Artificial Intelligence - Page 26

Amazon plans to spend over $100 billion on building new data centers over the next 10 years, announcing the official launch of its "era of great expansion" of data centers for the future of AI.

Amazon AWS (Amazon Web Services) is the global leader in cloud servers, launching its new data center expansion plans, which will create rather big business opportunities for AI server shipments. AWS server OEMs Quanta, Wiwynn, and Inventic are "gaining momentum" reports UDN, in their "shipping engines".

The US-based giant has big plans for its data center expansions, with large-scale construction to stimulate growth of demand in high-speed transmission, where in the future, the demand for optical modules in AI data centers will increase, reports UDN.

Rain AI has just hired an Apple chip executive to lead its hardware engineering, marking the second high-profile hire the Sam Altman-backed AI startup has made.

The Sam Altman-led Rain AI startup is attempting to design a new type of semiconductor for artificial intelligence (AI), securing Jean-Didier Allegrucci, a former Apple chip executive who also helped oversee the development of processors for Apple that helped the company replace the Intel CPUs inside of its Mac systems, and the A-series processors inside of the iPhone.

The former Apple chip executive will help Rain AI to develop more energy-efficient chip, where he'll work with Rain AI's new lead architect Amin Firoozshahian, who moved to AI startup after 5 years of working with Meta.

The CEO of Microsoft's AI division has sat down for an interview where he touched on the sensitive subject of where the data comes from to train the popular emerging AI tools, such as ChatGPT, or Microsoft's Copilot.

Up until now, there hasn't been any transparency with the datasets used by companies such as OpenAI to train its neural networks, which power its popular AI tools. The ambiguity around where AI companies are acquiring these large swaths of data has led to several lawsuits, with owners of online content claiming OpenAI and Microsoft stole copyrighted content to train its AI algorithms, which are then used commercially.

Two authors have already sued Microsoft and OpenAI over using their work to train the AI models without their permission, while eight newspapers, along with the New York Times, have filed lawsuits against OpenAI and Microsoft. The ambiguity around copyrighted content can be traced back to the grey area in current laws, which appears to be what AI companies are relying on to get away with taking data from any area of the internet they can.

A scientist has unveiled what is being called the "Prison of the Future", and it involves inserting an AI implant in a prisoner's head that shows them artificial memories of the crimes they have committed, but from the perspective of their victim.

A proposal video of the virtual justice system, or neurological prison, was posted to Hashem Al-Ghaili's YouTube and Instagram account, who is a molecular biologist and science communicator. The video explains how the virtual prison would theoretically work, which Al-Ghaili is calling Cognify. In a nutshell, prisoners would be subjected to 10 minutes of intense AI-generated content that would be injected into the brain, DNA, and RNA - targeting each part linked to memory formation.

The content shown to the prisoner would be designed to invoke emotional states such as remorse or regret while also enabling the prisoner to experience what the crime is like from the perspective of the victim. The rehabilitation technique would only last several minutes, but to the prisoner, it would likely feel much longer, potentially even years. Not only will the prisoner visually experience the perspective of their victim, but they will also get a physical response that translates to the pain suffered by their victim. These memories are "designed to trigger consequences and trauma," the video added.

NVIDIA CEO Jensen Huang has recently said that its upcoming Blackwell GPU architecture will be the most "successful product in their history and for the entire history of computers".

The new comments on the upcoming Blackwell GPU architecture were made during NVIDIA's Annual General Meeting, with NVIDIA shareholders sitting down to discuss the company's future. Jensen said that the future of AI markets is bright and "green' and that we can expect AI automation to explode into a $50 trillion (yeah, that's with a T) market in the future.

Blackwell won't just be limited to the AI GPU market with B100, B200, and the GB200 Superchip, but we can expect the Blackwell GPU architecture to find gamers' wallets with the GeForce RTX 50 series, led by the flagship GeForce RTX 5090 and GeForce RTX 5080.

NVIDIA CEO Jensen Huang thinks that the current AI insanity will lead to AI automation worth a mind-boggling $50 trillion worth of companies, and that NVIDIA's new Blackwell GPU architecture will play a (gigantic) role in that future.

At the recent NVIDIA Annual General Meeting, the company's shareholders talked about future plans including compensation packages for top NVIDIA executives, including CEO Jensen Huang.

During the meeting, Jensen talked about the future of the AI markets being bright and "green" as well, claiming that companies are moving towards automation and that the AI automation sector could grow into a $50 trillion stream, which would make it one of the largest markets on the planet.

Apple will be unleashing its next-generation A18 processor for its new iPhone 16 family of smartphones, which will roll out with ChatGPT-powered Apple Intelligence.

In a new rumor, we're hearing that the new A18 chipset will be more powerful than the new M4 processor that has rolled out inside of new iPad Pros recently. Apple's new M4 processor is inside of the 11-inch and 13-inch iPad Pro slates have the most powerful Apple silicon to date, with its built-in Neural Engine capable of 38 TOPS of AI workload performance.

Apple's new A18 and A18 Pro chips will be made at TSMC on its 3nm "N3E" process node, providing the company with impressive performance per watt numbers.

Two AI startups, one founded by former Google DeepMind employees and the other in partnership with Microsoft for integration into its Copilot AI, are being sued by some of the biggest record labels in the music industry.

The lawsuit has been organized by the Recording Industry Association of America, Sony, Warner Brothers, Universal, and others and has been filed against Uncharted Labs and Suno, the creators of Udio, and Suno, two AI music generators. Notably, Uncharted Labs was founded by former Google DeepMind employees, while Suno has been engaging in a partnership with Microsoft to integrate its AI music generation software into Copilot.

In what appears to be an exponentially growing number of AI-based lawsuits, the record labels are all claiming the companies behind the AI music generators stole copyrighted music to train their AIs. This isn't the first time copyright claims have been thrown against an AI company, as the New York Times filed a lawsuit against OpenAI, the creators of ChatGPT, for allegedly using the Times' articles without its permission.

The company behind the immensely popular AI-powered tool ChatGPT has announced it's acquiring a startup company called Multi.

The latest acquisition by OpenAI could be a clue to what features its AI systems will be adopting in the future. What makes Multi so special? According to a statement on the company's blog, Multi is a company that works on advanced screensharing and collaboration tools, which are specifically designed for software engineers. The tool enables screensharing with up to 10 people, and shared cursors.

While this tool may seem useful for a very niche number of people, combining the technology with the power of OpenAI's systems could provide a new way for humans to interact with desktop PCs. Multi's goal, as outlined in its blog post, was to make desktop PCs "inherently multiplayer", and set out to achieve this by asking themselves "how we should work with computers. Not on or using computers, but truly with computers."

Apple is reportedly gearing up to establish a new data center in Taiwan, and negotiations with third-party manufacturers are underway.

Apple would join US technology giants Amazon, Google, Microsoft, and NVIDIA with Taiwan-based datacenters after a "new wave of AI server purchasing momentum" is occurring, and a rush to buy "green electricity" reports UDN.

The outlet reports that the industry is optimistic about Foxconn and its long-term collaboration with Apple -- Foxconn is a contract manufacturer that makes the iPhone and other products for Apple -- and is now the world's largest AI server foundry. Once Apple's new data center lands in Taiwan, Foxconn will benefit "the most," reports UDN, as the "best ally and landlord". Meanwhile, Quanta, Wistron, and Inventec are "also expected to enjoy good fortune".