#artificial intelligence and its application in businesses

[mostlysignssomeportents]

Conspiratorialism as a material phenomenon

I'll be in TUCSON, AZ from November 8-10: I'm the GUEST OF HONOR at the TUSCON SCIENCE FICTION CONVENTION.

I think it behooves us to be a little skeptical of stories about AI driving people to believe wrong things and commit ugly actions. Not that I like the AI slop that is filling up our social media, but when we look at the ways that AI is harming us, slop is pretty low on the list.

The real AI harms come from the actual things that AI companies sell AI to do. There's the AI gun-detector gadgets that the credulous Mayor Eric Adams put in NYC subways, which led to 2,749 invasive searches and turned up zero guns:

https://www.cbsnews.com/newyork/news/nycs-subway-weapons-detector-pilot-program-ends/

Any time AI is used to predict crime – predictive policing, bail determinations, Child Protective Services red flags – they magnify the biases already present in these systems, and, even worse, they give this bias the veneer of scientific neutrality. This process is called "empiricism-washing," and you know you're experiencing it when you hear some variation on "it's just math, math can't be racist":

https://pluralistic.net/2020/06/23/cryptocidal-maniacs/#phrenology

When AI is used to replace customer service representatives, it systematically defrauds customers, while providing an "accountability sink" that allows the company to disclaim responsibility for the thefts:

https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs

When AI is used to perform high-velocity "decision support" that is supposed to inform a "human in the loop," it quickly overwhelms its human overseer, who takes on the role of "moral crumple zone," pressing the "OK" button as fast as they can. This is bad enough when the sacrificial victim is a human overseeing, say, proctoring software that accuses remote students of cheating on their tests:

https://pluralistic.net/2022/02/16/unauthorized-paper/#cheating-anticheat

But it's potentially lethal when the AI is a transcription engine that doctors have to use to feed notes to a data-hungry electronic health record system that is optimized to commit health insurance fraud by seeking out pretenses to "upcode" a patient's treatment. Those AIs are prone to inventing things the doctor never said, inserting them into the record that the doctor is supposed to review, but remember, the only reason the AI is there at all is that the doctor is being asked to do so much paperwork that they don't have time to treat their patients:

https://apnews.com/article/ai-artificial-intelligence-health-business-90020cdf5fa16c79ca2e5b6c4c9bbb14

My point is that "worrying about AI" is a zero-sum game. When we train our fire on the stuff that isn't important to the AI stock swindlers' business-plans (like creating AI slop), we should remember that the AI companies could halt all of that activity and not lose a dime in revenue. By contrast, when we focus on AI applications that do the most direct harm – policing, health, security, customer service – we also focus on the AI applications that make the most money and drive the most investment.

AI hasn't attracted hundreds of billions in investment capital because investors love AI slop. All the money pouring into the system – from investors, from customers, from easily gulled big-city mayors – is chasing things that AI is objectively very bad at and those things also cause much more harm than AI slop. If you want to be a good AI critic, you should devote the majority of your focus to these applications. Sure, they're not as visually arresting, but discrediting them is financially arresting, and that's what really matters.

All that said: AI slop is real, there is a lot of it, and just because it doesn't warrant priority over the stuff AI companies actually sell, it still has cultural significance and is worth considering.

AI slop has turned Facebook into an anaerobic lagoon of botshit, just the laziest, grossest engagement bait, much of it the product of rise-and-grind spammers who avidly consume get rich quick "courses" and then churn out a torrent of "shrimp Jesus" and fake chainsaw sculptures:

https://www.404media.co/email/1cdf7620-2e2f-4450-9cd9-e041f4f0c27f/

For poor engagement farmers in the global south chasing the fractional pennies that Facebook shells out for successful clickbait, the actual content of the slop is beside the point. These spammers aren't necessarily tuned into the psyche of the wealthy-world Facebook users who represent Meta's top monetization subjects. They're just trying everything and doubling down on anything that moves the needle, A/B splitting their way into weird, hyper-optimized, grotesque crap:

https://www.404media.co/facebook-is-being-overrun-with-stolen-ai-generated-images-that-people-think-are-real/

In other words, Facebook's AI spammers are laying out a banquet of arbitrary possibilities, like the letters on a Ouija board, and the Facebook users' clicks and engagement are a collective ideomotor response, moving the algorithm's planchette to the options that tug hardest at our collective delights (or, more often, disgusts).

So, rather than thinking of AI spammers as creating the ideological and aesthetic trends that drive millions of confused Facebook users into condemning, praising, and arguing about surreal botshit, it's more true to say that spammers are discovering these trends within their subjects' collective yearnings and terrors, and then refining them by exploring endlessly ramified variations in search of unsuspected niches.

(If you know anything about AI, this may remind you of something: a Generative Adversarial Network, in which one bot creates variations on a theme, and another bot ranks how closely the variations approach some ideal. In this case, the spammers are the generators and the Facebook users they evince reactions from are the discriminators)

https://en.wikipedia.org/wiki/Generative_adversarial_network

I got to thinking about this today while reading User Mag, Taylor Lorenz's superb newsletter, and her reporting on a new AI slop trend, "My neighbor’s ridiculous reason for egging my car":

https://www.usermag.co/p/my-neighbors-ridiculous-reason-for

The "egging my car" slop consists of endless variations on a story in which the poster (generally a figure of sympathy, canonically a single mother of newborn twins) complains that her awful neighbor threw dozens of eggs at her car to punish her for parking in a way that blocked his elaborate Hallowe'en display. The text is accompanied by an AI-generated image showing a modest family car that has been absolutely plastered with broken eggs, dozens upon dozens of them.

According to Lorenz, variations on this slop are topping very large Facebook discussion forums totalling millions of users, like "Movie Character…,USA Story, Volleyball Women, Top Trends, Love Style, and God Bless." These posts link to SEO sites laden with programmatic advertising.

The funnel goes:

i. Create outrage and hence broad reach;

ii, A small percentage of those who see the post will click through to the SEO site;

iii. A small fraction of those users will click a low-quality ad;

iv. The ad will pay homeopathic sub-pennies to the spammer.

The revenue per user on this kind of scam is next to nothing, so it only works if it can get very broad reach, which is why the spam is so designed for engagement maximization. The more discussion a post generates, the more users Facebook recommends it to.

These are very effective engagement bait. Almost all AI slop gets some free engagement in the form of arguments between users who don't know they're commenting an AI scam and people hectoring them for falling for the scam. This is like the free square in the middle of a bingo card.

Beyond that, there's multivalent outrage: some users are furious about food wastage; others about the poor, victimized "mother" (some users are furious about both). Not only do users get to voice their fury at both of these imaginary sins, they can also argue with one another about whether, say, food wastage even matters when compared to the petty-minded aggression of the "perpetrator." These discussions also offer lots of opportunity for violent fantasies about the bad guy getting a comeuppance, offers to travel to the imaginary AI-generated suburb to dole out a beating, etc. All in all, the spammers behind this tedious fiction have really figured out how to rope in all kinds of users' attention.

Of course, the spammers don't get much from this. There isn't such a thing as an "attention economy." You can't use attention as a unit of account, a medium of exchange or a store of value. Attention – like everything else that you can't build an economy upon, such as cryptocurrency – must be converted to money before it has economic significance. Hence that tooth-achingly trite high-tech neologism, "monetization."

The monetization of attention is very poor, but AI is heavily subsidized or even free (for now), so the largest venture capital and private equity funds in the world are spending billions in public pension money and rich peoples' savings into CO2 plumes, GPUs, and botshit so that a bunch of hustle-culture weirdos in the Pacific Rim can make a few dollars by tricking people into clicking through engagement bait slop – twice.

The slop isn't the point of this, but the slop does have the useful function of making the collective ideomotor response visible and thus providing a peek into our hopes and fears. What does the "egging my car" slop say about the things that we're thinking about?

Lorenz cites Jamie Cohen, a media scholar at CUNY Queens, who points out that subtext of this slop is "fear and distrust in people about their neighbors." Cohen predicts that "the next trend, is going to be stranger and more violent.”

This feels right to me. The corollary of mistrusting your neighbors, of course, is trusting only yourself and your family. Or, as Margaret Thatcher liked to say, "There is no such thing as society. There are individual men and women and there are families."

We are living in the tail end of a 40 year experiment in structuring our world as though "there is no such thing as society." We've gutted our welfare net, shut down or privatized public services, all but abolished solidaristic institutions like unions.

This isn't mere aesthetics: an atomized society is far more hospitable to extreme wealth inequality than one in which we are all in it together. When your power comes from being a "wise consumer" who "votes with your wallet," then all you can do about the climate emergency is buy a different kind of car – you can't build the public transit system that will make cars obsolete.

When you "vote with your wallet" all you can do about animal cruelty and habitat loss is eat less meat. When you "vote with your wallet" all you can do about high drug prices is "shop around for a bargain." When you vote with your wallet, all you can do when your bank forecloses on your home is "choose your next lender more carefully."

Most importantly, when you vote with your wallet, you cast a ballot in an election that the people with the thickest wallets always win. No wonder those people have spent so long teaching us that we can't trust our neighbors, that there is no such thing as society, that we can't have nice things. That there is no alternative.

The commercial surveillance industry really wants you to believe that they're good at convincing people of things, because that's a good way to sell advertising. But claims of mind-control are pretty goddamned improbable – everyone who ever claimed to have managed the trick was lying, from Rasputin to MK-ULTRA:

https://pluralistic.net/HowToDestroySurveillanceCapitalism

Rather than seeing these platforms as convincing people of things, we should understand them as discovering and reinforcing the ideology that people have been driven to by material conditions. Platforms like Facebook show us to one another, let us form groups that can imperfectly fill in for the solidarity we're desperate for after 40 years of "no such thing as society."

The most interesting thing about "egging my car" slop is that it reveals that so many of us are convinced of two contradictory things: first, that everyone else is a monster who will turn on you for the pettiest of reasons; and second, that we're all the kind of people who would stick up for the victims of those monsters.

Tor Books as just published two new, free LITTLE BROTHER stories: VIGILANT, about creepy surveillance in distance education; and SPILL, about oil pipelines and indigenous landback.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/10/29/hobbesian-slop/#cui-bono

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[mariacallous]

The European Union today agreed on the details of the AI Act, a far-reaching set of rules for the people building and using artificial intelligence. It’s a milestone law that, lawmakers hope, will create a blueprint for the rest of the world.

After months of debate about how to regulate companies like OpenAI, lawmakers from the EU’s three branches of government—the Parliament, Council, and Commission—spent more than 36 hours in total thrashing out the new legislation between Wednesday afternoon and Friday evening. Lawmakers were under pressure to strike a deal before the EU parliament election campaign starts in the new year.

“The EU AI Act is a global first,” said European Commission president Ursula von der Leyen on X. “[It is] a unique legal framework for the development of AI you can trust. And for the safety and fundamental rights of people and businesses.”

The law itself is not a world-first; China’s new rules for generative AI went into effect in August. But the EU AI Act is the most sweeping rulebook of its kind for the technology. It includes bans on biometric systems that identify people using sensitive characteristics such as sexual orientation and race, and the indiscriminate scraping of faces from the internet. Lawmakers also agreed that law enforcement should be able to use biometric identification systems in public spaces for certain crimes.

New transparency requirements for all general purpose AI models, like OpenAI's GPT-4, which powers ChatGPT, and stronger rules for “very powerful” models were also included. “The AI Act sets rules for large, powerful AI models, ensuring they do not present systemic risks to the Union,” says Dragos Tudorache, member of the European Parliament and one of two co-rapporteurs leading the negotiations.

Companies that don’t comply with the rules can be fined up to 7 percent of their global turnover. The bans on prohibited AI will take effect in six months, the transparency requirements in 12 months, and the full set of rules in around two years.

Measures designed to make it easier to protect copyright holders from generative AI and require general purpose AI systems to be more transparent about their energy use were also included.

“Europe has positioned itself as a pioneer, understanding the importance of its role as a global standard setter,” said European Commissioner Thierry Breton in a press conference on Friday night.

Over the two years lawmakers have been negotiating the rules agreed today, AI technology and the leading concerns about it have dramatically changed. When the AI Act was conceived in April 2021, policymakers were worried about opaque algorithms deciding who would get a job, be granted refugee status or receive social benefits. By 2022, there were examples that AI was actively harming people. In a Dutch scandal, decisions made by algorithms were linked to families being forcibly separated from their children, while students studying remotely alleged that AI systems discriminated against them based on the color of their skin.

Then, in November 2022, OpenAI released ChatGPT, dramatically shifting the debate. The leap in AI’s flexibility and popularity triggered alarm in some AI experts, who drew hyperbolic comparisons between AI and nuclear weapons.

That discussion manifested in the AI Act negotiations in Brussels in the form of a debate about whether makers of so-called foundation models such as the one behind ChatGPT, like OpenAI and Google, should be considered as the root of potential problems and regulated accordingly—or whether new rules should instead focus on companies using those foundational models to build new AI-powered applications, such as chatbots or image generators.

Representatives of Europe’s generative AI industry expressed caution about regulating foundation models, saying it could hamper innovation among the bloc’s AI startups. “We cannot regulate an engine devoid of usage,” Arthur Mensch, CEO of French AI company Mistral, said last month. “We don’t regulate the C [programming] language because one can use it to develop malware. Instead, we ban malware.” Mistral’s foundation model 7B would be exempt under the rules agreed today because the company is still in the research and development phase, Carme Artigas, Spain's Secretary of State for Digitalization and Artificial Intelligence, said in the press conference.

The major point of disagreement during the final discussions that ran late into the night twice this week was whether law enforcement should be allowed to use facial recognition or other types of biometrics to identify people either in real time or retrospectively. “Both destroy anonymity in public spaces,” says Daniel Leufer, a senior policy analyst at digital rights group Access Now. Real-time biometric identification can identify a person standing in a train station right now using live security camera feeds, he explains, while “post” or retrospective biometric identification can figure out that the same person also visited the train station, a bank, and a supermarket yesterday, using previously banked images or video.

Leufer said he was disappointed by the “loopholes” for law enforcement that appeared to have been built into the version of the act finalized today.

European regulators’ slow response to the emergence of social media era loomed over discussions. Almost 20 years elapsed between Facebook's launch and the passage of the Digital Services Act—the EU rulebook designed to protect human rights online—taking effect this year. In that time, the bloc was forced to deal with the problems created by US platforms, while being unable to foster their smaller European challengers. “Maybe we could have prevented [the problems] better by earlier regulation,” Brando Benifei, one of two lead negotiators for the European Parliament, told WIRED in July. AI technology is moving fast. But it will still be many years until it’s possible to say whether the AI Act is more successful in containing the downsides of Silicon Valley’s latest export.

[iww-gnv]

The New York Film and Television Union Coalition is praising a pair of identical bills pending in New York State that would “prohibit applicants to the Empire State film production credit from using artificial intelligence that would displace any natural person in their productions.” The coalition is made up of SAG-AGTRA, the WGA East, the Directors Guild of America, the Cinematographers Guild (IATSE Local 600), the Editors Guild (IATSE Local 700), United Scenic Artists (IATSE Local 829), IATSE Local 52, and Teamsters Local 817. The use of artificial intelligence in the production of film and TV shows is a key strike issue for both the Writers Guild and SAG-AFTRA, which have been on strike since May 2 and July 14, respectively. The DGA’s new contract, which was ratified in June, contains guardrails on its use, and IATSE, which will begin contract negotiations next year, has said that artificial intelligence “threatens to fundamentally alter employers’ business models and disrupt IATSE members’ livelihoods.” 

[Read the rest]

[beardedmrbean]

Google's parent company lifting a longstanding ban on artificial intelligence (AI) being used for developing weapons and surveillance tools is "incredibly concerning", a leading human rights group has said.

Alphabet has rewritten its guidelines on how it will use AI, dropping a section which previously ruled out applications that were "likely to cause harm".

Human Rights Watch has criticised the decision, telling the BBC that AI can "complicate accountability" for battlefield decisions that "may have life or death consequences."

In a blog post Google defended the change, arguing that businesses and democratic governments needed to work together on AI that "supports national security".

Experts say AI could be widely deployed on the battlefield - though there are fears about its use too, particularly with regard to autonomous weapons systems.

"For a global industry leader to abandon red lines it set for itself signals a concerning shift, at a time when we need responsible leadership in AI more than ever," said Anna Bacciarelli, senior AI researcher at Human Rights Watch.

The "unilateral" decision showed also showed "why voluntary principles are not an adequate substitute for regulation and binding law" she added.

In its blog, Alphabet, said democracies should lead in AI development, guided by what it called "core values" like freedom, equality and respect for human rights.

"And we believe that companies, governments and organisations sharing these values should work together to create AI that protects people, promotes global growth and supports national security," it added

The blog - written by senior vice president James Manyika and Sir Demis Hassabis, who leads the AI lab Google DeepMind - said the company's original AI principles published in 2018 needed to be updated as the technology had evolved.

'Killing on a vast scale'

Awareness of the military potential of AI has grown in recent years.

In January, MP's argued that the conflict in Ukraine had shown the technology "offers serious military advantage on the battlefield"

As AI becomes more widespread and sophisticated it would "change the way defence works, from the back office to the frontline," Emma Lewell-Buck MP, who chaired a recent commons report into the UK military's use of AI, wrote.

But as well as debate among AI experts and professionals over how the powerful new technology should be governed in broad terms, there is also controversy around the use of AI on the battlefield and in surveillance technologies.

Concern is greatest over the potential for AI-powered weapons capable of taking lethal action autonomously, with campaigners arguing controls are urgently needed.

The Doomsday Clock - which symbolises how near humanity is to destruction - cited that concern in its latest assessment of the dangers mankind faces.

"Systems that incorporate artificial intelligence in military targeting have been used in Ukraine and the Middle East, and several countries are moving to integrate artificial intelligence into their militaries", it said.

"Such efforts raise questions about the extent to which machines will be allowed to make military decisions—even decisions that could kill on a vast scale", it added.

'Don't be evil'

Originally, long before the current surge of interest in the ethics of AI, Google's founders, Sergei Brin and Larry Page, said their motto for the firm was "don't be evil".

When the company was restructured under the name Alphabet Inc in 2015 the parent company switched to "Do the right thing".

Since then Google staff have sometimes pushed back against the approach taken by their executives.

In 2018, the firm did not renew a contract for AI work with the US Pentagon following resignations and a petition signed by thousands of employees.

They feared "Project Maven" was the first step towards using artificial intelligence for lethal purposes.

The blog was published just ahead of Alphabet's end of year financial report, showing results that were weaker than market expectations, and knocking back its share price.

That was despite a 10% rise in revenue from digital advertising, its biggest earner, boosted by US election spending.

In its earnings report the company said it would spend $75bn ($60bn) on AI projects this year, 29% more than Wall Street analysts had expected.

The company is investing in the infrastructure to run AI, AI research, and applications such as AI-powered search.

[jollystrangernymph]

From Chips to Clouds: Exploring Intel's Role in the Next Generation of Computing

Introduction

The world of computing is evolving at breakneck speed, and at the forefront of this technological revolution is Intel Corp. Renowned for its groundbreaking innovations in microprocessors, Intel's influence extends far beyond silicon chips; it reaches into the realms of artificial intelligence, cloud computing, and beyond. This article dives deep into Intel's role in shaping the next generation of computing, exploring everything from its historical contributions to its futuristic visions.

From Chips to Clouds: Exploring Intel's Role in the Next Generation of Computing

Intel has long been synonymous with computing power. Founded in 1968, it pioneered the microprocessor revolution that transformed personal computing. Today, as we transition from conventional machines to cloud-based systems powered by artificial intelligence and machine learning, Intel remains a critical player.

The Evolution of Intel’s Microprocessors A Brief History

Intel's journey began with the introduction of the first commercially available microprocessor, the 4004, in 1971. Over decades, it has relentlessly innovated:

1970s: Introduction of the 8086 architecture. 1980s: The rise of x86 compatibility. 1990s: Pentium processors that made personal computers widely accessible.

Each evolution marked a leap forward not just for Intel but for global computing capabilities.

Current Microprocessor Technologies

Today’s microprocessors are marvels of engineering. Intel’s current lineup features:

Core i3/i5/i7/i9: Catering to everything from basic tasks to high-end gaming. Xeon Processors: Designed for servers and high-performance computing. Atom Processors: Targeting mobile devices and embedded applications.

These technologies are designed with advanced architectures like Ice Lake and Tiger Lake that enhance performance while optimizing power consumption.

Click for more info Intel’s Influence on Cloud Computing The Shift to Cloud-Based Solutions

In recent years, businesses have increasingly embraced cloud computing due to its scalability, flexibility, and cost-effectiveness. Intel has played a crucial role in this transition by designing processors optimized for data centers.

Intel’s Data Center Solutions

Intel provides various solutions tailored for cloud service providers:

Intel Xeon Scalable Processors: Designed specifically for workloads in data centers. Intel Optane Technology: Enhancing memory performance and storage capabilities.

These innovations help companies manage vast amounts of data efficiently.

Artificial Intelligence: A New Frontier AI Integration in Everyday Applications

Artificial Intelligence (AI) is becoming integral to modern computing. From smart assistants to advanced analytics tools, AI relies heavily on processing power—something that Intel excels at providing.

Intel’s AI Initiatives

Through initiat

[ominousrequiemdrifter]

Text to Video: The Future of Content Creation

The digital landscape is evolving rapidly, and Text to Video technology is at the forefront of this transformation. This innovative tool allows users to convert written content into engaging video formats effortlessly. Whether for marketing, education, or entertainment, Text to Video is revolutionizing how we consume and create media.

In this article, we will explore the capabilities of Text to Video, its applications, benefits, and how it is shaping the future of digital content.

What is Text to Video?

Text to Video refers to artificial intelligence (AI)-powered platforms that automatically generate videos from written text. These tools analyze the input text, select relevant visuals, add voiceovers, and synchronize everything into a cohesive video.

How Does Text to Video Work?

Text Analysis – The AI processes the written content to understand context, tone, and key points.

Media Selection – It picks suitable images, video clips, and animations based on the text.

Voice Synthesis – A natural-sounding AI voice reads the text aloud.

Video Assembly – The system combines all elements to produce a polished video.

Popular Text to Video platforms include Synthesia, Lumen5, and Pictory, each offering unique features for different needs.

Applications of Text to Video

The versatility of Text to Video makes it useful across multiple industries.

1. Marketing & Advertising

Businesses use Text to Video to create promotional content, explainer videos, and social media ads without expensive production costs.

2. Education & E-Learning

Educators convert textbooks and articles into engaging video lessons, enhancing student comprehension.

3. News & Journalism

Media outlets quickly turn written news into video summaries, catering to audiences who prefer visual content.

4. Corporate Training

Companies generate training videos from manuals, ensuring consistent onboarding for employees.

5. Social Media Content

Influencers and brands leverage Text to Video to produce daily content for platforms like YouTube, Instagram, and TikTok.

Benefits of Using Text to Video

1. Saves Time & Resources

Traditional video production requires scripting, filming, and editing. Text to Video automates this process, reducing production time from days to minutes.

2. Cost-Effective Solution

Hiring videographers, voice actors, and editors is expensive. AI-driven Text to Video eliminates these costs.

3. Enhances Engagement

Videos capture attention better than plain text. Studies show that viewers retain 95% of a message from video compared to 10% from text.

4. Scalability

Businesses can generate hundreds of videos in different languages without additional effort.

5. Accessibility

Adding subtitles and voiceovers makes content accessible to people with hearing or visual impairments.

Challenges & Limitations of Text to Video

Despite its advantages, Text to Video has some limitations:

1. Lack of Human Touch

AI-generated voices and visuals may lack emotional depth compared to human creators.

2. Limited Creativity

While AI can assemble videos, it may not match the creativity of professional video editors.

3. Dependency on Input Quality

Poorly written text can result in incoherent or low-quality videos.

4. Ethical Concerns

Deepfake risks and misinformation are growing concerns as AI-generated videos become more realistic.

The Future of Text to Video

As AI advances, Text to Video will become more sophisticated. Future developments may include:

Hyper-Realistic AI Avatars – Digital presenters indistinguishable from humans.

Interactive Videos – Viewers influencing video outcomes in real-time.

3D & VR Integration – Immersive video experiences generated from text.

With these advancements, Text to Video will further dominate digital content creation.

[nextgenaiblog]

Artificial Intelligence: Revolutionizing the Future

Artificial Intelligence (AI) is no longer just a concept from science fiction movies. It has become an integral part of our daily lives, shaping the way we work, communicate, and solve problems. From self-driving cars to virtual assistants like Siri and Alexa, AI is transforming industries and improving efficiency like never before.

What is Artificial Intelligence?

Artificial Intelligence refers to the ability of machines to mimic human intelligence. It involves learning, reasoning, problem-solving, and understanding natural language. AI systems are designed to perform tasks that usually require human intelligence, such as:

Recognizing speech and images.

Making decisions.

Translating languages.

Automating repetitive tasks.

Applications of AI in Everyday Life

AI has a wide range of applications across industries:

Healthcare: AI-powered systems assist in diagnosing diseases, analyzing medical data, and even performing robotic surgeries.

Education: Personalized learning platforms use AI to adapt to the pace and style of individual students.

Business: AI streamlines operations through chatbots, predictive analytics, and customer relationship management tools.

Transportation: Autonomous vehicles and traffic management systems rely heavily on AI.

The Role of AI in the Future

As AI continues to evolve, it is expected to:

Enhance productivity by automating complex tasks.

Create more accurate predictive models for climate change and resource management.

Improve personalization in services like e-commerce, entertainment, and healthcare.

Assist in the development of smarter cities.

Challenges and Ethical Concerns

While AI has numerous benefits, it also poses challenges:

Job Displacement: Automation could replace certain jobs, affecting employment.

Privacy Issues: Data collection by AI systems raises concerns about privacy and security.

Ethical Dilemmas: AI decision-making in areas like law enforcement and healthcare requires strict guidelines to avoid biases.

Conclusion

Artificial Intelligence is undeniably shaping our future in profound ways. While it brings opportunities for innovation, it also calls for responsibility and ethical use. Embracing AI with a focus on inclusivity and transparency will ensure its benefits are shared by all.

📢 Explore More on AI and Technology! Visit our website for in-depth articles and insights: NextGen AI

#ArtificialIntelligence #AI #Technology #Innovation #Future

[slydesolationcurator]

From Chips to Clouds: Exploring Intel's Role in the Next Generation of Computing

Introduction

The world of computing is evolving at breakneck speed, and at the forefront of this technological revolution is Intel Corp. Renowned for its groundbreaking innovations in microprocessors, Intel's influence extends far beyond silicon chips; it reaches into the realms of artificial intelligence, cloud computing, and beyond. This article dives Get more information deep into Intel's role in shaping the next generation of computing, exploring everything from its historical contributions to its futuristic visions.

From Chips to Clouds: Exploring Intel's Role in the Next Generation of Computing

Intel has long been synonymous with computing power. Founded in 1968, it pioneered the microprocessor revolution that transformed personal computing. Today, as we transition from conventional machines to cloud-based systems powered by artificial intelligence and machine learning, Intel remains a critical player.

The Evolution of Intel’s Microprocessors A Brief History

Intel's journey began with the introduction of the first commercially available microprocessor, the 4004, in 1971. Over decades, it has relentlessly innovated:

1970s: Introduction of the 8086 architecture. 1980s: The rise of x86 compatibility. 1990s: Pentium processors that made personal computers widely accessible.

Each evolution marked a leap forward not just for Intel but for global computing capabilities.

Current Microprocessor Technologies

Today’s microprocessors are marvels of engineering. Intel’s current lineup features:

Core i3/i5/i7/i9: Catering to everything from basic tasks to high-end gaming. Xeon Processors: Designed for servers and high-performance computing. Atom Processors: Targeting mobile devices and embedded applications.

These technologies are designed with advanced architectures like Ice Lake and Tiger Lake that enhance performance while optimizing power consumption.

Intel’s Influence on Cloud Computing The Shift to Cloud-Based Solutions

In recent years, businesses have increasingly embraced cloud computing due to its scalability, flexibility, and cost-effectiveness. Intel has played a crucial role in this transition by designing processors optimized for data centers.

Intel’s Data Center Solutions

Intel provides various solutions tailored for cloud service providers:

Intel Xeon Scalable Processors: Designed specifically for workloads in data centers. Intel Optane Technology: Enhancing memory performance and storage capabilities.

These innovations help companies manage vast amounts of data efficiently.

Artificial Intelligence: A New Frontier AI Integration in Everyday Applications

Artificial Intelligence (AI) is becoming integral to modern computing. From smart assistants to advanced analytics tools, AI relies heavily on processing power—something that Intel excels at providing.

Intel’s AI Initiatives

Through initiat

[edumatrixs]

Unlock Your Creative Potential with a Diploma in Digital Content Creation in Dubai

In today’s rapidly evolving digital world, content is more than just king—it’s the entire kingdom. Whether it’s engaging videos, compelling social media campaigns, or immersive storytelling, the demand for skilled digital content creators has never been higher. That’s where edumatrix steps in with its cutting-edge Diploma in Digital Content Creation in Dubai—a program designed to equip future creators with the skills, tools, and vision needed to thrive in the digital age.

Why Choose a Diploma in Digital Content Creation in Dubai?

Dubai is not only a global hub for business and innovation but also a hotspot for media, marketing, and creative industries. By enrolling in a Diploma in Digital Content Creation in Dubai, you’ll gain access to a vibrant creative economy, hands-on training, and exposure to real-world projects that mirror the demands of the industry.

At edumatrix, our curriculum is curated by experts in media, marketing, and design. From video editing and graphic design to digital storytelling and social media strategy, we cover all facets of content creation. Students will also gain exposure to the latest tools and platforms used by professionals globally.

A Holistic Approach to Learning

Our diploma program goes beyond just technical skills. We emphasize creativity, communication, and strategy, ensuring our graduates can not only create content but also understand the psychology of audiences and the dynamics of digital marketing.

Students benefit from:

Expert-led workshops

Hands-on projects and real-time feedback

Industry-standard software training

Portfolio development for job readiness

Whether you’re a recent high school graduate, a career switcher, or a working professional looking to upskill, this diploma offers a flexible and future-proof path to success.

Expand Your Horizons with edumatrix

While our Diploma in Digital Content Creation in Dubai is one of our flagship programs, edumatrix is also proud to offer a diverse range of professional courses, including:

Hospitality Management Courses UAE Perfect for those looking to build a career in one of the UAE’s most dynamic and customer-focused industries. Our hospitality courses combine theoretical knowledge with real-world internships in leading hotels and resorts.

Artificial Intelligence Courses in Dubai AI is reshaping industries across the globe. Our AI programs are ideal for tech enthusiasts and professionals aiming to lead in automation, machine learning, and data-driven decision-making.

Why edumatrix?

As a trusted name in education and professional training in the UAE, edumatrix stands for quality, innovation, and student success. Our mission is to bridge the gap between academic learning and real-world application, empowering learners with relevant skills for today’s job market.

With expert faculty, modern facilities, and strong industry connections, edumatrix is your gateway to a future-proof career—whether in content creation, hospitality, or AI.

Ready to Take the Leap?

Step into the world of creativity and innovation with edumatrix’s Diploma in Digital Content Creation in Dubai. Explore your passions, master in-demand skills, and turn your ideas into powerful content that connects, influences, and inspires.

Visit edumatrix to learn more and enroll today.

[emptydeceiverpraetorian]

Unleashing Innovation: How Intel is Shaping the Future of Technology

Introduction

In the fast-paced world of technology, few companies have managed to stay at the forefront of innovation as consistently as Intel. With a history spanning over five decades, Intel has transformed from a small semiconductor manufacturer into a global powerhouse that plays a pivotal role in shaping how we interact with technology today. From personal computing to artificial intelligence (AI) and beyond, Intel's innovations have not only defined industries but have also created new markets altogether.

In this comprehensive article, we'll delve deep into how Intel is unleashing innovation and shaping the future of technology across various domains. We’ll explore its history, key products, groundbreaking research initiatives, sustainability efforts, and much more. Buckle up as we take you on a journey through Intel’s dynamic Extra resources landscape.

Unleashing Innovation: How Intel is Shaping the Future of Technology

Intel's commitment to innovation is foundational to its mission. The company invests billions annually in research and development (R&D), ensuring that it remains ahead of market trends and consumer demands. This relentless pursuit of excellence manifests in several key areas:

The Evolution of Microprocessors A Brief History of Intel's Microprocessors

Intel's journey began with its first microprocessor, the 4004, launched in 1971. Since then, microprocessor technology has evolved dramatically. Each generation brought enhancements in processing power and energy efficiency that changed the way consumers use technology.

The Impact on Personal Computing

Microprocessors are at the heart of every personal computer (PC). They dictate performance capabilities that directly influence user experience. By continually optimizing their designs, Intel has played a crucial role in making PCs faster and more powerful.

Revolutionizing Data Centers High-Performance Computing Solutions

Data centers are essential for businesses to store and process massive amounts of information. Intel's high-performance computing solutions are designed to handle complex workloads efficiently. Their Xeon processors are specifically optimized for data center applications.

Cloud Computing and Virtualization

As cloud services become increasingly popular, Intel has developed technologies that support virtualization and cloud infrastructure. This innovation allows businesses to scale operations rapidly without compromising performance.

Artificial Intelligence: A New Frontier Intel’s AI Strategy

AI represents one of the most significant technological advancements today. Intel recognizes this potential and has positioned itself as a leader in AI hardware and software solutions. Their acquisitions have strengthened their AI portfolio significantly.

AI-Powered Devices

From smart assistants to autonomous vehicles, AI is embedded in countless devices today thanks to advancements by companies like Intel. These innovations enhance user experience by providing personalized services based on data analysis.

Internet of Things (IoT): Connecting Everything The Role of IoT in Smart Cities

[mariacallous]

The US Patent and Trademark Office banned the use of generative artificial intelligence for any purpose last year, citing security concerns with the technology as well as the propensity of some tools to exhibit “bias, unpredictability, and malicious behavior,” according to an April 2023 internal guidance memo obtained by WIRED through a public records request. Jamie Holcombe, the chief information officer of the USPTO, wrote that the office is “committed to pursuing innovation within our agency” but are still “working to bring these capabilities to the office in a responsible way.”

Paul Fucito, press secretary for the USPTO, clarified to WIRED that employees can use “state-of-the-art generative AI models” at work—but only inside the agency’s internal testing environment. “Innovators from across the USPTO are now using the AI Lab to better understand generative AI's capabilities and limitations and to prototype AI-powered solutions to critical business needs,” Fucito wrote in an email.

Outside of the testing environment, USPTO staff are barred from relying on AI programs like OpenAI’s ChatGPT or Anthropic’s Claude for work tasks. The guidance memo from last year also prohibits the use of any outputs from the tools, including images and videos generated by AI. But Patent Office employees can use some approved AI programs, such as those within the agency’s own public database for looking up registered patents and patent applications. Earlier this year, the USPTO approved a $75 million contract with Accenture Federal Services to update its patent database with enhanced AI-powered search features.

The US Patent and Trademark Office, an agency within the Department of Commerce, is in charge of protecting inventors, awarding patents, and registering trademarks. It also “advises the president of the United States, the secretary of commerce, and US government agencies on intellectual property (IP) policy, protection, and enforcement,” according to the USPTO’s website.

At a Google-sponsored event in 2023, Holcombe, the author of the guidance memo, said government bureaucracy makes it difficult for the public sector to use new technologies. “Everything we do in the government is pretty stupid, when you compare it to the commercial world, right?” he said. Holcombe specifically cited cumbersome budgeting, procurement, and compliance processes, arguing that they hamper the government's ability to rapidly adopt innovations like artificial intelligence.

The USPTO is not the only government agency to ban staff from using generative AI, at least for some purposes. Earlier this year, the National Archives and Records Administration prohibited the use of ChatGPT on government-issued laptops, according to 404 Media. But soon afterward, the National Archives hosted an internal presentation that encouraged employees to “think of [Google’s] Gemini as a co-worker.” During the meeting, some archivists reportedly expressed concerns about the accuracy of generative AI. Next month, the National Archives is planning to release a new public chatbot for accessing archival records developed with technology from Google.

Other US government agencies are using—or avoiding—generative AI in different ways. The National Aeronautics and Space Administration, for example, specifically banned the use of AI chatbots for sensitive data. NASA did decide, however, to experiment with the technology for writing code and summarizing research. The agency also announced last week that it’s working with Microsoft on an AI chatbot that can aggregate satellite data to make it easily searchable. That tool is available only to NASA scientists and researchers, but the goal is to “democratize access to spaceborne data.”

[psychicxenomorphscourge]

Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

Introduction

In a world that is increasingly defined by technological advancements, few companies have had as profound an impact as Intel. Founded in 1968, Intel Corporation has been at the forefront of semiconductor innovation, shaping not just computing but various facets of modern life. From personal computers to cloud computing and artificial intelligence, Intel’s influence permeates every layer of technology today. The question is—how does Intel continue to unlock the future? In this article, we will explore how Intel is shaping tomorrow's technology landscape through innovation, research, sustainability efforts, and strategic partnerships.

Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

At its core, unlocking the future involves leveraging cutting-edge technologies to solve current challenges while also anticipating future demands. For Intel, this means investing heavily in research and development (R&D) to remain competitive in the rapidly evolving tech arena. With products that range from microprocessors to advanced AI systems, Intel stands as a pillar of innovation.

The Evolution of Semiconductor Technology A Brief History of Semiconductor Development

To truly grasp how Intel shapes technology today, it's important to understand the evolution of semiconductors. Initially Learn more here developed in the 1950s and '60s, semiconductors revolutionized electronics by allowing devices to become smaller and more efficient. Intel’s introduction of the first microprocessor in 1971 marked a significant turning point in computing history.

Current Trends in Semiconductor Technology

Today, semiconductor technology continues to evolve at an astonishing pace. Innovations such as 3D chip designs and quantum computing are on the horizon. Companies like Intel are not just keeping up—they are leading these trends through relentless R&D.

Intel's Role in Artificial Intelligence Pioneering AI Technologies

Artificial intelligence represents one of the most promising frontiers for technological advancement today. Intel has made significant strides in developing AI technologies that enhance machine learning capabilities across various sectors—from healthcare to finance.

Real-World Applications of AI Solutions

AI solutions offered by Intel can be seen in applications ranging from predictive analytics in healthcare to autonomous vehicles. These advancements not only improve efficiency but also pave the way for new business models.

Cloud Computing: The New Frontier Intel's Cloud Strategy

As businesses migrate to cloud-based solutions, Intel plays a crucial role by providing powerful processors designed specifically for cloud environments. Their Xeon processors enable data centers to run efficiently and scale dramatically.

Benefits for Businesses Adopting Cloud Solutions

Companies adopting cloud solutions with Intel technologies benefit from improved security features and reduced operational costs. This shift allows businesses to focus on innovation rather than infrastructure management.

Sustainability Initiatives at Intel Commitment to Green Technology

[theaifrontier]

Welcome to AI Insights Hub: Your Guide to the World of Artificial Intelligence

What is Artificial Intelligence, and Why Does It Matter?

Artificial Intelligence (AI) is no longer just a buzzword—it’s a transformative force reshaping how we live, work, and connect. From voice assistants and smart recommendations to self-driving cars and advanced medical diagnostics, AI is powering innovations that were once the stuff of science fiction.

But what exactly is AI? At its core, artificial intelligence refers to machines or software that can perform tasks typically requiring human intelligence, such as learning, reasoning, problem-solving, and decision-making. Whether you’re a tech enthusiast, a business leader, or simply curious about the future, understanding AI is essential in today’s digital world.

Why Start AI Insights Hub?

The world of AI is evolving at lightning speed. New tools, trends, and breakthroughs emerge every day, making it challenging to keep up. AI Insights Hub was created to bridge that gap—offering clear, accessible, and up-to-date information about artificial intelligence for everyone.

Here’s what you can expect from our blog:

Latest AI News & Trends: Stay updated with the most important developments in AI.

In-Depth Guides & Tutorials: Learn how AI works and how you can apply it in real life.

Expert Interviews: Insights from leading voices in the AI community.

Practical Applications: Discover how AI is revolutionizing industries like healthcare, finance, education, and more.

Ethical Discussions: Explore the impact of AI on society, privacy, and the future of work.

Who Is This Blog For?

Whether you’re a beginner eager to learn the basics, a professional seeking to implement AI in your business, or a developer looking for advanced tips and tools, AI Insights Hub is your go-to resource. Our mission is to make AI understandable, practical, and exciting for everyone.

Join Us on This Journey

Artificial intelligence is shaping the future—and you don’t want to be left behind. Subscribe to our newsletter, follow us on social media, and join the conversation as we explore the limitless possibilities of AI together.

Stay tuned for our next post: “AI in Everyday Life: 5 Surprising Ways You’re Already Using Artificial Intelligence.”

Thank you for visiting AI Insights Hub. Let’s unlock the future, one insight at a time!

[stuarttechnologybob]

What is the difference between AI testing and automation testing?

Automation Testing Services

As technology continues to evolve, so do the methods used to test software. Two popular approaches in the industry today are AI testing and Automation Testing. While they are often used together or mentioned side by side, they serve different purposes and bring unique advantages to software development. Let's explore how they differ.

What Is Automation Testing?

Automation Testing involves writing and crafting test scripts or using testing tools and resources to run the tests automatically without human intervention. As it's commonly used to speed up repetitive testing tasks like regression testing, performance checks, or functional validations. These tests follow a fixed set of rules and are often best suited for stable, predictable applications with its implementation. Automation Test improves overall efficiency, reduces human error, and helps the developers and coders to release software faster and with precise detailing.

What Is AI Testing?

AI testing uses artificial intelligence technologies like ML, NLP, and pattern recognition to boost their software testing process and operations. Unlike Automation Tests, AI testing can learn from data, predict where bugs might occur, and even adapt test cases when an application changes. While it makes the testing process more innovative and flexible, especially in complex and tough applications where manual updates to test scripts are time-consuming.

Key Differences Between AI Testing and Automation Testing:

Approach: Automation Test follows pre-written scripts, while AI testing uses the data analysis and learning to make precise decisions with ease.

Flexibility: Automation Test requires the updates if the software changes or adapts to new terms; AI testing can adapt automatically and without any interpretation.

Efficiency: While both of the testing methods aim to save time, AI testing offers more intelligent insights and better prioritization of test cases with its adaptation.

Use Cases: Automation Tests are ideal and suitable for regression tests and routine tasks and common testing. AI testing is better suited for dynamic applications and predictive testing.

Both methods are valuable, and many companies use a combination of Automation Testing and AI testing to achieve reliable and intelligent quality assurance. Choosing the correct method depends on the project's complexity and testing needs. Automation Test is best for repetitive and everyday tasks like checking login pages, payment forms, or user dashboards and analytics. It's also helpful in regression testing — where old features must be retested after  certain updates or standard system upgrades.

Companies like Suma Soft, IBM, Cyntexa, and Cignex offer advanced automation test solutions that support fast delivery, better performance, and improved software quality for businesses of all sizes.

[beardedmrbean]

WASHINGTON (AP) — U.S. applications for jobless benefits held steady last week as layoffs remain low despite uncertainty over how President Donald Trump’s tariffs will impact the economy.

The number of Americans applying for unemployment aid was unchanged at 229,000 for the week ending May 10, the Labor Department said Thursday. That’s in line with the 230,000 new applications analysts forecast.

Weekly applications for jobless benefits are seen as representative of U.S. layoffs and have mostly bounced around a healthy range between 200,000 and 250,000 since COVID-19 ravaged the economy and wiped out millions of jobs five years ago.

Even though Trump has paused or rolled back many of his tariff threats, concerns remain about a global economic slowdown that could upend the U.S. labor market, which has been a pillar of the American economy for years.

Last week, the Federal Reserve held its benchmark lending rate at 4.3% for the third straight meeting after cutting it three straight times at the end of last year.

Fed chair Jerome Powell said the risks of both higher unemployment and inflation have risen, an unusual combination that complicates the central bank’s dual mandate of controlling prices and keeping unemployment low.

Powell said that tariffs have dampened consumer and business sentiment but that data has not yet shown significant harm to the economy.

Also on Thursday, the government reported that inflation at the wholesale level fell unexpectedly in April for the first time in more than a year. However, new retail sales data showed that Americans pulled back their spending in April after stocking up on goods the month before to get ahead of expected price increases due to tariffs.

On Monday, the U.S. and China agreed to a 90-day pause in their trade war, giving financial markets a boost and at least temporarily relieving some of the anxiety over the impact of tariffs on the U.S. economy.

Trump is attempting to reshape the global economy by dramatically increasing import taxes to rejuvenate the U.S. manufacturing sector.

Contraction has already begun in the U.S., where the economy shrank at a 0.3% annual pace from January through March as Trump’s trade wars disrupted business. First-quarter growth was slowed by a surge in imports as companies in the U.S. tried to bring in foreign goods before Trump’s massive tariffs went into effect.

Trump has also promised to drastically downsize the federal government workforce, which occupied much of the initial weeks of his second term.

It’s not clear when the job cuts ordered by the Department of Government Efficiency — or “DOGE,” spearheaded by billionaire Tesla CEO Elon Musk — will surface in the weekly layoffs data. Many of the cuts are being challenged in the courts, though the federal government staff reductions are already being felt, even outside of the Washington, D.C. area.

Despite showing some signs of weakening during the past year, the labor market remains robust, with plentiful jobs and relatively few layoffs.

Earlier this month, the government reported that U.S. employers added a surprisingly strong 177,000 jobs in April and the unemployment rate held at a historically healthy 4.2%.

Many economists still anticipate that a negative impact from trade wars will materialize this year for American workers.

On Tuesday, Microsoft began laying off about 6,000 workers, nearly 3% of its workforce and its largest job cuts in more than two years as the company spends heavily on artificial intelligence.

Other companies that have announced job cuts this year include Workday, Dow, CNN, Starbucks, Southwest Airlines and Facebook parent company Meta.

The Labor Department's report Thursday said that the four-week average of claims, which softens some of the week-to-week fluctuations, rose by 3,250 to 230,500.

The total number of Americans receiving unemployment benefits for the week of May 3 rose by 9,000 to 1.88 million.

[sorelynobleprophet]

Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

Introduction

In a world that is increasingly defined by technological advancements, few companies have had as profound an impact as Intel. Founded in 1968, Intel Corporation has been at the forefront of semiconductor innovation, shaping not just computing but various facets of modern life. From personal computers to cloud computing and artificial intelligence, Intel’s influence permeates every layer of technology today. The question is—how does Intel continue to unlock the future? In this article, we will explore how Intel is shaping tomorrow's technology landscape through innovation, research, sustainability efforts, and strategic partnerships.

Unlocking the Future: How Intel is Shaping Tomorrow's Technology Landscape

At its core, unlocking the future involves leveraging cutting-edge technologies to solve current challenges while also anticipating future demands. For Intel, this means investing heavily in research and development (R&D) to remain competitive in the rapidly evolving tech arena. With products that range from microprocessors to advanced AI systems, Intel stands as a pillar of innovation.

The Evolution of Semiconductor Technology A Brief History of Semiconductor Development

To truly grasp how Intel shapes technology today, it's important to understand the evolution of semiconductors. Initially developed in the 1950s and '60s, semiconductors revolutionized electronics by allowing devices to become smaller Hop over to this website and more efficient. Intel’s introduction of the first microprocessor in 1971 marked a significant turning point in computing history.

Current Trends in Semiconductor Technology

Today, semiconductor technology continues to evolve at an astonishing pace. Innovations such as 3D chip designs and quantum computing are on the horizon. Companies like Intel are not just keeping up—they are leading these trends through relentless R&D.

Intel's Role in Artificial Intelligence Pioneering AI Technologies

Artificial intelligence represents one of the most promising frontiers for technological advancement today. Intel has made significant strides in developing AI technologies that enhance machine learning capabilities across various sectors—from healthcare to finance.

Real-World Applications of AI Solutions

AI solutions offered by Intel can be seen in applications ranging from predictive analytics in healthcare to autonomous vehicles. These advancements not only improve efficiency but also pave the way for new business models.

Cloud Computing: The New Frontier Intel's Cloud Strategy

As businesses migrate to cloud-based solutions, Intel plays a crucial role by providing powerful processors designed specifically for cloud environments. Their Xeon processors enable data centers to run efficiently and scale dramatically.

Benefits for Businesses Adopting Cloud Solutions

Companies adopting cloud solutions with Intel technologies benefit from improved security features and reduced operational costs. This shift allows businesses to focus on innovation rather than infrastructure management.

Sustainability Initiatives at Intel Commitment to Green Technology