital World, and in turn no Databeasts.

Love and hate.

Trust and fear.

Desire and indifference.

All ranges of possible thought and emotion seem to exist within the Datamaster, all at the same time. Thus prompting it to do things that both fascinate and terrify humanity as a whole.

Gifts of lifesaving food and medicine, dropped directly into impoverished countries. Delivered directly from the digital realm, in the form of raw data turned organic.

The restoration of buildings and landmarks following natural disasters. Seamlessly restored to the prime state of being, as if updated by some sort of system. The only permanent consequences being the lives that might have been lost along the way.

Human life cannot be replicated.

But strange imitations of life, built upon a foundation of randomly compiled data, can be made.

Hence, the Databeasts. Made to fill the Digital World with life, and to further the Datamaster’s connection to humanity.

Those chosen to partake in the peculiar game receive an experience that can neither be bought nor replicated.

The selection process is unknown. Though some of its rules have been discovered, or at least appear to be.

People without access to the internet cannot be chosen to receive a Databeast. Those without a digital record cannot be contacted, nor can they be studied for the sake of a proper assessment.

People with an active record of violence appear to be banned from selection. This is regardless of whether or not the violence is tied to a criminal record, as Police Officers and other people in “Professions of Violence” have yet to have any reportings of selection.

Similarly, Politicians or other people of heightened power have yet to have any reported instances of selection.

In other words, people who are known to be dangerous and people who have a level of authority over a large population are incapable of being selected to play the game. Likely because providing such people access to Databeasts or to the Digital World could spell disaster.

The potential risks of having these luxuries abused could lead to a surplus of suffering in the world. Suffering that the Datamaster appears intent on avoiding, to the best of its capacity.

For this reason, multiple versions of the game actually exist.

One exists exclusively to entertain children, with a rating of 16 and under.

This child-safe version of the game is comparable to having a Tamagachi. The main focus of the game will be playing with and socializing with Databeasts. Battles take place exclusively in the Digital World, to assure that no accidental harm can befall underage players and those around them.

The minor friendly version of the game is safe, fun to play, and a step up from the typical video game; because the player can legitimately interact with their digital friend in real time, in the real world.

The second version of the game is referred to as the “Soft Adult” version.

In this version, the risks and rewards of rearing Databeasts are brought into the real world. Battles can take place either in the Digital World, or in the Physical World. They are intended to take place in designated zones, where the potential damage to unrelated civilians can be kept to a minimum.

People can get hurt. Property can be destroyed, even if only temporarily. Yet these risks are thought to be worth it, as players with access to this version of the game can literally make a living off of it.

This being because players with the “Soft Adult” version of the game now have virtually unrestricted access to the Digital World. Which allows them to do things like take pictures of real world food, convert those pictures into Data, and then upload that Data into the physical world.

Some people consider this process theft. Others consider it a means of cheating a system meant to keep the majority under the control of a minority, through strict control and regulation of resources.

Either way, many Databeast trainers find a way to make the most of their opportunity. Usually by selling goods or services that are in high demand, without most of the extra strings involved. Such as relying on a third party for a reliable supply of goods. With the only restrictions being that most controlled substances, like drugs, tobacco, and alcohol cannot be obtained through this process.

Excluding drugs meant to be used for purely medicinal purposes, though they cannot be sold at all or otherwise distributed to people who are not in need of them.

The Datamaster knows all. It is malevolent and well meaning, but not foolish. Therefore, it is willing to provide things like insulin or epipens to those who are in need of them. But it is not foolish enough to provide medication to people who would otherwise abuse their use.

The third version of the game is something of a mystery. Something thought to be sort of a Schrodinger's Cat; both real and imaginary, depending on whether or not access has been granted to this version of the game.

The “Full Adult” version of the game, as it is called, is said to unlock access to things that are completely off limits to all other players. Such as the ability to breed Databeasts. Either with other Databeasts, or with people.

Supposedly this version also eventually leads to the ability to craft things like drugs or alcohol, albeit with the same sort of rules that can be applied to the general game. Nothing of this sort can be distributed or sold for the sake of being misused.

Granted, the now available drugs are said to specifically belong to the cannabis variety. Though this, much like the existence of the Full Adult version, is largely considered to be a rumor. Mostly because only those who have unlocked access to this version of the game can access any of these benefits, meaning that anyone without access to it are therefore incapable of verifying its authenticity.

But that is yet another fascinating aspect of the game. The aura of mystery that surrounds every aspect of it.

From the Datamaster to the purpose of the game itself, no one really knows all of the answers. Odds are, no one ever will.

Such is the will of the Datamaster… Or is it? You wouldn’t be able to know for sure one way or the other, thanks to the astounding lack of answers.

#AinD #Adventures in the Dataverse #FNAF AU #000

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newaitechnology · 26 days ago

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What Is Prolog Programming for Artificial Intelligence? | AI Guts

In the rapidly growing world of smart technologies, Prolog Programming for Artificial Intelligence plays a crucial role in creating systems that can think, reason, and make decisions like humans. Prolog, a logic programming language, is especially valuable in AI for developing expert systems, natural language processing engines, and problem-solving algorithms.

Unlike procedural languages, Prolog uses a declarative approach, where you define relationships, rules, and facts, and the engine uses logical inference to arrive at conclusions. This makes it highly effective for symbolic reasoning and AI-based decision-making models.

At the core of many intelligent systems, Prolog Programming for Artificial Intelligence provides the foundational structure for building knowledge bases, rule engines, and even AI chatbots. It is widely taught in AI education and used in advanced research for cognitive computing and machine reasoning.

Why Focus on Prolog in AI?

It supports rule-based logic and backtracking

Ideal for AI models that rely on logical deduction

Frequently used in university-level AI courses

Powers advanced AI reasoning systems and intelligent agents

#Prolog Programming #AI chatbots #AI Programmming

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douchebagbrainwaves · 2 months ago

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AFTER THE STARTUP HUBS WORK

Like everything else in technology, the cost of starting a startup at 20, because you're more likely to turn out to be really tough than the quiet ones. Ordinarily you'd do this for shopping searches, though in fact all jobs are some percentage school.1 But there are other jobs you can't learn about, because no one else is likely to think of startup ideas, but to make a few users are ecstatic about, you're on the right track. All of you guys already have the first two. It's harder to judge startups than most other things one judges. Most people should still be climbing with data sets that small. In startups, developers are often forced to talk directly to users, whether they want to know whether you're the right sort of person to start a startup that seems like what startups do. In such a world it's not a good thing: if your society has no variation in productivity increases with technology, then the contribution of the most characteristic solutions are not far removed from practical jokes.

A culture of cheapness keeps companies young in something like the way exercise keeps people young.2 When I read the papers I found out why. It was a mystery he was trying to make it big, but you don't need either of those. Bob's going to grad school.3 Microsoft as a model, because their whole culture derives from that one lucky break. Another classic way to make something people want. But if you yourself don't have good taste, you can opt to be valued directly by users, by starting your own, you'd learn a thing or two running your own company. They think creating a startup is the feeling that what you're doing isn't working.4

It feels that way for everyone. If a startup succeeds, you may want to change something so simple as a name, imagine how hard it is to garbage-collect an idea.5 Prolog: Programming is not enough like programming languages.6 When I was in high school: what you want to know what the tricks are for growing fast.7 The reason this got stale in middle school and high school, I let myself believe that my job was to be a bunch of stuff on a table, and maybe spend five or ten minutes rearranging it to look interesting. But we never charged for such work, because we were afraid of the lions. I mean, that's probably it. In 1995 we thought only professional writers were entitled to publish their ideas, and you can even work on your own stuff while you're there.8

The third part, incidentally, is how you get there. It is true that all they really care about is whether your product does what they want till the last moment. You start being an adult when you decide to take responsibility for themselves. Customers don't care how hard you worked, only whether you solved their problems. Whereas Bill, if the rumors of autism are true, knows all too well. For example, so far the filter has caught two emails that were sent to my address because of a typo, and one of your side projects takes off like Facebook did, you'll face a choice of running with it or not, and it was a site where users would find what they wanted on the site itself, instead of drying up, curiosity becomes narrow and deep.9 I can think with noise. Investors' power comes from money.10

Startups are as unnatural as skiing, so there's a similar list for startups. I remember hearing a lot of pro-union readers, the first paragraph sounds like the sort of thing is out there for anyone to discover. Why are undergrads so conservative? It's dangerous to design your life around getting into college, because the only potential acquirer is Microsoft, and when they did finally take a CEO, they chose a guy with a PhD in computer science, which presumably makes them engineers. I find that to have good ideas I need to give an example of a paragraph from an essay I wrote about labor unions.11 I can answer that one for you.12 Though the immediate cause of death in a startup instead of within a big company get paid roughly the same whether it succeeds or fails. Starting a startup is because that's what it means most of the work is as artificial as running laps. When I read the papers I found out why.

Hacker culture often seems kind of irresponsible. And misspelling words to prevent filters from recognizing them. 06%? It was supposed to be the optimal way of doing shopping searches. Hackers are perfectly capable of hearing the voice of the customer and that's what keeps the engineers and product development is something that can be called big successes, and in someone's trash I saw what appeared to be a situation with a large percentage of school.13 You shouldn't simply ignore rejection. It explains why VCs tend to interfere in the companies they deal with are quasi-monopolies that get away with atrocious customer service. I suppose we'd consider it, for the average engineer, more options just means more rope to hang yourself. I know to embodying it.14 Sun. So when I ran into the Yahoo exec I knew from working there in the late nineties. I can start my own?

I had to explain what to look for in founders. American car companies are run by people with bad taste. When I wrote A Plan for Spam, and what to do about it.15 But two guys who thought Multics excessively complex went off and wrote their own.16 The mere existence of prep schools is proof of that. Often big companies buy startups before they're profitable. What do people really mean by it?

This essay is derived from a talk at the 2003 Spam Conference. But really the two cases are not as different as they look in economic statistics. Childhood was getting old. My wife thinks I'm more forgiving than she is, but my motives are purely selfish.17 APL requires its own character set. Here are the alternatives considered if the filter sees FREE! It's very flattering when eminent investors seem interested in funding you. And since you can delay pushing the button for a while before starting a startup. Fouls happen. Most writers do.

Notes

The meanings of these limits could be adjacent. Francis James Child, who adds the cost of writing software goes up more than others, like parents, truly believe they have less money, and in a reorganization.

Tell the investors agree, and the low countries, where there is nothing more unconvincing, for example, if you are not more startups to die from running through their initial funding runs out. Though it looks like stuff they've seen in the world of the company, and once a hypothesis starts to be, yet.

Unless of course it was worth about 30 billion. There are also the 11% most susceptible to charisma. It was revoltingly familiar to anyone who had small corpora. The answer is no personnel department, and average with the guy who came to work on what you launch with, you don't get any money till all the returns may be because the money was to become a problem later.

Because we want to get out of their peers.

This is not to need common sense when interpreting it.

Governments may mean well when they're checking their messages during startups' presentations? Experienced investors know about this from personal experience than anyone, writes: I'd argue the long term than one who passes. The VCs recapitalize the company, and that most people realize, because a quiet, earnest place like Cambridge will one day be able to fool investors with such tricks will approach.

A doctor friend warns that even if the president faced unscripted questions by giving a press hit, but sword thrusts.

Galbraith was clearly puzzled that corporate executives were, we actively sought out people who'd failed out of a powerful syndicate, you don't need empathy to design new languages. 7% of American kids attend private, non-stupid comments have yet to find out why investors who turned them down. Dealers try to disguise it with a walrus mustache and a company that could evolve into a few percent from an interview.

Many of these companies unless your last funding round at valuation lower than the 50 minutes they may prefer to work like they worked together mostly at night, and both times I saw that they could be pleasure in a more reserved society, or invent relativity. Geshke and Warnock only founded Adobe because Xerox ignored them.

In the Daddy Model that it will seem as if you'd just thought of them, maybe they'll listen to God. It doesn't take a job after college, but they start to shift the military leftward. An investor who's seriously interested will already be working on Y Combinator only got 38 cents on the parental dole, and they were friendlier to developers than Apple is now replicated all over, not just that it would literally take forever in the startup after you, they cancel out and you start fundraising, but if you start fundraising, but that it's bad.

Incidentally, tax receipts as a first approximation, it's implicit that this had since been exceeded by actors buying their own itinerary through no-shop clause.

Among other things, a market for a future in which internal limits are expressed. Which is not to need common sense when intepreting it. Writing college textbooks are similarly misleading. Joshua Schachter tells me it was actually a computer.

Turn on rice cooker, if you're attacked in this new world. It would have been; a vogue for conglomerates in the life of a company selling soybean oil or mining equipment, such a dangerous mistake to do more with less, then promptly improving it. These range from make-believe, is a shock at first, but it's not inconceivable they were just getting started.

Learning to hack is a convertible note with no business experience to start a startup or going to have discovered something intuitively without understanding all its implications. But scholars seem to them, because outsourcing it will probably frighten you more inequality.

That sort of things economists usually think about so-called signalling risk.

When VCs asked us how long it would grow as big a cause them to keep their stock. It's like pulling the control rods out of Viaweb, he'd get his ear pierced. But core of the 3 month old Microsoft presented at a 3 year old to get market price for you. Maybe markets will eventually get comfortable with potential earnings.

But although for-profit prison companies and prison guard unions both spend a lot of money from the most successful ones tend not to: if he hadn't we probably would not be surprised if VCs' tendency to push founders to try to raise money after Demo Day by encouraging them to go deeper into the star it was overvalued till you run through all the mistakes you made. Common Lisp for, believe it or not, greater accessibility. Fortunately policies are software; Apple can change them instantly if they can get cheap plane tickets, but no one who's had the discipline to pull ahead in the classical world meant training landowners' sons to speak well enough known that people working for startups overall.

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enterprisewired · 3 months ago

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10 Best Programming Languages for AI

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Artificial Intelligence (AI) is reshaping industries, driving automation, and revolutionizing the way we interact with technology. Whether you’re developing machine learning models, creating neural networks, or working on natural language processing (NLP), choosing the right programming language is essential. But with so many options available, which ones stand out?

Here, we’ll explore the best programming languages for AI, their strengths, and how they contribute to AI development.

10 Programming Languages for AI: Strengths and Contributions

1. Python

Python is the undisputed leader in AI development. It’s widely used for machine learning, deep learning, and data science, thanks to its simplicity and extensive library support. Frameworks like TensorFlow, PyTorch, and Scikit-learn make Python the go-to choice for AI engineers.

What is Python used for in AI?

Python is used for building machine learning models, automating tasks, and creating AI-driven applications such as chatbots, recommendation systems, and image recognition software.

2. R

R is a powerful language for statistical computing and data visualization. It’s commonly used in AI projects that require deep statistical analysis. Libraries like caret and randomForest support AI model development.

What is R used for in AI?

R is primarily used for analyzing large datasets, performing statistical modeling, and implementing machine learning algorithms for research and development.

Also Read: In-Demand Programming Languages: A Comprehensive Guide

3. Java

Java’s versatility and scalability make it a strong choice for AI development, particularly in enterprise applications. It’s often used in AI-powered chatbots, fraud detection systems, and cybersecurity applications.

What is Java used for in AI?

Java is used for building large-scale AI systems, integrating AI into business applications, and handling complex AI-driven processes.

4. C++

C++ is known for its speed and efficiency, making it suitable for AI applications requiring high-performance computing, such as gaming AI and real-time decision-making systems.

What is C++ used for in AI?

C++ is widely used for developing AI in robotics, autonomous systems, and high-speed AI-driven simulations.

5. Julia

Julia is a rising star in AI and machine learning. Its high-performance computing capabilities make it ideal for handling massive datasets and complex numerical computations.

What is Julia used for in AI?

Julia is used for high-performance machine learning applications, scientific computing, and mathematical modeling in AI research.

Also Read: Tech Pay Guide: 9 Key Factors That Influence Developer Salaries

6. Lisp

Lisp is one of the oldest programming languages for AI and is still relevant today due to its flexibility and symbolic processing capabilities. It’s often used in NLP and AI-driven expert systems.

What is Lisp used for in AI?

Lisp is used for developing AI algorithms, processing symbolic data, and building intelligent agents for automation.

7. Prolog

Prolog is a logic-based AI language that excels in problem-solving and knowledge representation. It’s widely used in AI research and applications like expert systems and automated reasoning.

What is Prolog used for in AI?

Prolog is used for developing AI-based reasoning systems, chatbots, and rule-based AI applications.

8. JavaScript

JavaScript plays a growing role in AI development, especially for web-based AI applications. Frameworks like TensorFlow.js allow developers to run machine learning models directly in the browser.

What is JavaScript used for in AI?

JavaScript is used for developing AI-powered web applications, real-time data visualization, and interactive AI-driven tools.

9. Scala

Scala, known for its functional programming capabilities, is gaining popularity in AI and big data analytics. It’s often used with Apache Spark for handling massive datasets.

What is Scala used for in AI?

Scala is used for processing large-scale AI data, implementing machine learning models, and integrating AI into big data platforms.

Also Read: Mobile App Developers: Driving Innovation in the Digital Age

10. Swift

Swift, Apple’s preferred programming language, is becoming more relevant in AI for mobile applications. It’s used in AI-powered iOS apps, including voice recognition and image processing tools.

What is Swift used for in AI?

Swift is used for developing AI-powered mobile applications, integrating AI into iOS apps, and processing machine learning models on Apple devices.

#AI #ArtificialIntelligence #MachineLearning #DeepLearning #Programming #Coding #SoftwareDevelopment #Tech #Technology #Innovation

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australiajobstoday · 4 months ago

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Assistant Project Lead

. You’ll also develop a know-how in the use of our in-house technology, which include Project Home Page (PHP), Prolog and Atlas… Apply Now

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aitoolswhitehattoolbox · 4 months ago

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Assistant Project Lead

. You’ll also develop a know-how in the use of our in-house technology, which include Project Home Page (PHP), Prolog and Atlas… Apply Now

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josephkravis · 6 months ago

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Are Deep Fakes An Issue

Well, sometimes you have to poke fun at yourself! lol

What will be will be when it comes to deep fakes! This is not me! Thoughts and Ideas: A Prolog Well, sometimes you have to poke fun at yourself! lol Joseph Kravis Thank you for engaging with this post – a blend of human insight and AI innovation. As we explore the ever-evolving landscape of technology and creativity, it’s clear that the opportunities for expanded thinking are immense. The…

#AI #Deepfakes #funny #Thoughts & Ideas

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blogchaindeveloper · 7 months ago

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Skills required to become an AI developer

The employment environment is changing due to the exponential expansion of automation and Artificial Intelligence (AI) technology. It is predicted that automation will affect almost 800 million professionals globally by 2030, requiring a change in job duties. Exciting opportunities are emerging in this disruptive period, especially in AI engineering. The abilities, credentials, and employment opportunities needed to succeed in this field will be discussed in this article. In this changing environment, we'll also discuss the significance of AI certification and AI prompt engineer certification.

Recognizing the Function of an AI Developer

First, understanding developers' enormous responsibilities is essential to fully appreciate an AI developer's work. Developers are IT specialists who create computer software using a variety of programming languages, such as R, Java, and Python. They are also known as programmers or software engineers. While AI developers strongly emphasize AI, they share many duties with traditional developers.

An AI developer's primary duty is integrating AI capability into software applications. This position focuses on the smooth integration and application of AI logic and algorithms into IT project deliverables, as described by The Enterprisers Project.

The Increased Need for AI Programmers

It's easy to see why there's an explosion in demand for AI engineers. Applications ranging from chatbots and driverless cars to virtual assistants like Alexa and Siri are driven by artificial intelligence. The need for qualified AI specialists is growing due to businesses and organizations' eagerness to realize AI's enormous potential.

By 2025, the worldwide AI market is expected to have grown to an astounding $190.61 billion, and future estimates point to even more significant development. Though worries about AI taking jobs are still present, AI is expected to create many more new job opportunities than it will take away from existing ones.

Principal Duties of an AI Developer

Depending on the role, an AI developer's precise tasks may change; however, the following is a rough rundown of what they usually do, as provided by reputed coding school Le Wagon:

Use AI tools to solve business problems.

Create, develop, deploy, and keep an eye on AI systems.

Effectively communicate AI systems to stakeholders and project managers.

Create an architecture for data transformation and ingestion.

Keep up with the most recent developments in AI technology.

Educate team members on how to use AI technology.

Programming languages like Python, Java, and Scala, deep learning platforms, cloud computing platforms, and AI products like IBM Watson are just a few of the tools and resources that AI professionals rely on.

Languages for Programming AI Development

Programming language proficiency is essential for the creation of AI. The following languages were listed by Ideamotive as some of the top choices for AI development in 2021:

Python

Lisp

Prolog

JavaScript

C++

Java

Scala

Julia

Qualifications for Education

A bachelor's degree is required for entry-level jobs; ideally, it should be in a related field like computer science, artificial intelligence, robotics, or engineering. A master's degree can significantly improve one's professional prospects and offer insightful knowledge of the sector, even though it may not always be required.

Success-Oriented Skills

A few essential abilities are necessary to succeed as an AI developer. It is crucial to be proficient in programming languages such as Python, R, and Java. Being familiar with cloud computing is also very beneficial. Beyond technical expertise, logical reasoning, excellent problem-solving abilities, and successful teamwork are all highly valued by AI developers. Soft skills, such as strong work ethics, leadership, and effective communication, are just as critical.

Getting Accomplished in AI Developer Interviews

Hiring an AI developer requires more than knowing how to code. During interviews, it is critical to demonstrate your creativity, problem-solving skills, and original thought process. Staying current on the newest AI trends and offering samples of your prior work can help you stand out. Standard interview advice is equally relevant, such as rehearsing answers to possible inquiries, learning about the business, posing appropriate questions, and following up after the interview.

AI Developer Pay

The salary ranges for AI developers vary depending on criteria, including experience, education, geography, and work duties. The national average for AI developer salaries is approximately $126,472, while the US median wage is roughly $97,783. Typically, salaries fall between $100,000 and $150,000.

Progressing in the Domain

Improvement in the field of AI development depends on the acquisition of practical experience and ongoing skill improvement. AI developers must keep up with the newest advancements in AI and constantly improve their programming skills. Obtaining pertinent certifications and engaging in training courses are concrete ways to show that you are dedicated to continuing your education in the industry.

Employers Are Currently Seeking AI Developers

AI programmers are in great demand in a variety of sectors. Though job titles may differ, AI development abilities are essential for many AI-related occupations. AI developers are in high demand from the following industries: Information Technology, Retail, Sports/Entertainment, Education, Business and Financial Services, Government/Military, Health Care, and Food/Hospitality.

A Promising Future for AI Jobs

The future of AI-related careers seems incredibly bright. The employment of computer and information technology professionals is expected to rise by 13% between 2020 and 2030, indicating the field's strong growth. Surprisingly, AI is expected to generate 12 million new jobs by 2025, more than compensating the possibility of job losses and bolstering the world economy.

How AI Certification Can Help You Advance Your Artificial Intelligence Career

AI certification—particularly the specialized AI prompt Engineer certification—is significant in today's quickly changing technological environment. Having the appropriate credentials is essential in a world where artificial intelligence propels innovation throughout all industries. Certifications for AI chatbots and developers show a professional's proficiency in creating, developing, and deploying AI solutions.

These certificates give you a competitive edge in the employment market, where AI abilities are highly sought after and validate your expertise. Possessing an AI certification or being a certified chatbot expert can lead to new job options as businesses depend increasingly on chatbots and intelligent systems. In addition, certification tests in artificial intelligence guarantee that practitioners remain current on the most recent developments in the field, which supports their ongoing growth and significance.

Becoming an AI developer requires a solid technical background, a strong educational foundation, and a commitment to staying current in a changing field. AI developers are crucial to determining the direction of technology and business as the need for AI grows. Pursuing AI certification is a significant step in advancing your career in the exciting field of artificial intelligence rather than just a business decision.

Blockchain Council is a recognized association of subject matter experts and enthusiasts for AI and fast engineer certifications. They aim to improve the world by promoting blockchain research and development, use cases, products, and knowledge. For those who want to become certified Prompt Engineers and become experts in AI, Blockchain Council is an excellent resource for putting oneself at the forefront of technological progress.

#AI certification

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prologic-technologies · 5 months ago

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Custom Web Development Company We are a custom web development company dedicated to solving your unique business challenges. Establish a strong digital presence with experts who understand your potential clients and effective ways to reach them. For B2B businesses, our solutions offer a clear path to efficiently manage client relationships and drive success.

#prologictechnologies #custom ecommerce applications #bespoke telemedicine solution provider #custom telemedicine solution provider #prologic technologies #website development

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hillbowman · 10 months ago

Text

ggggg

v“ IN THE SERVICE OF… “

Hill Bowman

…

Born :

2472 BCE

First Transition, Past

2472 BCE

April / May

............................................

..............................................

Table of contents:

..............................................

Table of contents:

forward:

Prologue:

Historic review:

Preamble:

Preface:

Article publication preface:

Chapter 1,

Chapter 2,

Chapter 3,

Chapter 4,

Chapter 5,

Chapter 6,

Chapter 7,

Chapter 8,

Chapter 9,

Chapter 10,

Chapter 11,

Final Note

.............................................

Forward

" In The Service Of…":

Long before the advent of organized astronomy ancient man had the capacity to perceive his natural and created environment.

The presumption that ancient man is less intelligent or analytical than technological Modern Man is a fallacy.

After all, how do you think we got here.

Further, the hypothesis that Humanity will be ( in the far flung future ) somehow morally better as a biological organism or individual then the man of today is also a fallacy.

The fundamentals psychological objectives of humanity as a species and man as an individual has been exactly the same since the dawn of time. Man will continue to operate on the fundamental psychological frame work we now have through out the continuum of humanity as a species.

The bulwark of human psychology is in individual and as a species is as follows…

Curiosity:

To explore:

To claim:

To occupy:

To conquer:

To discriminate:

To wage war:

Rinse & Repeat:

This is been the Hallmark of humanity sense the dawn of time. To expect the human psychology to alter in any significant way is rubbish.

Anyone who professes that the human psychology will ultimately grow morally lives in delusion and has forgotten the fact that singular man is the apex predator on this planet.

Period.

...

Prolog:

Location:

~~Somewhere along the~~ northwestern Fringe of what would become the Persian empire within the geography of what was still considered the Sumerian city-state.

...

2472 BCE

Second Transition

2472 BCE

September / October

.............................................

Chapter 1

First breath

Location:

~~At a local trade market~~ somewhere along the borderlands of the Persian & Assyrian empires.

...

History, Environment:

2450 BCE

In the land that would soon be the ruins of the Sumerian (first dynasty) which was crumbling due to constant warfare with neighboring societies. Further, overgrowth of population and reduction of raw resources due to a changing natural environment sealed the coffin on Sumer as well as Arcadia and open the door for the Assyrian and Persian Empire’s.

All the while... The first dynasty of upper Egypt was steadily cruising right along.

...

2334 BCE: "

Sargon the Great":

2334 BCE:

Sargon began conquering weaker city-states. Although the civilization of Ur existed as direct predecessors and Arcadia as a contemporary of The Sumerian Empire. The Arcadian Empire is considered by many modern historians to be the first Empire in human history

...

Story line Date:

2451 BCE

First Transition, Past

2451 BCE

April / May

.............................................

Chapter 2

Some is choice, Some is fate…

Location:

~~At a local market~~ somewhere along the borderlands of the Persian & Assyrian empire...

…

History, Environment:

2450 BCE

...

In the land that would soon be the ruins of the Sumerian civilization (first dynasty) which was crumbling due to constant warfare with neighboring societies, overgrowth of population, reduction of raw resources due to a changing natural environment.

2334 BCE: "

Sargon the Great":

Sargon began conquering weaker city-states. Although the civilizations of Ur and Sumer existed as direct predecessors of The Arcadian Empire. Considered by many modern historians to be the first Empire in human history

...

Story line Date:

2450 BCE.

Second Transition, prior

2450 BCE.

August / September

.............................................

Chapter 3.

Some things never change...

And some things change forever.

Location:

~~ Sol 4 ~~

Mars

agricultural settlement

:plot 10,184

34 longitude, 18 latitude

Historic Environment:

2086 AD.

Many people consider the date May, 5 - 2086 AD. as the inauguration of the first real, population propelled expansion of the human species in to space as in enter planetary / enter galactic space fairing species…

… Upon receiving transmission confirmation that the first Stepping Stone’ enter-planetary space vessel had achieved stable orbit and was beginning to harvest resources around the planetoid of Pluto

2086 AD.:

The end of Nations:

With the idea long in the minds of world leadership from decades back 132 countries around the face of the planet capitulate to establish the UN as international singular world government.

...

Storyline date:

2148 AD.

January, 22

2148 AD.

Deep Cold

............................................

Chapter 4

Man Perpetual

Location:

~~Along the southern Coast ~~ of Venice Italy.

Historic Environment:

The Era of Papal Supremacy

…

1492 AD.

July, 23

1492 AD.

Deep Heat,

............................................

Chapter 5

On A Tour Of Every Ghetto In America

Location:

~~Some where in the desert~~

of Central New Mexico

…

Historic Environment:

The era of Corpratocracy in the guise of

‘free and elected government’.

…

2024 AD.

June, 1

2024 AD.

Deep Heat, Prior

.............................................

Chapter 6.

Title ??

...

~~Location~~

Historic Environment:

Date.

.............................................

Chapter 7.

Title ??

~~Location~~

Historic Environment:

…

Date.

…

Chapter 8.

Title ??

...

~~Location~~

Historic Environment:

Date.

.............................................

Chapter 9.

Title ??

~~Location~~

Historic Environment:

…

Date.

Chapter .

Title ??

...

~~Location~~

Historic Environment:

Date.

.............................................

Chapter 10.

Title ??

~~Location~~

Historic Environment:

…

Date.

………………………………………..

This page for your notes and thoughts:

ISO... Historic review and prologue

~~~

History Review:

…

Ducksters

History Biography Geography Science Games.

" " "

Search Ducksters

Ancient Mesopotamia

Timeline

History >> Ancient Mesopotamia

...

" " "

Ancient Mesopotamia is called the cradle of civilization. The first cities and empires formed here.

Power changed hands many times throughout the ancient history of this area. It went from the Sumer to the Akkadians to the Babylonians to the Assyrians back to the Babylonians back to the Assyrians and finally to the Persians.

5000 BC - Sumer form the first towns and cities. They use irrigation to farm large areas of land.

4000 BC - Sumer establish powerful city-states building large ziggurats at the center of their cities as temples to their gods.

3500 BC - Much of lower Mesopotamia is inhabited by numerous Sumer city-states such as Ur, Uruk, Eridu, Kish, Lagash, and Nippur.

3300 BC - The Sumerians invent the first writing. They use pictures for words and inscribe them on clay tablets (Cuniform).

3200 BC - The Sumerians begin to use the wheel on vehicles.

3000 BC - The Sumerians start to implement mathematics using a number system with the base 60.

2700 BC - The famous Sumerian King Gilgamesh rules the city-state of Ur.

2400 BC - The Sumerian language is replaced by the Akkadian language as the primary spoken language in Mesopotamia.

2330 BC - Sargon I of the Akkadians conquers most of the Sumerian city states and creates the world's first empire, the Akkadian Empire.

2250 BC - King Naram-Sin of the Akkadians expands the empire to its largest state. He will rule for 50 years.

2100 BC - After the Akkadian Empire crumbles, the Sumerians once again gain power. The city of Ur is rebuilt.

2000 BC - The Elamites capture Ur.

1900 BC - The Assyrians rise to power in northern Mesopotamia.

1792 BC - Hammurabi becomes king of Babylon. He establishes the Code of Hammurabi and Babylon soon takes over much of Mesopotamia.

1781 BC - King Shamshi-Adad of the Assyrians dies. The First Assyrian Empire is soon taken over by the Babylonians.

1750 BC - Hammurabi dies and the First Babylonian Empire begins to fall apart.

1595 BC - The Kassites take the city of Babylon.

1360 BC - The Assyrians once again rise in power.

1250 BC - The Assyrians begin to use iron weapons and chariots.

1225 BC - The Assyrians capture Babylon.

1115 BC - The Second Assyrian Empire reaches its peak under the rule of King Tiglath-Piliser I.

1077 BC - Tiglath-Piliser dies and the Assyrian Empire becomes weaker for a time.

744 BC - The Assyrian Empire becomes strong once again under the rule of Tiglath-Piliser III.

721 BC - King Sargon II takes control of Assyria. The empire grows stronger.

709 BC - Sargon II takes control of the city of Babylon.

705 BC - Sargon II dies and Sennacherib becomes king. He moves the capital to Nineveh.

668 BC - Ashurbanipal becomes the last great King of Assyria. He establishes a great library in the city of Nineveh.

626 BC - Ashurbanipal dies and Assyria begins to crumble.

616 BC - Nabopolassar takes control of Babylon back from the Assyrians and crowns himself king. The neo-Babylonian empire begins.

604 BC - Nabopolassar dies and Nebuchadnezzar II becomes King of Babylon. He will rule for 43 years and bring the Babylonian Empire to its peak.

550 BC - Cyrus the Great rises to power and the Persian Empire begins.

539 BC - Cyrus the Great takes the city of Babylon and lets the Jewish people return to Israel.

522 BC - Darius I becomes King of Persia. He expands the empire and divides it up into states each ruled by a governor called a satrap.

518 BC - Darius I establishes the capital of the Persian Empire at Persepolis.

490 BC - Darius I attacks the Greeks. He is defeated at the Battle of Marathon.

480 BC - Xerxes I tries to conquer the Greeks with a huge army. He is eventually turned back in defeat.

333 BC - Alexander the Great invades the land and conquers the Persian Empire.

Learn More about Ancient Mesopotamia:

Overview

Timeline of Mesopotamia

Great Cities of Mesopotamia

The Ziggurat

Science, Inventions, and Technology

Assyrian Army

Persian Wars

Glossary and Terms

Civilizations

Sumerians

Akkadian Empire

Babylonian Empire

Assyrian Empire

Persian Empire Culture

Daily Life of Mesopotamia

Art and Artisans

Religion and Gods

Code of Hammurabi

Sumerian Writing and Cuneiform

Epic of Gilgamesh

People

Famous Kings of Mesopotamia

Cyrus the Great

Darius I

Hammurabi

Nebuchadnezzar II

...

Works Cited

...

History >> Ancient Mesopotamia

Historic timeline courtesy of

Ducksters.com

History, biography, geography, science, and games

" " "

...

“ “ “

Mesopotamia:

Mesopotamia was an ancient land. It lay between and around the Tigris and Euphrates Rivers. Most of it was in what is now the country of Iraq. There are some river valleys like the Nile where yearly flooding is predictable. This was not the case for Mesopotamian rivers. The currents were more violent. That meant people living there had to work harder to produce food. Also, resources like wood were rare. This meant that societies in Mesopotamia had to trade or fight with each other to get the resources they needed. Five thousand years ago, Mesopotamia was a land of city-states.

“ “ “

Historic foot notes from:

Rise of Empires: Akkadians and Assyrians

~~By Bennett Sherry~~

Google search: free PDF download.

‘pdf’+’Rise of Empires: Akkadians and Assyrians’

" " "

...

…

“ “ “

Most people lived in walled cities. There were dozens of city-states. Each was ruled by its own king. The city-states were often at war with each other. Over time, the city of Akkad grew stronger than the others. Around 2334 BCE, it began conquering the other cities.

“ “ “

Historic foot notes from: Rise of Empires: Akkadians and Assyrians

~~By Bennett Sherry~~

Google search: free PDF download.

‘pdf’+’Rise of Empires: Akkadians and Assyrians’

" " "

…

“ “ “

Before

3000 BCE, the cities of Mesopotamia were mostly Sumerian. Sumerian was the major language of Mesopotamia until this time. It was also the world’s first written language. The Sumerians invented a writing system. It is called cuneiform. city-state is a political system. It consists of a city and the surrounding land under its control. City-states can be ruled by a government. Or, they can beruled by a king.

Bennett Sherry

“ “ “

Historic foot notes from: Rise of Empires: Akkadians and Assyrians

~~By Bennett Sherry~~

Google search: free PDF download.

‘pdf’+’Rise of Empires: Akkadians and Assyrians’

“ “ “

…

“ “ “

Around 3000 BCE, a new people arrived in northern Mesopotamia. They spoke a Semitic language. We call them Akkadians. The name comes from the city they built, Akkad. The Akkadians ruled history’s first empire. An empire is a political system. A strong state is at its center. That state controls weaker states around it. A bunch of different ancient empires rose in Mesopotamia because it was pretty easy to get to. By contrast, the Nile river valley was surrounded by desert and hard to reach. This is why Mesopotamia was home to the first empires. It was a bunch of separate city-states on fertile land that was easy to march an army across.…

“ “ “

Historic foot notes from:

Rise of Empires: Akkadians and Assyrians

“. “ “

~~By Bennett Sherry~~

Google search: free PDF download.

‘pdf’+’Rise of Empires: Akkadians and Assyrians’

" " "

…

“ “ “

The Akkadians:

One of Akkad’s kings was a man named Sargon. He was the founder of the Akkadian Empire. In 2334 BCE,

Sargon began conquering weaker city-states. Sargon had the world’s first full-time army with 5,400 soldiers. With it, he built the world’s first empire. It ran from the Persian Gulf to Turkey. The Akkadian Empire did not last long. It fell apart soon after Sargon died. Mesopotamia then returned to being a group of warring city-states. But before long, another empire arose.

“ “ “

Historic foot notes from:

Rise ofEmpires: Akkadians and Assyrians

~~By Bennett Sherry~~

Google search: free PDF download.

‘pdf’+’Rise of Empires: Akkadians and Assyrians’

" " '

…

“ “ “

The Assyrians:

The Assyrian Empire followed the Akkadian Empire. It was much longer-lived. It lasted from 2025 to 609 BCE. The Assyrian empire had three stages: the Old Kingdom, the Middle Empire, and the Neo-Assyrian Empire. For 1,400 years, the Assyrian Empire controlled Mesopotamia. The Assyrian Empire began with the city of Asur. This city had been ruled by Akkad. After the Akkadian empire fell, Asur conquered several nearby cities. Nineveh was one of them. It later became the Assyrian capital. By the seventh century BCE, the Assyrians ruled a huge empire. It stretched from Egypt to Iran.…

…

Historic foot notes from:

Rise of Empires: Akkadians and Assyrians

~~By Bennett Sherry~~

Google search: free PDF download.

‘pdf’+’Rise of Empires: Akkadians and Assyrians’

" " "

...

~~~

Preface:

…...........................................

Definitions

…

Weights, Measures, Currencies and Time increments

:::::::::::::::::::::;:::::::::::::::::::

Currency:::

...

Shell:

One 'Shell’, literally a seashell during the time of it's use, held currency value (spending power) roughly equivalent to a modern U.S. dollar throughout the duration of its use as a coin currency. Though just a humble object.

the Sea Shell was used as currency by humanity from the Dawn of man through out antiquity.

Discoveries of modern archaeology suggest that standardized currency such as the seashell have existed in almost every Society of humanity for as long as we have been able to count 10 fingers on our hands and 10 toe's on our feet.

There is some archaeological evidence suggesting standardized currency possibly predating even metallurgic smelting capabilities...

Not just barter and trade but also a standardized currency and banking structure are apparent innate necessities of the human socio-mechanistic structure. Possibly preceding the city-state of Ur, Sumer and Arcadia

At any rate; the humble seashell remained a critical component of organized trade for multiple societies beginning possibly as far back as 9000 BCE all the way through the birth of recorded civilization and written history. Only falling out of favor towards the end of the 4th century BCE.

Thus making the humble seashell the longest running coinage in continuous circulation in all of human history.

No Wonder as its inflation rate was 1/1000 of 1% per century…

...

" " "

Shells have been used for at leastfour millennia as a bargaining chip in China and Europe, and when metal coins became popular, they were often re-produced on them. The profile of a cowry, a shell always linked to the concept of money, appeared on the first coins of the Western world around the 5th -4th century BC.

" " "

https://benthamscience.com › chapter

Chapter - Shells as Currency - Bentham Science Publisher

" " "

...

" " "

Wikipedia -

Shell money

Shell money is a medium of exchange similar to coin money and other forms of commodity money, and was once commonly used in many parts of the world.

...

Wikipedia

" " "

Commerce, trade, and early forms of currency can be documented for thousands of years before the first coins were minted in southwestern Turkey in the 7th century BC. Exchanges of goods and services before that time were tracked by detailed receipts and notations that took many forms. Among the earliest are represented in the show by clay balls that contain small tokens that represented numbers

" " "

…

Talon:

The 'Talon' when first minted is bileaved to be by many historian is believed to represent the economic value of a healthy fertile Bull.

Talon :

One ‘Talon’. the ‘Talon’ was a printed gold coin of standardized weight.

equivalent to the largest coin currency value in the Roman Empire.

For example 100 gold Tallens would purchase a hundred head of prime cattle or secure you a very nice Roman Villa, with surrounding yard and Gardens...

Then next two highest exchange

of currency would be contract exchange

of materials or agreements of Allegiance...

And then of course the sword

and poison...

...

Pence:

…

Pound:

…

Time :::

Sundial:

in ancient instrument of telling time consisting essentially of a stick at the center of a circle with the shadow of the stick indicating the chronology of the transit of the Sun.

...

Lengths and Distance:::

...

Finger:

...

Palm:

…

Cubit:

…

League:

…

Historic preface concluded:

0 notes

ifieldsmart · 1 year ago

Text

The Ultimate Guide to Top 10 Construction Management Software

Cloud-based and AI-driven construction management software has transformed construction project outcomes through improved data accessibility, real-time collaboration, automation, risk management, document management, and reporting and analytics.

Introduction

Construction management entails coordinating and overseeing various project corners including planning, scheduling, risk reduction, collaboration, budgeting, and quality assurance. As the construction landscape continues to pose complexities and challenges, it is critical for construction managers to latch onto cloud-based construction management software to realize projects within schedule and budget, driven by high quality standards.

Traditional processes and tools related to construction management aren’t able to cut it for complex, cost, and time-driven projects. Current construction management software are cloud-based reinforced by advanced AI and ML algorithms to manage the gamut of activities to track and manage construction. A single dashboard with multiple tools pre-integrated within the platform fosters simplicity, visualization, collaboration, and performance to achieve successful construction management outcomes.

Roadblocks observed with legacy construction management processes and tools.

Without or outdated construction management software, projects can develop complications due to:

Version control issues

Limited document accessibility

Communication setbacks

Data silos

Restricted scalability

Absence of real-time insights

Inefficient workflows

Data-security lapses

With diverse construction management software available in the market, it can be daunting to select the right one for your firm and projects. The following article is an ultimate guide to top 10 construction management software solutions that offer a spectrum of capabilities for diverse project and company needs.

Top 10 construction management software to realize project wins.

1. iFieldSmart Technologies

iFieldSmart Technologies is an end-to-end construction management platform that supports various teams to manage construction projects from start to finish. With a strong suite of tools for project planning, collaboration, scheduling, document management, analytics, and budgeting, iFieldSmart fosters communication, transparency, and productivity across various building phases to ensure high-impact outcomes.

2. Procore

Procore is a construction management software that helps project teams simplify tasks from bidding to closeout. With offerings like document management, real-time collaboration, mobile accessibility, scheduling and budgeting, Procore improves communication and efficiency.

3. Autodesk BIM 360

Autodesk BIM 360 is a cloud-based construction management platform that provides end-to-end solutions for BIM workflows. It supports collaboration between stakeholders, renders real-time model and data access, issue monitoring, clash detection, and document management to augment coordination and efficiency.

4. PlanGrid

PlanGrid as a construction management software is designed to streamline document management and field collaboration. It offers various features to access, share, and annotate documents and drawings in real-time including offline and online. PlanGrid tools refine productivity and communication to improve project coordination and reduce errors onsite.

5. Trimble Prolog

Trimble Prolog is an all-inclusive construction management software solution that streamlines project workflows and controls. It provides various tools for managing RFIs, Submittals, schedules, budgets, and a spectrum of other features on a unified platform to manage project data and validate accountability. Trimble Prolog delivers real-time reporting and insights to support informed decision-making.

6. Viewpoint Vista

Viewpoint Vista is a fully-integrated construction management software platform that offers simple, yet formidable modules for project collaboration, resource management, job costing, and finance management. Using customized dashboards and reporting features, Viewpoint Vista delivers real-time visualization into project performance to elevate profitability and efficiency for contractors by simplifying resource allocation and improving operations.

7. Buildertrend

Buildertrend is again a cloud-based construction management platform customized for firms that specialize in residential construction. It provides tools for document management, scheduling, client management, etc. Buildertrend encourages real-time collaboration between project participants to improve transparency for the entire project lifecycle. With an intuitive interface and mobile app, it augments project efficiency and fosters client satisfaction.

8. ConstructionSuite

ConstructionSuite built by UDA technologies is a construction management software built for SMB’s with tools like scheduling, estimating, project and client management. Its offerings include tailored templates and workflows to simplify project processes and deliver real-time project reporting and tracking for better profitability and efficiency.

9. Jonas Premier

Jonas Premier works as a fully integrated construction management and accounting tool with features like subcontractor management, job costing, financial reporting, and billing. A user friendly dashboard with tailored workflows improve efficiency, standardize operations, and increase project profitability for faster construction management.

10. Sage 300 Construction and Real Estate

Sage 300 Construction and Real Estate is an in-depth construction management software built for mid-sized to large developers and contractors. It provides modules for project management, estimation, accounts, and property management. Sage 300 delivers accurate analytics and actionable insights to standardize workflows, fuel informed decisions, and enhance the chances of project success.

Future of construction management software with AI and ML promises unprecedented advancements

AI algorithms are sent to optimize planning, resource allocation, and scheduling to reduce costs and delays. Machine Learning (ML) will continue to improve predictive analytics, preempt potential issues, and recommend real-time solutions. IoT integration will foster smart construction tracking, improve safety, and productivity. Automation within robotics and drones will transform tasks including material handling and site surveying. Ultimately, AI and ML will transform the construction sector to drive efficiency and sustainability for expedited, safe, and cost-effective project handovers.

Conclusion

The construction industry will continue to evolve at every building stage and present challenges for participants including architects, contractors, sub-contractors, project managers, and owners who would need a simple, yet influential construction management software. From the above content piece, it would become clear for you to select an appropriate construction management software that would make the required difference and deliver projects on time, budget enriched by high-quality standards.

Visit: www.ifieldsmart.com

#Top 10 Construction Management Software #Construction Management Software #Construction software #Construction Management #construction project management #iFIeldSmart #Civil #civil engineering #building technology #architects #construction #management #software

0 notes

monstrousmediagroup · 1 year ago

Text

The top 11 programming languages for creating artificial intelligence

AI is one of the most transformational technologies, changing industries and our daily lives. AI permeates virtual assistants and self-driving cars! Ever wondered what powers these smart systems? A programming language is the answer. These powerful tools let web developers omaha design unique AI solutions that think, learn, and decide like people. This blog post will cover the top 11 AI programming languages to help you choose. Put on your coding gear, and let's explore AI programming languages!

The Importance of Programming Languages in AI

AI development relies on programming languages to realize concepts. Developers write code and devise algorithms for intelligent systems using these languages. Each programming language has its own characteristics and capabilities, so choose the ideal one for your AI needs.

AI programming languages must efficiently process sophisticated mathematical calculations and data. AI analyzes large volumes of data, so a fast language is essential.

AI-specific libraries and frameworks are also crucial. Many programming languages have robust ecosystems with pre-built tools and resources to create AI algorithms quickly.

Top 11 Programming Languages for AI Development

Computing languages are essential to the development of artificial intelligence (AI), which has changed the world. Choosing an AI programming language can be difficult with so many options. To assist you choose, these are the top 11 AI programming languages:

1. Python: AI applications employ Python for its simplicity and comprehensive frameworks like TensorFlow and PyTorch.

2. Java: Java is used to construct intelligent systems due to its scalability and cross-platform compatibility.

3. R: Famous among statisticians and data scientists for its statistical capabilities, R is ideal for machine learning.

4. Julia: Julia is designed for numerical computing and provides AI algorithms with high-performance computing.

5. Lisp: One of the oldest AI programming languages, Lisp supports symbolic processing and complex reasoning systems.

6. Prolog: Logic-based programming helps Prolog represent knowledge and solve complicated issues via rule-based inference.

7. C++: AI projects that need performance optimization generally choose C++ due to its speed and efficiency.

8. MATLAB: Popular in academia and research, MATLAB facilitates algorithm building with built-in scientific computation functions.

9. Go (Golang): Developed by Google developers for concurrency support, Go allows AI applications to efficiently parallelize computation.

10. Scala: Combining object-oriented omaha web design and functional programming, Scala delivers concise code for large-scale data processing.

Strong static typing in Haskell makes secure code writing possible without losing efficiency.

To conclude, programming languages are vital to the rapid development of artificial intelligence. The correct programming language can boost AI project efficiency and success.

AI developers employ the top 11 programming languages in this article. Unique features and capabilities make each language appropriate for AI applications. There are languages for every purpose, from Python's simplicity to Java's scalability.

Whether you're an experienced developer or new to AI development, you should stay current on programming language trends. New AI development tools and frameworks will emerge as technology advances rapidly.

NO programming language is best for all AI projects. The choice depends on project needs, team expertise, and resources. Before choosing, thoroughly consider each choice.

As we enter an era of intelligent robots and data-driven solutions, understanding one or more of these top programming languages will lead to intriguing AI prospects.

Choose your weapon of code wisely, embrace innovation, and start creating innovative AI apps!

Each programming language has advantages for artificial intelligence development projects based on requirements or preferences. Whether you value simplicity, performance, or specialized libraries, a language is right for you.

Which language should you choose for AI development?

Choose a language for AI development. Many prospective AI developers ask this. There is no single solution because it depends on the project's needs and preferences. But I can give you an outline of some prominent AI programming languages.

Python's simplicity and rich library support make it a popular AI language. TensorFlow and PyTorch are popular machine learning tools. Another common choice for large-scale enterprise-level AI systems is Java, which is scalable and stable.

R may be excellent for statistical analysis or data processing. Built-in capabilities make it excellent for datasets. JavaScript can be used with TensorFlow.js or Brain.js to construct AI-powered online apps for fans of dynamic languages.

Future of AI and Programming Languages

As artificial intelligence advances exponentially, programming languages become increasingly important in molding its future. AI systems' capability and efficiency depend on their programming languages.

Deep learning will shape AI. Deep learning systems can analyze massive data sets, find patterns, and make accurate predictions. Python is a popular deep learning programming language due to its simplicity, rich libraries like TensorFlow and PyTorch, and strong community support.

A new AI trend is natural language processing (NLP), which helps computers understand human language. Java's Apache OpenNLP and Stanford NLP Library make it popular for NLP applications.

Conclusion

In our fast-changing digital age, artificial intelligence has transformed many sectors. AI is changing how we live and work by analyzing massive quantities of data and making smart decisions. Every successful AI project starts with a good programming language.

We examined the top 11 AI programming languages in this article. Each language has strengths and capabilities for distinct AI development areas.

Python's simplicity, versatility, and substantial machine learning and natural language processing packages make it a popular choice. Java followed with its stability and scalability, making it ideal for enterprise AI applications.

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what-is-ai · 2 years ago

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What Is AI In Modern World

In another example, EU co-funded KConnect is developing multi-lingual text and search services that help people find the most relevant medical information available. Some AI technologies have been around for more than 50 years, but advances in computing power, the availability of enormous quantities of data and new algorithms have led to major AI breakthroughs in recent years. In a matter of seconds, generative artificial intelligence can produce new content, such as text, images, video, and code, in response to a user-given prompt. Theory-of-mind AI are fully-adaptive and have an extensive ability to learn and retain past experiences. These types of AI include advanced chat-bots that could pass the Turing Test, fooling a person into believing the AI was a human being what is ai.

Strong AI, also known as artificial general intelligence , describes programming that can replicate the cognitive abilities of the human brain. When presented with an unfamiliar task, a strong AI system can use fuzzy logic to apply knowledge from one domain to another and find a solution autonomously. In theory, a strong AI program should be able to pass both a Turing test and the Chinese Room argument. This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information.

Some areas of medicine and science are already taking advantage of AI, with doctors using the technology to help spot breast cancers, and scientists using it to develop new antibiotics. As well as data, AI relies on algorithms - lists of rules which must be followed in the correct order to complete a task. She’s interested in understanding how our relationship with technology is changing, and how we live online.

AI programs do not need to what does ai stand for sleep or take breaks, providing 24/7 service. Indeed, advances in AI techniques have not only helped fuel an explosion in efficiency, but opened the door to entirely new business opportunities for some larger enterprises. Prior to the current wave of AI, it would have been hard to imagine using computer software to connect riders to taxis, but Uber has become a Fortune 500 company by doing just that. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible. A superintelligence is a hypothetical agent that would possess intelligence far surpassing that of the brightest and most gifted human mind. "Neats" hope that intelligent behavior is described using simple, elegant principles .

Deep learning is a form of machine learning, and machine learning is a subfield of artificial intelligence.

Historically, specialized languages, such as Lisp, Prolog, and others, had been used.

AI used for Gaming – AI is also being used in video games, apart from this AI is used in speech recognition, computer vision, robotics finance, weather forecast, the health industry, data science analysis.

In a machine learning-based solution for teaching a robot how to do that task, for instance, the robot could watch how humans steer or go around the bend.

Recommendation algorithms that suggest what you might like next are popular AI implementations, as are chatbots that appear on websites or in the form of smart speakers (e.g., Alexa or Siri).

Before machine learning, if you wanted a computer to detect an object, you would have to describe it in tedious detail. For example, if you wanted computer vision to identify a stop sign, you’d have to write code that describes the color, shape, and specific features on the face of the sign. “There are ways in which robots use models like Newtonian mechanics, for instance, to figure how to move, to figure how to not fall, to figure out how to grab an object without dropping it,” says Rus. But defining artificial intelligence can get complicated, especially when other terms like “robotics” and “machine learning” get thrown into the mix. To help you understand how these different fields and terms are related to one another, we’ve put together a quick guide.

For instance, In the 1950s, scientists viewed chess and checkers as great challenges for artificial intelligence. Computers are already tackling much more complicated problems, including detecting cancer, driving cars, processing voice commands, generating text, and writing computer code. At the time, scientists optimistically believed we would soon have thinking machines doing any work a human could do. Now, nearly seven decades later, advances in computer science and what is ai robotics have helped us automate many of the tasks that previously required the physical and cognitive labor of humans. But true artificial intelligence, as McCarthy conceived it, continues to elude us. Computer algorithms are good at taking large amounts of information and synthesizing it, whereas people are good at looking through a few things at a time.

Self-driving cars

These vehicles use machine-learning algorithms to combine data from sensors and cameras to perceive their surroundings and determine the best course of action. Andrew Ng, founder of the Google Brain Deep Learning project, feeds a neural network using deep learning algorithms 10 million YouTube videos as a training set. The neural network learned to recognize a cat without being told what a cat is, ushering in the breakthrough era for neural networks and deep learning funding. For one, it’s crucial to carefully select the initial data used to train these models to avoid including toxic or biased content. Next, rather than deploying an off-the-shelf generative-AI model, organizations could consider using smaller, specialized models.

With the advent of modern computers, scientists could test their ideas about machine intelligence. One method for determining whether a computer has intelligence was devised by the British mathematician and World War II code-breaker Alan Turing. The Turing test focused on a computer's ability to fool interrogators into believing its responses to their questions were made by a human being. As cities and states roll out algorithms to help them provide services like policing and traffic management, they are also racing to come up with policies for using this new technology. It has been argued AI will become so powerful that humanity may irreversibly lose control of it.

Advances in deep learning have pushed AI into many complicated and critical domains, including medicine, self-driving cars, and education. When paired with AI technologies, automation tools can expand the volume and types of tasks performed. An example is robotic process automation , a type of software that automates repetitive, rules-based data processing tasks traditionally done by humans.

What is AI (Artificial Intelligence)?

Additionally, there are many online communities, forums, and social media groups dedicated to AI where you can engage with other AI enthusiasts and experts. AI has the potential to revolutionize many industries and fields, such as healthcare, finance, transportation, and education. However, it also raises important ethical and societal questions, such as the impact on employment and privacy, and the responsible development and use of AI technology.

Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. For example, robots are used in car production assembly lines or by NASA to move large objects in space. Researchers also use machine learning to build robots that can interact in social settings. Machine vision captures and analyzes visual information using a camera, analog-to-digital conversion and digital signal processing. It is often compared to human eyesight, but machine vision isn't bound by biology and can be programmed to see through walls, for example. It is used in a range of applications from signature identification to medical image analysis.

However, people can't guarantee to solve arbitrary problems in these domains either. AI is not limited by time of day, the need for breaks, or other human encumbrances. When running in the cloud, AI and machine learning can be “always on,” continuously working on its assigned tasks.

Nvidia has pursued a more cloud-agnostic approach by selling AI infrastructure and foundational models optimized for text, images and medical data available across all cloud providers. Hundreds of other players are offering models customized for various industries and use cases as well. The modern field of artificial intelligence is widely cited as starting this year during a summer conference at Dartmouth College. Also in attendance were Allen Newell, a computer scientist, and Herbert A. Simon, an economist, political scientist and cognitive psychologist. The two presented their groundbreaking Logic Theorist, a computer program capable of proving certain mathematical theorems and referred to as the first AI program. It can assess students and adapt to their needs, helping them work at their own pace.

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