#Scope of Generative AI in Software Development.

[education-and-certification]

The Future of Coding: Generative AI in Software Development

Generative AI and large language models (LLMs) are not entirely novel technologies, but their significance became widely recognized with the introduction of ChatGPT by OpenAI.

The remarkably human-like capabilities of ChatGPT captivated the public’s interest, sparking discussions about concerns such as the potential for misinformation, biases, and the conceivable replacement of human roles, including that of software developers. Here, Generative AI software development certification brings new revolutions for engineers.

[quirkyfries]

Some more tsams/eaps headcanons because I’m bored in class

To expand on the AI chip thing mentioned previously: Ai chips come with a base, company-appointed personality and traits. Most Suns start off loud and naïve. Most Moons start off too curious for their own good. Suns fidget with their rays. Moons prefer auditory stimulation. Etc. It’s only when that base personality/programming is subject to an environment that teaches the base personality something—Our Sun learned to put up with things he didn’t like for a time, Old Moon learned that force kept Sun in the little box he needed Sun to be in to feel in control—that new information is stored into the chip. Eclipses do not have a set personality and are generally a hodgepodge of both depending on how they came to be. (For example, Eclipse and Solar have just enough Moon base personality in them to set them apart from Sun, but both are mostly Sun base programming. Ruin is a careful mix of both Sun and Moon programming because they were able to manually edit that, which resulted in a personality reset when they fully merged. (Lunar is a special case, Eclipse shoved most of his remaining Sun base personality off to Lunar, but because Eclipse is a mix of both, that code was inseparable from some Moon base personality.) When a personality has developed enough, removing certain parts of the base personality can affect the function of that part of the developed personality, for example, if Lunar were to delete some of his Sun base programming, he would find that experiencing things that stem from that programming disorienting, because the foundation that allowed the proper response to that stimuli is gone. In small bits, it’s possible to remove base traits like preferences, or entire personality traits so long as it’s done early in that AI’s development. There are workarounds to this. Dark Sun knows a lot of those workarounds, but that doesn’t mean he uses them often.

On material objects, Star power can act like radium with a shorter halflife. The same goes for negative star power. Visiting dimensions with high levels of either can result in contamination, such as Ruin’s dimension in the time it was accessible or Dark Sun’s pocket dimension without proper protections. Contamination is a residue of the power that fades over time if it is not removed. If certain components are contaminated, like processors or joints, their performance can be affected. [Note I’m not the most familiar with TSAMS’ established magic rules or most things about star power, I just have a general idea of it and this makes the most sense to me.] Also note I said material objects, this does not extend to software, where it acts differently.

It is possible to detect levels of Star power in dimensions with technology coveted by Dark Sun, Nexus, and Ruin, all for different reasons. By analyzing spikes or sudden drops in levels of a dimension, it’s possible to guesstimate where a dimension hopper with high levels of either power ended up. If Nexus were to drop into another dimension, Dark sun could figure out which one based on recent trends in Star power levels across the dimensions in his scope, in Nexus’ case the levels would drop because the negative Star power isn’t 100% negated by the present positive Star power. The closer the levels of Star power are to each other, the more stable the trends are, because they tend to cancel each other out. Think of a seismograph and detecting earthquakes, with the constant levels being the equal amounts of negative and positive power. The balance of these energies fluctuate in natural cycles. The Astrals are part of these cycles.

Take anything I say about the magic thing with a massive grain of salt, the most I know is the concept of magic pools and general applications of magic per individual users, and there might’ve been something involving golden Freddy idk. I like to imagine magic as metaphorical hula hoops. Everyone’s hula hoop is a little bit different in color, size, features etc, but the user must know how to use the hula hoop to be able to use their magic. Learning different ways to use the hula hoops is the equivalent of expanding what the user’s magic is capable of (Transmutation, teleportation, and summoning things are all different capabilities that can be learned, for example. Some are considered more complex than others.) in my head ruin’s hula hoop lights up with activity lol. Sun’s hula hoop makes groan tube noises. Being able to do different things/multitasking while using the metaphorical hula hoop is something that can be learned by users with more experience. Ruin is one of these users. Eclipse is also able to do this, but tends to combine it with technology. (Continued in a reblog)

[kaipassedgo]

a little rant about ai "art"

Many creatives are being actively steered away from creative fields for the purpose of living for a wage instead of living for the art. Just within my friend group leaving high-school (where all of them were creatives, artists, and musicians) of 15, only 5 pursued the arts as a post secondary, the others pushing art aside to be just a hobby, or forgetting and losing it entirely. The unsteady job market has always been a universal truth for artists, however it was always a thing we could keep going at, because while it may not pay much or be harder to “break in” so to speak, there would always be art that needed to be made (graphic design, visual art, photography, video editing, animation, etc.).

Meanwhile developing artists have been fed AI “tools” in their art programs and softwares, and are never learning the true facet of art: that everything has a process, and you have to learn the rules before breaking them. The continuing prospects of AI taking over/replacing artists will discourage new artists to start, thus leading to the loss of a talent so entwined with human history. 

Generative AI – while created at a time that it was a gimmick and a novelty – with the way it has developed and grown, has been taken by many members of this capitalist society as a shortcut to cutting costs, as they can “ethically” cut labour costs. However, their ethics of these cost cuts are simply swapping one bad thing for another: underpaid labour vs intellectual property theft and the ecological concerns brought on by data centers. With the intrigue and allure of making “free” art, the rate at which artists are being hired, commissioned, and even considered is declining at a concerning pace, posing the question: Why do we value needless, and harmful technological "advancements" over the wellbeing of humanity?

Because of generative ai, and ai “art”, in the scope of human history, from this moment on, books, literature, and art, will have an asterisk beside their title reading: *could have been made by a computer.

This creates the problem seen already in human history, with burning of the Library of Alexandria; jealousy and hatred – of the containment of great knowledge, individualism and world perspectives, and the need to seek art out from those trained and talented in the craft – leading to the desecration of works of immense artistic quality and historical value. And while the art (that was unwillingly) used to feed these machines still exists, the artists who created the works no longer have true private ownership of their work, and their contribution to history gets lost in some database that generates more “art” than humanity has the emotional capability to care for.

Even though the blame for the burning of the books, is unplaced and unknown definitively, the loss of the knowledge – contained within the books or of the creation of art – can only be attested to by the ones who committed themselves to the process of learning, and intern cannot be known by the ones who decided the knowledge should be theirs without cost. 

Meaning of art is tied directly to the humanity and nature by which the artist expressed emotion through a piece. Art is made in the nuance, it is made by the mistakes, by the hand, and by the thought process it took to get there. 

When all is said and done, “AI “artists”” will have no personal hand in the creation of the work, and are liars and thieves with no legal claim over a computer’s take on the prompt it took them less than a minute to enter.  

also all excuses and justifications made to defend AI “art” are flimsy at best and stupid 😘✌️ 

Sincerely,

a tired artist who is so fucking done with this shit

[enzaelectric]

Why the Low Voltage Switchgear Market is Booming in 2025?

The low voltage switchgear market is growing rapidly in 2025 due to growth in electricity consumption, development of intelligent devices, and a strong emphasis on sustainability. Energy efficiency, digital transformation, and security are critical for industries and businesses, which leads to a high demand for new, robust, and intelligent switchgear. This article will discuss key drivers of market growth, emerging trends, and their impact on businesses and industries globally.

1. The Growing Demand for Electricity

Over the past few decades, the increasing demand for efficiency in power distribution systems has become ever imminent with the rise of general energy consumption. Rapid urban expansion, industrial development, and the emergence of data centers have been some of the major driving forces boosting the demand for low-voltage switchgear.

Global Electricity Demand on the Rise:

· The IEA projects electricity demand in developing nations will rise at a rate of 4% each year, as consumption steadily climbs.

· Data facilities and cloud computing require relentless power sources, amplifying the need for resilient switching equipment solutions capable of sustaining operations.

· The proliferation of electric vehicle charging points is compelling utilities to renovate distribution networks, ensuring functionality can accommodate increased demand.

Modernization spreads as industries broaden their scope, making electrically-reliable infrastructure an imperative; low voltage switchgear has become integral to conveying energy throughout the grid in a secure and effective manner.

2. Smart & Digital Switchgear: The Industry’s Future

Traditional switchgear technology has evolved rapidly with the integration of intelligent networking capabilities, making electrical distribution safer, more efficient, and easier to monitor remotely. The new digital switchgear incorporates IoT, AI, and cloud-based monitoring solutions to provide real-time insight into energy usage. This allows businesses to proactively optimize performance and reduce costs through more proactive maintenance strategies.

Major Developments in Intelligent Switchgear by 2025:

✅Online Sensor Networks: Constant telemetry from devices throughout the system helps pinpoint potential weaknesses before failures occur.

✅Self-learning Circuitry: AI-powered hardware and software automatically analyze usage patterns to forecast repairs, minimize outages, and heighten uptime.

✅Wireless Remote Management: Mobile apps and web dashboards give administrators off-site control over power flows to streamline usage according to need.

✅Modular Construction: Interchangeable, compact components facilitate scaling and retrofitting within varied infrastructure environments.

The shift toward automated smart grids and Industry 4.0 production is substantially contributing to the booming market for intelligent switchgear solutions. Widespread installation of these next-generation systems will transform electrical distribution networks.

3. Rising Emphasis on Energy Efficiency & Sustainability

Governments and industries worldwide have increasingly pushed for greener, more energy-efficient power solutions in recent years. This has led electrical equipment manufacturers to develop eco-friendly switchgear technologies that considerably minimize energy loss during transmission and help reduce overall carbon footprints.

Sustainable Advancements in Low Voltage Switchgear Design:

Alternative gases to SF6: Traditional switchgear commonly uses SF6 due to its insulating and arc-quenching capabilities, however this gas has an extremely high global warming potential. Many switchgear producers have since designed SF6-free solutions that substitute the highly potent SF6 with other gases that are safer for the environment.

Energy-Efficient Designs: Optimizing circuitry and components has allowed switchgear to conduct electricity with negligible power loss, enabling connected systems to leverage nearly every watt of power. Careful engineering further trims excess material use and redundant parts.

Renewable Energy Integration: Low voltage switchgear has become increasingly vital in smoothly and reliably integrating power from solar arrays and wind farms into existing electrical networks. Without robust switchgear management, it would be difficult for clean energy sources to efficiently feed power onto transmission lines.

With the implementation of more stringent energy performance mandates in countries worldwide, businesses have sound business reasons for upgrading outdated switchgear infrastructure with advanced low loss solutions both to adhere to regulations and lower long-term energy expenditures.

4. Increasing Investments in Infrastructure & Industrialization

Governments and private investors alike are pouring billions into ambitious infrastructure projects around the world, generating skyrocketing demand for reliable low voltage switchgear solutions. From towering commercial skyscrapers to sprawling industrial complexes, and expanding metro networks to bustling international airports — countless utilities depend on robust yet cost-effective switching systems to ensure continuity of operations.

🔹 Key Infrastructure Drivers Stimulating Growth:

🏗️ Smart Cities Uplift Life: Sweeping investments in digital urbanization are revolutionizing everyday living through connected infrastructure that elevates efficiency.

🏭 Manufacturing Marvels: Production powerhouses across the globe are scaling new heights, intensifying the necessity for advanced low voltage distribution controls to support increased capacity.

🚆 Transportation Transformations: Rapid progress in rail electrification and proliferation of electric vehicles for land and air are necessitating increasingly resilient switchgear designs.

As global development marches forth, low voltage switchgear has become mission critical in enabling commercial and industrial progress through reliable power distribution. The worldwide infrastructure renaissance is cementing its importance for years to come.

5. Safety & Regulatory Compliance Are Driving Upgrades

Governments and regulatory bodies are increasingly implementing strict compliance standards to safeguard electrical infrastructure and minimize hazards, compelling upgrades across many industries. Potential calamities resulting from power faults or failures necessitate vigilance in maintaining reliable and resilient systems.

New Safety Regulations in 2025:

⚡ Updated IEC & NEC Standards: Stringent low voltage switchgear specifications mandated to bolster protection.

⚡ Arc Fault Protection Technology: Novel solutions critical to curb risks of electrical ignitions and incidents.

⚡ Mandatory Energy Audits: Organizations now required to optimize distribution for both personnel and operational efficiency through audits.

With approaching deadlines to satisfy evolving regulations, operators are proactively replacing outdated switchgear to conform with mounting compliance demands, contributing to an accelerating industry transformation.

6. The Rise of Data Centers & Digital Transformation

The digital sphere fundamentally relies upon data hubs that necessitate constant power and exceedingly reliable electric frameworks. As distributed computing, man-made brainpower, and IoT reception develop exponentially, ventures are putting vigorously in cutting edge low voltage switches to ensure their foundation from energy blackouts which could bring about gigantic budgetary misfortunes.

24/7 control is essential for operations yet breakdowns prompt critical money related setbacks. To guarantee uptime, focal points utilize auxiliary switches for extra dependability and security alongside far off checking abilities through IoT innovations which empower ongoing following and administration from anywhere. With worldwide distributed computing selection quickening at a quickening pace, interest for top notch low voltage switches arriving at new statures to guarantee frameworks stay online consistently.

7. Competitive Market & Technological Advancements

The low voltage switchgear sector has seen remarkable changes and fierce competition between prestigious brands. Manufacturers are pouring resources into innovation to craft smarter, smaller, and affordable switchboard alternatives.

🔹 Notable Advancements by 2025:

⚙️ Solid-state systems promise enhanced performance and lessened upkeep. Long and compound sentences mix with short ones.

⚙️ Remote accessibility through wireless means permits control and tracking from afar.

⚙️ Self-mending grids using AI to immediately spot and amend problems, maintaining dependable power seamlessly. Complex automation alleviates faults autonomously for maximum uptime.

Conclusion: The Future of Low Voltage Switchgear Looks Bright

Low Voltage Switchgear is forecasted to experience market growth in the year 2025 due to the growing electricity consumption in countries, the rising applications of smart technologies, the increased implementation of sustainability practices, the expansive growth in various industries, and safety regulations. As these industries are gradually moving to energy-efficient, AI-powered, and environmentally friendly switchgears, this demand is expected to increase further.

[sindhu14]

What is Python, How to Learn Python?

What is Python?

Python is a high-level, interpreted programming language known for its simplicity and readability. It is widely used in various fields like: ✅ Web Development (Django, Flask) ✅ Data Science & Machine Learning (Pandas, NumPy, TensorFlow) ✅ Automation & Scripting (Web scraping, File automation) ✅ Game Development (Pygame) ✅ Cybersecurity & Ethical Hacking ✅ Embedded Systems & IoT (MicroPython)

Python is beginner-friendly because of its easy-to-read syntax, large community, and vast library support.

How Long Does It Take to Learn Python?

The time required to learn Python depends on your goals and background. Here’s a general breakdown:

1. Basics of Python (1-2 months)

If you spend 1-2 hours daily, you can master:

Variables, Data Types, Operators

Loops & Conditionals

Functions & Modules

Lists, Tuples, Dictionaries

File Handling

Basic Object-Oriented Programming (OOP)

2. Intermediate Level (2-4 months)

Once comfortable with basics, focus on:

Advanced OOP concepts

Exception Handling

Working with APIs & Web Scraping

Database handling (SQL, SQLite)

Python Libraries (Requests, Pandas, NumPy)

Small real-world projects

3. Advanced Python & Specialization (6+ months)

If you want to go pro, specialize in:

Data Science & Machine Learning (Matplotlib, Scikit-Learn, TensorFlow)

Web Development (Django, Flask)

Automation & Scripting

Cybersecurity & Ethical Hacking

Learning Plan Based on Your Goal

📌 Casual Learning – 3-6 months (for automation, scripting, or general knowledge) 📌 Professional Development – 6-12 months (for jobs in software, data science, etc.) 📌 Deep Mastery – 1-2 years (for AI, ML, complex projects, research)

Scope @ NareshIT:

At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.

It skilled you along with phase-end and capstone projects based on real business scenarios.

Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.

An end-to-end application with exciting features

Earn an industry-recognized course completion certificate.

For more details:

[bloobluebloo]

Hello!

This might be a weird question, but since you work in IT, do you use AI tools like ChatGPT or Claude a lot, or not at all? I’ve been learning programming for a few months, and honestly, it’s super hard. I’m definitely not a genius, so I use AI a lot to help me figure out what I’m doing and generate code.

The problem is that other students kind of judge and look down on people who use these tools, and it’s making me feel bad about it. Should I stop using AI altogether? I just don’t know how to manage without help or researching all the time.

If you have any tips, they'd really help me out 🙏

Thanks for reading this!

Hey anon! Well, the thing is that the IT industry in its entirety is pushing for AI integration as a whole into their products, so industry-wise it has become sort of inevitable. That being said, because we are still early into the adoption of AI I personally don't use it as I don't have much of a need for it in my current projects. However, Github Copilot is a tool that a lot of my colleagues like to use to assist with their code, and IDEs like IntelliJ have also begun to integrate AI coding assistance into their software. Some of my colleagues do use ChatGPT to ask very obscure and intricate questions about some topics, less to do with getting a direct answer and moreso to get a general idea of what they should be looking at which will segway into my next point. So code generation. The thing is, before the advent of ChatGPT, there already existed plenty of tools that generate boilerplate templates for code. As a software engineer, you don't want to be wasting time reinventing the wheel, so we are already accustomed to using tools to generate code. Where your work actually comes in is writing the logic that is very specific to the way that your project functions. The way I see ChatGPT is that it's a bit smarter than the general libraries and APIs we already use to generate code, but it still doesn't take the entire scope of your project into consideration. The point I am getting at here is that I don't necessarily think there is a problem in generating code, whether you are using AI or anything else, but the problem is do you understand what the code is doing, why it works, and how it will affect your project? Can you take what ChatGPT gives you and actually optimize it to the specifics of your project, or do you just inject it, see that it works, and go on your merry way without another thought as to why it worked? So, I would say, as a student, I would suggest trying not to use ChatGPT to generate code, because it defeats the purpose of learning code. Software engineering as a whole is tough! It is actually the nature of the beast that, at times, you will spend hours trying to solve a specific problem, and often times the solution at the end is to add one line in one very specific place which can feel anticlimactic after so much effort. However, what you get from all those hours of debugging, researching, and asking questions is a wealth of knowledge that you can add to your toolbox, and that is what is most important as a software developer. The IT landscape is rapidly changing; you might be expected to pick up a different programming language and different framework within weeks, you might suddenly be saddled with a new project you've never seen in your life, or you might suddenly have something new like AI thrown at you where you suddenly have to take it into consideration in your current work. You can only keep up with this sort of environment if you have a good understanding of programming fundamentals. So, try not to lean too much on things like ChatGPT because it will get you through today, but it will hurt you down the line (like in tech interviews, for example).

[thetechempire]

A Rising Tide of E-Waste, Worsened by AI, Threatens Our Health, Environment, and Economy

The digital age has ushered in a wave of innovation and convenience, powered in large part by artificial intelligence (AI). From AI-driven virtual assistants to smart home devices, technology has made life easier for millions. But beneath this rapid progress lies a less glamorous truth: a mounting crisis of electronic waste (e-waste).

The global e-waste problem is already enormous, with millions of tons discarded every year. Now, with the rapid growth of AI, this tide of e-waste is swelling even faster. Let’s break this down to understand the full scope of the issue and what can be done to mitigate it.

What Is E-Waste, and Why Should We Care?

E-waste encompasses discarded electronic devices — everything from old mobile phones and laptops to smart home gadgets, electric toothbrushes, and even large appliances like refrigerators. It’s not just junk; it’s an environmental and health hazard in disguise.

Each device contains a cocktail of valuable materials like gold and silver, but also toxic substances like lead, mercury, cadmium, and flame retardants. When improperly disposed of, these toxins leach into the environment, harming ecosystems and human health.

A Problem of Global Proportions

Annual Generation: The world generates over 50 million metric tons of e-waste annually, and this figure is projected to grow by 2 million tons each year.

Recycling Rates: Only 17% of e-waste is formally recycled. The rest? It ends up in landfills, incinerated, or handled by informal recycling sectors in developing nations.

While we’re busy marveling at AI-driven innovations, the discarded byproducts of our tech obsession are quietly poisoning our planet.

The Role of AI in Escalating E-Waste

AI, often lauded as the backbone of modern technology, is inadvertently exacerbating the e-waste crisis. Let’s examine the key ways AI contributes to this issue:

1. Accelerating Product Obsolescence

AI-powered devices are evolving at an astonishing pace. Smartphones with AI-enhanced cameras and processors, smart TVs with AI voice assistants, and wearables with health-tracking AI have become must-haves.

But these devices are often rendered obsolete within a few years due to:

Frequent Software Updates: AI systems improve rapidly, making older hardware incompatible with newer software.

Limited Repairability: Many modern gadgets are designed in a way that discourages repairs — sealed batteries, proprietary parts, and inaccessible interiors push consumers toward replacing rather than fixing.

Consumer Demand for New Features: AI advancements create a “fear of missing out” (FOMO), prompting consumers to upgrade frequently.

2. Proliferation of AI-Specific Hardware

AI-driven technologies require specialized, powerful hardware. Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and custom AI chips are integral to devices and data centers. Unlike general-purpose electronics, these components are challenging to recycle due to their complexity.

3. Growing Data Center Infrastructure

AI thrives on data, which means a relentless demand for computational power. Data centers, the backbone of AI, are:

Upgrading Constantly: To keep up with AI’s demands, servers are frequently replaced, generating massive amounts of e-waste.

Consuming Energy: Outdated hardware contributes to inefficiency and waste.

The Consequences of the E-Waste Crisis

The consequences of unmanaged e-waste are vast, impacting not only the environment but also human health and economic stability.

Health Hazards

E-waste releases harmful substances, including:

Lead and Cadmium: Found in circuit boards, these cause neurological damage and kidney issues when absorbed by humans.

Mercury: Found in screens and lighting, it can lead to brain damage and developmental issues, especially in children.

Burning Plastics: Informal recycling often involves burning e-waste, releasing carcinogenic dioxins into the air.

These pollutants disproportionately affect workers in informal recycling industries, often in developing countries with lax regulations.

Environmental Devastation

Soil Contamination: Toxic metals seep into the ground, affecting agriculture and entering the food chain.

Water Pollution: E-waste dumped in waterways contaminates drinking water and harms aquatic life.

Air Pollution: Incinerating e-waste produces greenhouse gases, contributing to climate change.

Economic Loss

Ironically, e-waste is a treasure trove of valuable materials like gold, silver, and rare earth elements. In 2019 alone, the value of discarded e-waste was estimated at $62.5 billion — higher than the GDP of many countries. Yet, due to poor recycling infrastructure, most of this wealth is wasted.

Turning the Tide: Solutions to the E-Waste Crisis

For Tech Companies

Design for Longevity: Adopt modular designs that make repairs and upgrades easy. For example, Fairphone and Framework Laptop are already doing this.

Reduce Planned Obsolescence: Commit to longer software support and avoid locking critical components like batteries.

Improve Recycling Systems: Implement take-back programs and closed-loop recycling processes to recover valuable materials.

For Governments

Enforce Right-to-Repair Laws: Legislation that mandates access to repair manuals and spare parts empowers consumers to fix devices instead of discarding them.

Promote Circular Economy Models: Incentivize businesses to design products for reuse, repair, and recycling.

Ban Hazardous E-Waste Exports: Prevent the dumping of e-waste in developing countries, where improper recycling leads to environmental and human rights violations.

For Consumers

Think Before You Upgrade: Do you really need the latest gadget, or can your current one suffice?

Repair Instead of Replace: Support local repair shops or DIY fixes with the help of online resources.

Recycle Responsibly: Look for certified e-waste recycling programs in your area.

Can AI Help Solve the Problem It Created?

Interestingly, AI itself could be part of the solution. Here’s how:

Optimizing Recycling Processes: AI-powered robots can sort e-waste more efficiently, separating valuable materials from toxins.

Predicting E-Waste Trends: AI can analyze data to anticipate where e-waste generation is highest, helping governments and companies prepare better recycling strategies.

Sustainable Product Design: AI can assist engineers in designing eco-friendly devices with recyclable components.

A Call to Action

The e-waste crisis is a ticking time bomb, exacerbated by the rapid rise of AI and our insatiable appetite for new technology. But the solution lies in our hands. By embracing sustainable practices, holding companies accountable, and making conscious choices as consumers, we can ensure that the benefits of AI don’t come at the cost of our planet.

It’s time to act, because a rising tide of e-waste doesn’t just threaten the environment — it threatens our future.

[kassandras-one-braincell]

hi!! i was wondering if you have any general advice for someone who wants to start posting their work on ao3? or i guess if you would advice me to do that at all lol! i saw your recent post about it in relation to the ai stuff and found it so useful since i don't usually see people talk about that, thank you for sharing <33

Hi love! Please don't let the current AI situation on AO3 dissuade you from joining the platform. In all honesty, I think the scrape was a cheap attempt at obtaining credentials for identity theft using the illegitimate DMCA forms, rather than something done for software training purposes. I'm pretty sure Cloudflare, its hosting platform, has taken action against it.

My humble advice is contained below the cut, because it's quite long, but there's a bit of a learning curve with the posting page and a couple of unspoken customs:

The bulk of everything you need to know about posting on AO3 is contained in the ToS, which hopefully will help you navigate the "post" menu. If you're unsure whether a warning applies, select "Creator Chose Not to Use Archive Warnings" just in case.

There's no algorithm, so all that readers have to go by is the (excellent) tagging system and the summary you provide.

If you struggle with summaries - most of us do - then a snippet of the work is perfectly sufficient. Ultimately, the summary is a preview of your writing, and if you opt for the excerpt approach, your style, which is your only chance to attract readers.

Tagging is a little bit intimidating the first few times as a writer, but you'll get the hang of it soon enough! Asides from central characters and pairings, this is the place to disclose the genre of the work, any key/polarising themes and/or triggers. You're not obligated by ToS to disclose these, but it's a gesture of goodwill if you know it might upset someone. If there is a disturbing theme present, include the tag "Dead Dove Do Not Eat" - this is the colloquial indicator for the reader to very carefully reread the tags, because they're to be taken literally.

When you begin to type a tag, you'll be given suggestions of the most widely used tags that match what you've typed. If the shoe fits, use these. It makes the site easier to navigate for readers. If you're spawning a tag into existence though, it will begin to appear in that little drop down after there are three works on the archive containing the tag. I know this because I was the first (and second, third and fourth lmao send help) person to upload "Soma (Assassin's Creed)/Reader" to AO3 :)

You have the option of uploading your work in the designated editor as Rich Text or HTML. The only significant difference between them is how page and paragraph breaks are formatted. If you're copy-pasting from a word processor, slap it in Rich Text, and then if you want to do anything fancy after that outside of the scope of the Rich Text editor, you'll be able to make adjustments in HTML.

While you can save a draft, the text editor is not designed to be a substitute for word processing software. There is no editing history or backup feature, so it's ill-advised to develop your work directly on the platform.

Finally, with all the technical stuff put to one side, try not to fret over metrics like hits and kudos. It's lovely to receive kudos and comments, but smaller numbers aren't indicative of your work in any way, shape or form. There are so many factors at play there, and sometimes just the time of publication can have a huge impact on reader engagement, precisely because there's no algorithm to bolster or suppress.

Take pride in your work, and keep the dopamine as isolated as possible from the thought of big numbers. I promise you, it will keep the passion alive for longer :)

join us

join us

join us

[ttranarts102-06]

Reflection 1

Starting this class has been super interesting for me. I've never really done graphic design or focused on the graphic design aspect of art until now; which frankly is a shame.

I feel like I missed out on some of the foundational skills before just jumping into this class, but so far it's been very manageable, enjoyable even.

Before this class, I had never touched an Adobe program. Navigating the different applications and slowly learning how to use them intuitively has been a bit of a challenge. Why is it that there are several programs that achieve the same products? Why use one software over the other?

Not to mention the reading too, at first I thought it wouldn't be something that I enjoyed but seeing the different perspectives was pretty cool. The variety provided by the designers and how each one has their own process made me realize the scope of graphic design. Being able to work with clients whilst staying true to your own style is so impressive.

To touch on being able to work with clients, just as in any other career, communication is very important. Not only if you're working in a studio on a team, even in freelancing, having solid communication skills counts for a lot.

Moving past that point however, we did also talk about AI and using AI to formulate ideas and support parts of the design process. Unfortunately we didn't get to go deep into the ethics of AI in design and art, but hopefully one day we can. The images attached were created using Adobe Photoshop and AI generated artwork to convey a story of our lives in six words. A six word memoir if you will.

I am excited to continue to develop my skills using Adobe apps and gain a better eye for graphic design overall.

[lizseyi]

Amendment To The Slovak Act On Information Technologies In Public Administration

The Ministry of Investments, Regional Development and Informatization of the Slovak Republic has submitted a proposal to amend the Act on Information Technologies in Public Administration. Its aim is to strengthen the management of the state's digital assets, increase cybersecurity resilience, and introduce clear rules for the use of artificial intelligence in public administration.

From the state’s perspective, this is an ambitious reform, but for IT solution suppliers, it introduces numerous negative consequences that fundamentally change the existing contractual practices and business environment. Below is a summary of the key changes and their practical impacts on businesses.

1. Special copyright regime for public sector information technologies

A key change is the introduction of a special regime for exercising proprietary rights under the Copyright Act. Public authorities will automatically and unconditionally acquire full proprietary rights to software and databases developed with public funds.

Unlike Employee Works, suppliers will no longer be able to contractually restrict how the public sector can use such works. The state will be entitled to use the software without additional licensing fees, modify its code, and even authorise other public entities to use it.

While this regime aligns with open-source trends, it opens the door to several problems and ambiguities, particularly regarding:

(i)   practical management of copyrights,

(ii)  rights of third parties whose content is incorporated into the work, and

(iii) the scope of information and database content considered part of the deliverable.

2. New contractual conditions and supplier warning

The amendment mandates that public procurers only accept contractual terms that reflect the new regime. This results in a significant loss of negotiation leverage and contractual flexibility for suppliers. The law explicitly requires IT project contracts to include:

Unlimited rights of the state to the work – The public customer will obtain full proprietary rights to the created software or database, including source code. Suppliers may not impose any restrictions on its use by public authorities.

Exclusive data control – The state will be the sole and exclusive controller of all data collected or generated during the project and its operation. Suppliers will have no rights to use production system data.

Obligation to cooperate during supplier transitions – The original supplier must provide maximum cooperation during a transition to a new supplier, especially by handing over documentation, architecture, and assisting with system migration and integration.

Mandatory integration support – If a new information system is to be integrated with an existing one, the original supplier is obliged to cooperate to the necessary extent (e.g., for data migration or system interconnection).

Warning to suppliers: These changes significantly increase requirements for openness and cooperation and could fundamentally disrupt suppliers’ business models. Suppliers must hand over complete source code and documentation and accept that their outputs may be shared with competitors, even during system maintenance or further development.

This proposed regulation will thus have a substantial negative impact on the contractual freedom between customers and suppliers and limit the range of options available to public buyers, potentially leading to higher costs for IT system management.

3. Other changes

Artificial Intelligence Act and the Data Act – The bill partially implements the EU’s AI Act and Data Act. AI systems must remain under human oversight and must not endanger citizens’ rights and freedoms. The public must be clearly informed when AI is used (e.g., when interacting with a chatbot).

Cybersecurity – Public authorities will be subject to stricter security standards. Suppliers must prepare for increased compliance requirements, including mandatory incident reporting and integration with CSIRT teams.

4. Transitional period

The new rules will not apply retroactively. They will be mandatory only for contracts signed from 2026 onward. Existing contracts remain unchanged, but when extended or updated, it is advisable to align them with the new framework.

While the proposed amendment marks a major step toward a more modern, secure, and efficient digital public administration for the state, IT suppliers should urgently review their business and technical strategies and prepare for new requirements that will become standard in public sector contracts.

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[newspressx]

Global Embedded Field-Programmable Gate Array (FPGA) Market : Key Drivers, Significant Analysis And Future Scope

Global Embedded Field-Programmable Gate Array (FPGA) Market valued at USD X.X Billion in 2024 and is projected to reach USD X.X Billion by 2032, growing at a CAGR of X.X% from 2025 to 2032.   Global Embedded Field-Programmable Gate Array (FPGA) Market: Significant Analysis The global embedded FPGA market is experiencing robust growth due to the increasing demand for adaptable and cost-efficient semiconductor solutions. With the rapid rise of edge computing, AI, IoT, and smart devices, embedded FPGAs are gaining traction across various industries for their ability to provide hardware reconfigurability in real time. The market is expected to witness steady expansion over the next few years, supported by technological advancements and growing adoption in sectors like aerospace, automotive, and industrial automation. Enhanced performance requirements and the need for lower power consumption are pushing the demand further. Forecasts suggest a substantial compound annual growth rate, with North America and Asia Pacific contributing significantly. Overall, the market outlook remains highly optimistic, driven by innovation and integration trends in digital technologies. Get the full PDF sample copy of the report: (Includes full table of contents, list of tables and figures, and graphs) @ https://www.verifiedmarketresearch.com/download-sample/?rid=16406&utm_source=Glob-VMR&utm_medium=261 Global Embedded Field-Programmable Gate Array (FPGA) Market Key Drivers The embedded FPGA market is driven by several dynamic factors, chief among them being the need for customizable hardware solutions in time-sensitive applications. The growing implementation of embedded systems in critical sectors such as telecommunications, defense, and consumer electronics is accelerating demand. Additionally, the evolution of 5G infrastructure and the rise of autonomous systems are key contributors to market momentum. Embedded FPGAs offer high performance, low latency, and flexibility, making them ideal for applications requiring real-time data processing. Moreover, shrinking device footprints and growing demand for compact, energy-efficient solutions are prompting manufacturers to integrate embedded FPGAs into their designs. Support from government initiatives and increased funding in semiconductor R&D are also boosting development and adoption rates. These drivers collectively point to a resilient and rapidly evolving market landscape. Global Embedded Field-Programmable Gate Array (FPGA) Market: Future Scope Looking ahead, the embedded FPGA market is poised for substantial growth as new application domains continue to emerge. The increasing convergence of technologies like machine learning, edge AI, and intelligent automation is expanding the functional scope of embedded FPGAs. These components are becoming essential in industries transitioning to smarter infrastructures and connected ecosystems. With enhanced capabilities for reprogramming and improved power efficiency, embedded FPGAs are likely to see greater penetration in next-generation communication systems, industrial robotics, and adaptive signal processing. The growing trend toward software-defined hardware will also shape the trajectory of this market, making embedded FPGAs a key enabler in future electronic systems. As design cycles shorten and market demands increase, the agility and scalability provided by these programmable solutions will further drive innovation and adoption across global markets. Refractive Optical Element Market Regional Analysis The Asia Pacific region is emerging as a critical hub in the refractive optical element market, largely driven by strong manufacturing bases and technological advancements. Countries in this region are significantly investing in photonics and optical technologies, enabling growth across various applications such as imaging, communication, and laser systems. Demand for precision optics in medical devices, consumer electronics, and automotive sensors is contributing to regional expansion.

The region benefits from a favorable environment for innovation, including robust academic research and industrial collaboration. Additionally, the presence of skilled labor and cost-effective production capabilities has made Asia Pacific a preferred location for optical component development. Urbanization and increasing adoption of advanced electronics in countries such as China, South Korea, and Japan are expected to Download Full PDF Sample Copy of Embedded Field-Programmable Gate Array (FPGA) Market Report @ https://www.verifiedmarketresearch.com/download-sample/?rid=16406&utm_source=Glob-VMR&utm_medium=261 Key Competitors in the Embedded Field-Programmable Gate Array (FPGA) Market These companies are renowned for their broad product offerings, sophisticated technologies, strategic efforts, and robust market presence. Each competitor's primary advantages, market share, current events, and competitive tactics—such as collaborations, mergers, acquisitions, and the introduction of new products—are highlighted in the study.   Intel Xilinx Lattice Semiconductor Microsemi Microchip Technology Achronix Flex Logix Menta Efinix NanoXplore QuickLogic.   Get Discount On The Purchase Of This Report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=16406&utm_source=Glob-VMR&utm_medium=261 Embedded Field-Programmable Gate Array (FPGA) Market Trends Insights Embedded Field-Programmable Gate Array (FPGA) Market Trend Insights offers a thorough examination of the market's current and developing trends, providing insightful data-driven viewpoints to assist companies in making wise decisions. This study explores the major consumer trends, market forces, and technology developments influencing the sector. Embedded Field-Programmable Gate Array (FPGA) Market, By Product • EEPROM• Antifuse• SRAM• Flash• Others Embedded Field-Programmable Gate Array (FPGA) Market, By Applications • Data processing• Consumer electronics• Industrial• Military & aerospace• Automotive• Telecom• Others Embedded Field-Programmable Gate Array (FPGA) By Geography • North America• Europe• Asia Pacific• Latin America• Middle East and Africa For More Information or Query, Visit @ https://www.verifiedmarketresearch.com/product/embedded-field-programmable-gate-array-fpga-market/ Detailed TOC of Embedded Field-Programmable Gate Array (FPGA) Market Research Report, 2026-2032 1. Introduction of the Embedded Field-Programmable Gate Array (FPGA) Market Overview of the Market Scope of Report Assumptions 2. Executive Summary 3. Research Methodology of Verified Market Reports Data Mining Validation Primary Interviews List of Data Sources 4. Embedded Field-Programmable Gate Array (FPGA) Market Outlook Overview Market Dynamics Drivers Restraints Opportunities Porters Five Force Model Value Chain Analysis 5. Embedded Field-Programmable Gate Array (FPGA) Market, By Geography North America Europe Asia Pacific Latin America Rest of the World 6. Embedded Field-Programmable Gate Array (FPGA) Market Competitive Landscape Overview Company Market Ranking Key Development Strategies 7. Company Profiles 8. Appendix About Us: Verified Market Research®Verified Market Research® is a leading Global Research and Consulting firm that has been providing advanced analytical research solutions, custom consulting and in-depth data analysis for 10+ years to individuals and companies alike that are looking for accurate, reliable and up to date research data and technical consulting. We offer insights into strategic and growth analyses, Data necessary to achieve corporate goals and help make critical revenue decisions.Our research studies help our clients make superior data-driven decisions, understand market forecast, capitalize on future opportunities and optimize efficiency by working as their partner to deliver accurate and valuable information. The industries we cover span over a large spectrum including Technology, Chemicals, Manufacturing, Energy, Food and Beverages, Automotive, Robotics, Packaging, Construction, Mining & Gas.

Etc.Having serviced over 5000+ clients, we have provided reliable market research services to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony and Hitachi. We have co-consulted with some of the world's leading consulting firms like McKinsey & Company, Boston Consulting Group, Bain and Company for custom research and consulting projects for businesses worldwide. Contact us:Mr. Edwyne FernandesVerified Market Research®US: +1 (650)-781-4080UK: +44 (753)-715-0008APAC: +61 (488)-85-9400US Toll-Free: +1 (800)-782-1768Email: sales@verifiedmarketresearch.comWebsite:- https://www.verifiedmarketresearch.com/ Global Electric Operating Tables Market

[aisoftwaretesting]

The Human Element in AI-Driven Testing Strategies

In the rapidly evolving landscape of software development, AI-driven testing has emerged as a transformative force, streamlining processes and enhancing efficiency. Tools like Genqe, an advanced AI testing platform, are at the forefront of this revolution, automating repetitive tasks, identifying bugs, and optimizing test coverage with remarkable precision. However, while Genqe’s capabilities are impressive, the human element remains indispensable in ensuring the success of AI-driven testing strategies.

The Power of Genqe in Testing

Genqe leverages machine learning and advanced algorithms to automate complex testing scenarios, enabling teams to achieve faster release cycles and higher-quality software. It excels at analyzing vast datasets, predicting potential failure points, and generating test cases that align with project requirements. By reducing manual effort, Genqe allows testers to focus on strategic tasks, making it a game-changer for development teams aiming to stay competitive.

Yet, for all its strengths, Genqe is not a standalone solution. Its effectiveness hinges on the human expertise that guides its implementation and interprets its outputs.

Why Humans Matter in AI-Driven Testing

1. Defining the Testing Scope

Genqe’s ability to generate test cases is only as good as the parameters set by human testers. Humans define the scope, objectives, and critical areas of focus, ensuring that Genqe’s algorithms target the right aspects of the application. Without human insight into user behavior, business goals, and edge cases, even Genqe’s sophisticated analysis could miss critical defects or prioritize irrelevant scenarios.

2. Contextual Understanding

Software testing isn’t just about finding bugs—it’s about ensuring the product delivers value to users. Genqe can identify technical issues, but humans bring the contextual understanding necessary to evaluate usability, accessibility, and overall user experience. For instance, a feature might pass Genqe’s automated tests but fail to meet user expectations due to poor design—a nuance only humans can fully address.

3. Interpreting Results

Genqe provides detailed reports and insights, but human testers are essential for interpreting these results. They analyze patterns, prioritize fixes, and make judgment calls on whether a flagged issue is a false positive or a critical defect. This interpretive layer ensures that Genqe’s outputs translate into actionable improvements rather than overwhelming teams with raw data.

4. Ethical and Creative Oversight

AI tools like Genqe operate within defined parameters, but ethical considerations and creative problem-solving require human intervention. Humans ensure that testing strategies align with ethical standards, such as protecting user data or avoiding biased outcomes. Additionally, creative testing approaches—like exploratory testing or simulating unconventional user behavior—often fall outside Genqe’s automated capabilities.

Striking the Right Balance

To maximize Genqe’s potential, organizations must strike a balance between automation and human oversight. Here are a few strategies to achieve this:

Collaborative Workflows: Integrate Genqe into workflows where human testers review and refine AI-generated test cases, ensuring alignment with project goals.

Continuous Learning: Use Genqe’s insights to train human testers, fostering a feedback loop where both humans and AI improve over time.

Hybrid Testing Models: Combine Genqe’s automated testing with manual exploratory testing to cover both technical and user-centric aspects of the software.

Conclusion

Genqe represents a leap forward in AI-driven testing, offering unparalleled speed and precision. However, its true value is unlocked when paired with human expertise. By defining objectives, providing context, interpreting results, and ensuring ethical oversight, humans complement Genqe’s capabilities, creating a synergy that drives higher-quality software. In the end, AI-driven testing with Genqe isn’t about replacing humans—it’s about empowering them to deliver better results, faster.

[anandtechverceseo]

Unlocking Growth with the Best Software Development Company in Chennai

In today’s fast-paced digital era, businesses worldwide rely on robust, scalable, and innovative software solutions to stay competitive. If you’re seeking a partner that understands both global best practices and local market dynamics, look no further than the best software development company in Chennai. With a blend of technical expertise, industry experience, and customer-centric focus, a top-tier Software Development Company in Chennai can transform your vision into reality.

Why Chennai Is a Hub for Software Excellence

Chennai, known as the “Detroit of India” for its automobile industry, has also emerged as a powerhouse in technology and software services. The city boasts:

A rich talent pool: Chennai’s leading engineering colleges and IT universities produce thousands of skilled graduates each year.

Cost-effective solutions: Competitive pricing without compromising on quality makes Chennai-based firms highly attractive to both startups and enterprises.

Strong infrastructure: State-of-the-art tech parks, reliable power supply, and robust connectivity ensure seamless project delivery.

Hallmarks of the Best Software Development Company in Chennai

When evaluating a Software Development Company in Chennai, look for these key attributes:

End-to-End Services

Requirement analysis and consulting

UI/UX design and prototyping

Customized development (web, mobile, cloud)

Quality assurance and testing

Ongoing support and maintenance

Domain Expertise Leading firms don’t just code—they understand industries. Whether you’re in healthcare, finance, e-commerce, or manufacturing, they’ll bring domain-specific best practices to your project.

Agile and DevOps Practices Agile methodologies ensure iterative progress and faster time-to-market, while DevOps pipelines enable continuous integration and deployment. The best software development company in Chennai seamlessly integrates these approaches.

Cutting-Edge Technologies From AI/ML and IoT to blockchain and AR/VR, Chennai’s top companies stay abreast of emerging tech. They can advise on the right frameworks—React, Angular, Node.js, .NET, Java, Python, and more—to power your solutions.

Quality and Security Rigorous testing, vulnerability assessments, and adherence to international standards (ISO, OWASP) mean your application is both reliable and secure.

Transparent Communication Clear project roadmaps, regular status updates, and a dedicated point of contact foster trust and ensure alignment with your business goals.

How They Fuel Business Growth

A premier Software Development Company in Chennai does more than deliver code; it acts as a strategic partner:

Accelerating Innovation By leveraging the latest tools and trends, they help you innovate faster—launching new features, refining user experiences, and exploring emerging markets.

Optimizing Costs Economies of scale, efficient resource allocation, and reusable frameworks translate into lower development and maintenance costs over the software lifecycle.

Enhancing Agility Agile project management allows for quick pivots in response to market feedback, ensuring your product remains relevant and competitive.

Driving ROI Data-driven insights, performance monitoring, and continuous improvement cycles boost user engagement and revenue generation.

Selecting Your Ideal Chennai-Based Partner

To choose the best software development company in Chennai:

Review Portfolios and Case Studies Examine past projects similar in scope to yours. Look for measurable outcomes—time savings, revenue growth, or user adoption metrics.

Assess Technical Certifications Confirm their expertise through partner certifications (AWS, Microsoft, Google Cloud) and memberships in professional bodies (NASSCOM, CII).

Request Client References Speaking directly with previous clients provides unfiltered feedback on delivery quality, communication, and post-launch support.

Pilot Engagements Consider a small proof-of-concept or pilot project to gauge technical compatibility and working style before committing to long-term contracts.

Conclusion

Partnering with the best software development company in Chennai means tapping into a vibrant ecosystem of technical talent, cost efficiencies, and innovative thinking. Whether you aim to build a custom enterprise application, launch a disruptive startup platform, or modernize legacy systems, Chennai’s top software development firms deliver end-to-end solutions that drive growth and competitive advantage. Take the first step today: evaluate aspirations, align on goals, and embark on a collaboration that brings your digital vision to life.

[johnnysantiagovaldezcalderon]

Johnny Santiago Valdez Calderon on Building the Future with AI Software

What does it truly mean to build the future with AI? For Johnny Santiago Valdez Calderon, an AI software developer based in Sanford, North Carolina, the answer lies in asking the right questions, not just writing code. At a time when artificial intelligence is reshaping industries from healthcare to finance, Calderon isn’t focused on hype—he’s focused on solving problems with clarity and purpose.

How does AI move from concept to real-world utility?

Johnny Santiago Valdez Calderon believes the transformation begins with identifying tangible pain points. Whether it’s inefficient logistics in e-commerce or slow diagnostic tools in medical imaging, his approach begins with asking: What are we really trying to fix? Calderon’s projects are driven by a desire to create systems that don’t just function but adapt, learn, and evolve with real-world data. To him, AI isn’t magic. It’s architecture. And like any structure, it needs a foundation built on insight.

What makes a strong AI system reliable and ethical?

Ethics in AI isn’t just a trending topic—it’s an operational requirement, according to Calderon. He is a vocal advocate for designing transparent and explainable models. He questions: Can we explain why a model made a decision? And if not, should we trust it? These queries push his development process beyond the usual scope of accuracy metrics. Fairness, accountability, and reproducibility are principles that guide his architecture choices. For Calderon, if AI is going to shape the future, it has to do so responsibly.

How do you balance innovation with usability?

One of the biggest challenges Calderon highlights is the disconnect between developers and end users. Are we designing for engineers, or for the people who actually use the tools? It’s a question he frequently raises in collaborative sessions. Whether working on a predictive maintenance system for industrial machinery or developing a chatbot for healthcare scheduling, Calderon’s methodology includes deep user testing and feedback loops. He sees the user interface not as an afterthought but as the real test of innovation.

What’s the role of continuous learning in AI development?

In Calderon’s view, a model that doesn’t adapt is a model that fades. AI systems must evolve—not just technically, but contextually. Is your model still valid six months after deployment? he asks. This focus on lifecycle management has led him to integrate active learning pipelines and real-time feedback systems into many of his solutions. AI, to him, should never be static—it should be as dynamic as the world it aims to interpret.

Why should we care about who builds the AI we use?

It’s a question Johnny Santiago Valdez Calderon doesn’t shy away from. Behind every intelligent algorithm is a set of assumptions, values, and decisions. Who’s asking the questions that shape those systems? His commitment to mentoring junior developers and fostering diversity in AI development isn’t about optics—it’s about outcomes. A diverse team builds more inclusive, and ultimately more effective, systems.

In a field dominated by buzzwords and billion-dollar valuations, Johnny Santiago Valdez Calderon brings something increasingly rare—clarity. He isn’t chasing the next trend in generative models or jumping on every open-source release. Instead, he’s quietly asking tough questions, refining his code, listening to users, and building systems that don’t just perform, but improve lives.

[gvtacademy]

Automate Your Future: Why GVT Academy Offers the Best UiPath Course in Noida

As digital transformation accelerates, automation is now a key driver of efficiency and growth. Businesses are constantly looking for smarter, faster, and more efficient ways to operate. That’s where Robotic Process Automation (RPA) steps in, and UiPath is leading the way. Step into the world of automation with the Best UiPath Course in Noida by GVT Academy—built to equip tomorrow’s professionals today.

What is RPA and Why UiPath?

Robotic Process Automation (RPA) involves the use of software bots to handle repetitive and rule-driven tasks automatically. Think of data entry, invoice processing, or employee onboarding—tasks that consume valuable hours. With RPA, these processes become faster, error-free, and cost-effective.

UiPath is the most in-demand RPA tool globally. Its drag-and-drop interface, AI integration, and strong community support make it perfect for both beginners and pros. It’s no wonder that top companies like Deloitte, Accenture, and Capgemini are actively hiring UiPath-certified professionals.

Why GVT Academy?

GVT Academy goes beyond teaching software—we shape skilled automation professionals. Our UiPath course is designed with real-world applications, live projects, and career-focused mentorship.

Here’s why learners call it the Best UiPath Course in Noida:

✅ Industry-Aligned Curriculum

Introduction to RPA & UiPath Platform

Variables, Data Types & Control Flow

Recording & Citrix Automation

Orchestrator & REFramework

Real-time Projects & Use Cases

Integration with Excel, Outlook, SAP, and Web

✅ Hands-On Learning with Projects

Students at GVT Academy build bots for real scenarios like invoice generation, payroll automation, and customer onboarding. By the end, you’ll have a strong portfolio to impress recruiters.

✅ Expert Trainers

Get trained by experts with over 8 years of hands-on experience in the RPA field. Our trainers are UiPath Certified and bring live case studies to the classroom.

✅ Placement Assistance

We provide resume building, mock interviews, and 100% job placement support. Our students are now working in TCS, Wipro, Infosys, and top automation firms.

Career Scope After Learning UiPath

The demand for RPA professionals is booming. According to industry reports:

The average salary of an RPA Developer in India is ₹6–12 LPA.

There are 30,000+ RPA jobs currently listed on Naukri, LinkedIn, and Monster.

UiPath is used in banking, healthcare, telecom, retail, and logistics industries.

With this surge, enrolling in the Best UiPath Course in Noida at GVT Academy could be the smartest decision you make for your career.

Tools and Skills You’ll Master

Besides UiPath Studio and Orchestrator, you’ll get hands-on with:

Excel Automation

Email Automation

Database Handling

AI & Document Understanding

Workflow Debugging

Log Analysis & Deployment

These skills are exactly what top recruiters look for when hiring RPA talent.

Final Words

The future of automation is here, and it’s powered by UiPath. With companies across the globe embracing RPA, now is the perfect time to upskill and future-proof your career.

Whether you’re starting out or switching domains, GVT Academy’s UiPath Course is the Best UiPath Course in Noida—designed to give you the skills, confidence, and job opportunities you deserve.

Ready to automate your future? Join GVT Academy today and become a certified RPA professional with UiPath.

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[intelmarketresearch]

Software Testing Market Growth Analysis, Market Dynamics, Key Players and Innovations, Outlook and Forecast 2025-2032

  According to a new market analysis, the global Software Testing market was valued at USD 103.68 billion in 2024 and is projected to reach USD 243.78 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 14.0% during the forecast period (2025–2032). The growth is driven by rising demand for high-quality software, digital transformation across industries, and adoption of agile/DevOps methodologies.

What is Software Testing?

Software testing is a critical quality assurance process involving verification and validation of applications through manual or automated methods. It ensures products meet specified requirements while identifying defects before deployment. The testing landscape encompasses methodologies including functional testing, performance testing, security testing, and compatibility testing, becoming increasingly vital with rising cyber threats and complex software ecosystems.

Key Market Drivers

1. Acceleration of Digital Transformation

The rapid shift to digital platforms across banking, healthcare, and retail has increased testing demands by over 60% since 2020. Major banks like HSBC increased test automation investments by 60% in 2023 to support cloud migrations. Telecom providers such as Verizon adopted AI-based testing frameworks, reducing time-to-market by 30% for 5G applications. This reflects an industry trend where testing is embedded throughout development pipelines, especially in regulated sectors where compliance and uptime are critical.

2. Mobile Application Explosion

With 255 billion mobile app downloads annually, specialized testing for functionality, UI/UX, and cross-device compatibility has become essential. Flipkart reported a 45% reduction in production bugs after implementing continuous mobile testing. The emergence of progressive web apps (PWAs) and 5G applications further drives demand for advanced network simulation and edge computing tests.

Market Challenges

The high cost of AI-driven testing tools and global skills shortages in advanced methodologies remain key restraints. Effective utilization requires professionals skilled in both testing and machine learning - a rare combination facing a 40% talent gap. Integration challenges with existing ecosystems further slow adoption, despite clear long-term benefits in test automation.

Opportunities Ahead

Asia-Pacific presents the fastest growth (18.7% CAGR) with mobile app testing demand in China and outsourcing growth in India. The rise of Testing-as-a-Service models offers on-demand infrastructure access, while AI applications enable predictive test case generation and self-healing scripts. IoT expansion also creates new testing markets for connected device validation.

Regional Market Insights

North America leads with 35% market share, driven by stringent compliance requirements (HIPAA, PCI-DSS) and $18B+ automation investments.

Europe shows strong security testing demand post-GDPR, with Germany/UK accounting for 60% of regional spending.

Asia-Pacific growth is fueled by digital transformation initiatives valued at $178B, particularly in China's mobile app ecosystem.

Competitive Landscape

Accenture and TCS dominate with 20% combined market share, serving enterprise clients across BFSI and healthcare.

IBM and Capgemini lead in AI-powered solutions, while specialists like Tricentis focus on DevOps testing.

Market Segmentation

By Testing Type:

Functional Testing

Non-Functional Testing

By Deployment Mode:

On-Premise

Cloud

By Application:

Mobile Applications

Web Applications

By Region:

North America, Europe, Asia-Pacific, Latin America, Middle East & Africa

Report Scope & Offerings

This comprehensive analysis includes:

2024-2032 market forecasts with 14.0% CAGR projections

Competitive intelligence on 14+ key players

SWOT and trend analysis across testing types and regions

Access Full Report: https://www.intelmarketresearch.com/Software-Testing-Market-Report

Download Sample: Software Testing Market Sample Report

About Intel Market Research

Intel Market Research delivers actionable insights in technology and infrastructure markets. Our data-driven analysis leverages:

Real-time infrastructure monitoring

Techno-economic feasibility studies

Competitive intelligence across 100+ countries Trusted by Fortune 500 firms, we empower strategic decisions with precision.

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