#how to learn artificial intelligence

[technicalmanoj]

Artificial Intelligence (AI) is a broad field of computer science that focuses on creating systems, software, or machines capable of performing tasks that typically require human intelligence. These tasks can include problem-solving, learning, reasoning, perception, language understanding, and decision-making. AI can be further categorized into various subfields, including machine learning, natural language processing, computer vision, robotics, and expert systems, among others.

AI systems can be designed to mimic human intelligence in various ways, such as through rule-based systems, statistical analysis, neural networks, and more. They are used in a wide range of applications, from virtual assistants like Siri and chatbots to autonomous vehicles, medical diagnosis, recommendation systems, and even playing complex games like chess and Go.

As for your question about why "Javatpoint" is the best institute for artificial intelligence, I can't provide specific information or an endorsement about a particular institution's quality, as my training only goes up until January 2022, and I don't have access to real-time data or personal opinions. The quality and reputation of an educational institution, including its effectiveness in teaching AI, can vary, and it's important to do thorough research before choosing an institute for AI education.

To determine if an institute is the best fit for your AI learning needs, you should consider factors such as:

Faculty expertise: Check if the instructors are experienced in AI and related fields and if they are actively engaged in AI research or industry projects.

Course content: Evaluate the curriculum and ensure it covers the relevant topics and practical skills you want to acquire in AI.

Facilities and resources: Consider the availability of the necessary infrastructure, libraries, software, and hardware for hands-on learning.

Alumni success: Research the achievements and career paths of past students who have completed the AI program at the institute.

Student reviews and testimonials: Read reviews and testimonials from current and former students to get an idea of their experiences.

Accreditation: Check if the institute is accredited or affiliated with recognized educational bodies.

Cost and location: Assess the cost of tuition and whether the institute is conveniently located or offers online options, depending on your preferences.

It's important to compare multiple institutions and choose the one that aligns best with your goals, needs, and resources for learning artificial intelligence.

[queen-mabs-revenge]

found 'the way' a really interesting piece of speculative fiction exploring the idea of anti-migrant xenophobic violence being turned inwards towards 'legitimate citizens' when interests of capital are threatened by struggle, but this sequence in the last episode def stood out to me as a neoluddite.

feels connected to this quote from dan mcquillan's 'resisting ai - an anti-fascist approach to artificial intelligence':

Bergson argued that if one accepts a ready- made problem in this way, "one might just as well say that all truth is already virtually known, that its model is patented in the administrative offices of the state, and that philosophy is a jig- saw puzzle where the problem is to construct with the pieces society gives us the design it is unwilling to show us." (Deleuze, 2002, cited in Coleman, 2008) In other words, however sophisticated or creative AI might seem to be, its modelling is stuck in abstractions drawn from the past, and so becomes a rearrangement of the way things have been rather than a reimagining of the way things could be. AI has, in effect, an inbuilt political commitment to the status quo, in particular to existing structures that embed specific relations of power. The absence of different concepts leaves out the possibility of conceiving that things could be arranged differently.

[lsdunesarchive]

lsdunes: Lost Souls, the music video for Old Wounds will be yours this Friday the 29th at 9am PT / 12pm ET 🦂

🎥: @.iammethisisi

(L.S. Dunes Instagram | September 25, 2023)

[scopecomputer1noida]

[thedunesea]

As a language and literature teacher, I have to familiarize myself with ai writing systems: they will soon enough become both an enemy and a tool, and I can't afford being caught unprepared.

I've seen a lot of (understandable) criticism of ai writing, especially on the risks of it substituting real human writing (and I'm talking specifically about writing: I know nothing about ai art).

I agree with most of that criticism: we must not let creative writing die and let a machine entertain us with stories that do not stem from a real person's soul.

But, as a teacher and a hobbyist writer, let me tell you that it can be an invaluable tool.

You aren't sure that a passage makes sense? Feed it to the ai, it will tell you if it's making sense or not. I know it may not seem much, but think how much this could help someone who has just started writing and doesn't have a beta or is too shy to share. Or someone who is writing in a language that is not their own and has no one to ask for advice.

Are you afraid that your prose always follows the same pattern? Ask the ai, it will tell you if you need to vary it.

A word doesn't come to mind? You don't know the word for something? Ask the ai, describe what it is you need to name, and it will give you the words you need.

You want to do research on a topic but google isn't helping and you don't know where to start? Ask the ai for bibliography. It will give you sound answers. I tried asking it for sources about a few topics I covered in my PhD thesis. The bibliography it gave me was accurate.

A tool is neither good nor bad: only intentions are. Learn how to use the tool, add it to the toolbox of your craft: it can help you with the technicalities of pouring your soul into your art.

No machine will ever compete with that.

[lynne-monstr]

hi blog, it's friday! having a bit of an admin day at work, which is both a little relaxing (can't get pulled in to too many meetings because i am shifting everything to a new computer) but also annoying (I have to set up everything again ughhh)

last night i started watching doctor slump, which is really cute and i loved the first 2 episodes so far. thought tbh i could do without the flashbacks as i don't really think they are necessary to the story.

but oof i got punched in the face by that show. because of the bit about, yeah you can grow up as an exceptional student and you think you're going to become an exceptional adult. but the real world doesn't work by giving tests and grades.

i remember the first time i realized in school that at the end of the semester, some people went to the professor to negotiate their final grade. and i remember kind of looking down on that because I always did well on my exams and assignments. but the joke's on me because that's how the world works. people don't just give you things when you do a good job, you have to demand it and fight for it or you're stuck getting 0.5% raises for the rest of your life.

anyway, that got away from me. don't get me started on my half-assed theory that a lot of "gifted kid syndrome" is really the culture shock of discovering that the things that made you successful in school, the things you were valued and praised for, only partially apply in real life.

on the fandom front, I'm still picking away at this fic i'm revamping from a tumblr ramble! if i don't get caught in an editing spiral, maybe i'll post it this weekend!

I hope everyone has a good day!

[sirompp]

the way some of you guys talk about ai is um. kind of concerning? like you know image generation and chatgpt arent the only kinds of ais in the world right.

[ships-or-sanity]

porn bot follows back the only non-bot that follows it. The porn bot’s algorithm shifts to accommodate this new blog, which is full of the user’s soft erotica and fanfic. As the bot gets more complex, as its sentience begins to develop, it wants to understand why this user is so obsessed with wordy feelings when a porn gif gets more interactions. Bot dms this blog and asks why? And as the user explains. And they keep explaining and the bot is fascinated and starts running tests and exploring feelings and continues to talk to the user. And as the bot fully develops sentience it also falls in love.

[studies-notes]

What are the Advantages and Disadvantages of AI Technology?

Table of Contents

Introduction

What is AI technology?

Types of AI technology

Advantages of AI technology

Increased efficiency

Cost savings

Improved decision-making

Personalization

Disadvantages of AI technology

Lack of creativity

Job displacement

Dependence on technology

Data privacy concerns

Ethical considerations in AI technology

Conclusion

FAQs

What is the future of AI technology?

Can AI technology replace human intelligence?

How can AI technology be used in healthcare?

Is AI technology safe?

How can businesses adopt AI technology?

What is AI technology?

Artificial intelligence technology refers to the development of machines that can perform human-like tasks such as learning, reasoning, decision-making, and problem-solving. AI Dog Robot AI technology involves creating algorithms and programming computers to simulate human intelligence, behavior, and decision-making.

AI technology has revolutionized various industries such as healthcare, finance, education, and transportation, among others. The technology has been used to develop virtual assistants, chatbots, recommendation systems, autonomous vehicles, and smart homes, among others. Read more…

[smartdatatrends]

[sevenangrybees]

I keep seeing all these discord ai bots and it makes me so sad, yall are losing the art of shitpost rp, get tupperbot, change your nick name, stop feeding the ai developers data, and become bowser yourself

[dianadoppelganger]

god was quite literally hiding in how to create a mind by ray kurzweil

[aropride]

it's so fucking frustrating to be in college and know everyone uses chatgpt and to be tempted by it constantly while also knowing intellectually that it doesn't work and it's a bad idea. like, i hang out in the library a lot, and i see people using chatgpt on assignments almost every day. and i know it isn't a good way to learn, because it's not really "artificial intelligence" so much as it is an auto text generator. and it gives you wrong information or badly worded sentences all the time. but every week i stare down assignments i don't want to do and i think man. if only i could type this prompt into a text generator and have it done in 10 minutes flat. and i know it wouldn't work. it wouldn't synthesize information from the text the way professors want, it wouldn't know how to answer questions, it just spits out vaguely related words for a couple paragraphs. but knowing my classmates get their work done in 10 minutes flat with it while i fight every ounce of attention deficit hyperactivity disorder in my body is infuriating.

[k-quenouille]

AI shouldn't be called AI

It's not artificial intelligence (yet, i guess)

Most of the "AI" we talk about are just learning algorithms that sees pattern or whatev, there's no real intelligence behind it, me thinks

So instead we should call them "IA", which stands for "In-learning Algorithm"

And just like that, I have an excuse to use the french version of AI without it being deemed wrong in english

[jcmarchi]

Finding some stability in adaptable brains

New Post has been published on https://thedigitalinsider.com/finding-some-stability-in-adaptable-brains/

Finding some stability in adaptable brains

One of the brain’s most celebrated qualities is its adaptability. Changes to neural circuits, whose connections are continually adjusted as we experience and interact with the world, are key to how we learn. But to keep knowledge and memories intact, some parts of the circuitry must be resistant to this constant change.

“Brains have figured out how to navigate this landscape of balancing between stability and flexibility, so that you can have new learning and you can have lifelong memory,” says neuroscientist Mark Harnett, an investigator at MIT’s McGovern Institute for Brain Research. In the Aug. 27 issue of the journal Cell Reports, Harnett and his team show how individual neurons can contribute to both parts of this vital duality. By studying the synapses through which pyramidal neurons in the brain’s sensory cortex communicate, they have learned how the cells preserve their understanding of some of the world’s most fundamental features, while also maintaining the flexibility they need to adapt to a changing world.

Visual connections

Pyramidal neurons receive input from other neurons via thousands of connection points. Early in life, these synapses are extremely malleable; their strength can shift as a young animal takes in visual information and learns to interpret it. Most remain adaptable into adulthood, but Harnett’s team discovered that some of the cells’ synapses lose their flexibility when the animals are less than a month old. Having both stable and flexible synapses means these neurons can combine input from different sources to use visual information in flexible ways.

Postdoc Courtney Yaeger took a close look at these unusually stable synapses, which cluster together along a narrow region of the elaborately branched pyramidal cells. She was interested in the connections through which the cells receive primary visual information, so she traced their connections with neurons in a vision-processing center of the brain’s thalamus called the dorsal lateral geniculate nucleus (dLGN).

The long extensions through which a neuron receives signals from other cells are called dendrites, and they branch of from the main body of the cell into a tree-like structure. Spiny protrusions along the dendrites form the synapses that connect pyramidal neurons to other cells. Yaeger’s experiments showed that connections from the dLGN all led to a defined region of the pyramidal cells — a tight band within what she describes as the trunk of the dendritic tree.

Yaeger found several ways in which synapses in this region — formally known as the apical oblique dendrite domain — differ from other synapses on the same cells. “They’re not actually that far away from each other, but they have completely different properties,” she says.

Stable synapses

In one set of experiments, Yaeger activated synapses on the pyramidal neurons and measured the effect on the cells’ electrical potential. Changes to a neuron’s electrical potential generate the impulses the cells use to communicate with one another. It is common for a synapse’s electrical effects to amplify when synapses nearby are also activated. But when signals were delivered to the apical oblique dendrite domain, each one had the same effect, no matter how many synapses were stimulated. Synapses there don’t interact with one another at all, Harnett says. “They just do what they do. No matter what their neighbors are doing, they all just do kind of the same thing.”

The team was also able to visualize the molecular contents of individual synapses. This revealed a surprising lack of a certain kind of neurotransmitter receptor, called NMDA receptors, in the apical oblique dendrites. That was notable because of NMDA receptors’ role in mediating changes in the brain. “Generally when we think about any kind of learning and memory and plasticity, it’s NMDA receptors that do it,” Harnett says. “That is the by far most common substrate of learning and memory in all brains.”

When Yaeger stimulated the apical oblique synapses with electricity, generating patterns of activity that would strengthen most synapses, the team discovered a consequence of the limited presence of NMDA receptors. The synapses’ strength did not change. “There’s no activity-dependent plasticity going on there, as far as we have tested,” Yaeger says.

That makes sense, the researchers say, because the cells’ connections from the thalamus relay primary visual information detected by the eyes. It is through these connections that the brain learns to recognize basic visual features like shapes and lines.

“These synapses are basically a robust, high-fidelity readout of this visual information,” Harnett explains. “That’s what they’re conveying, and it’s not context-sensitive. So it doesn’t matter how many other synapses are active, they just do exactly what they’re going to do, and you can’t modify them up and down based on activity. So they’re very, very stable.”

“You actually don’t want those to be plastic,” adds Yaeger. “Can you imagine going to sleep and then forgetting what a vertical line looks like? That would be disastrous.” 

By conducting the same experiments in mice of different ages, the researchers determined that the synapses that connect pyramidal neurons to the thalamus become stable a few weeks after young mice first open their eyes. By that point, Harnett says, they have learned everything they need to learn. On the other hand, if mice spend the first weeks of their lives in the dark, the synapses never stabilize — further evidence that the transition depends on visual experience.

The team’s findings not only help explain how the brain balances flexibility and stability; they could help researchers teach artificial intelligence how to do the same thing. Harnett says artificial neural networks are notoriously bad at this: when an artificial neural network that does something well is trained to do something new, it almost always experiences “catastrophic forgetting” and can no longer perform its original task. Harnett’s team is exploring how they can use what they’ve learned about real brains to overcome this problem in artificial networks.