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We’re getting one step closer to wearable Star Trek technology in the form of a new device called the “Ai Pin.” (via Humane). The AI Pin was created by a startup company called Humane, which is primarily led by ex-Apple employees who want to transform how we interact with our devices.
On Monday, Nvidia announced the HGX H200 Tensor Core GPU, which utilizes the Hopper architecture to accelerate AI applications. It’s a follow-up of the H100 GPU, released last year and previously Nvidia’s most powerful AI GPU chip. If widely deployed, it could lead to far more powerful AI models—and faster response times for existing ones like ChatGPT—in the near future.
According to experts, lack of computing power (often called “compute”) has been a major bottleneck of AI progress this past year, hindering deployments of existing AI models and slowing the development of new ones. Shortages of powerful GPUs that accelerate AI models are largely to blame. One way to alleviate the compute bottleneck is to make more chips, but you can also make AI chips more powerful. That second approach may make the H200 an attractive product for cloud providers.
The “bounties” feature has mostly been used to recreate women (big surprise.)
Civitai, an online marketplace for sharing AI models, just introduced a new feature called “bounties” to encourage its community to develop passable deepfakes of real people, as originally reported by 404 Media.
Popular AI platform Civitai just launched a feature called ‘bounties’ that encourages the community to create passable deepfakes upon request. The best one gets some fake money.
Risk is certainly an area of concern for CFOs when it comes to implementing generative AI.
However, Andrew McAfee, a principal research scientist at MIT, has a message for CFOs regarding the technology: “Risk tolerance needs to shift,” McAfee said.
“The risks are real, but they are manageable,” Andrew McAfee told a group of CFOs.
Immigration to and living on Mars have long been depicted in science fiction. But before that dream turns into reality, there is a hurdle humans have to overcome—the lack of chemicals such as oxygen essential for long-term survival on the planet. However, the recent discovery of water activity on Mars is promising.
Scientists are now exploring the possibility of decomposing water to produce oxygen through electrochemical water oxidation driven by solar power with the help of oxygen evolution reaction (OER) catalysts. The challenge is to find a way to synthesize these catalysts in situ using materials on Mars, instead of transporting them from the Earth, which is costly.
To tackle this problem, a team led by Prof. Luo Yi, Prof. Jiang Jun, and Prof. Shang Weiwei from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), recently made it possible to synthesize and optimize OER catalysts automatically from Martian meteorites with their robotic artificial intelligence (AI)-chemist.