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Archive for the ‘robotics/AI’ category: Page 227

Nov 14, 2023

Nvidia introduces the H200, an AI-crunching monster GPU that may speed up ChatGPT

Posted by in categories: futurism, robotics/AI

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.

Nov 14, 2023

Popular AI platform introduces rewards system to encourage deepfakes of real people

Posted by in category: robotics/AI

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.

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Nov 14, 2023

GitHub’s all-in bet on AI may overlook Git

Posted by in category: robotics/AI

Not everyone wants AI to do everything for them. Will the risk of losing transparency and visibility into code change how GitHub made collaborative coding so powerful?

Nov 14, 2023

AI is going to ‘turbocharge winners’ faster than anyone is expecting, predicts an MIT research scientist

Posted by in category: robotics/AI

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.

Nov 14, 2023

AI chemist finds molecule to make oxygen on Mars after sifting through millions

Posted by in categories: robotics/AI, space

The system calculated more than 3.7 million molecules it could make from six different metallic elements in the rocks.

Using meteorites from Mars, an AI-powered robot chemist synthesized compounds that could be used to generate oxygen from water, scientists announced on Monday (Nov.

Nov 13, 2023

AI chemist synthesizes catalyst for oxygen production from Martian meteorites: One step closer to Mars immigration?

Posted by in categories: chemistry, robotics/AI, solar power, space travel, sustainability

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 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.

Continue reading “AI chemist synthesizes catalyst for oxygen production from Martian meteorites: One step closer to Mars immigration?” »

Nov 13, 2023

Next-Gen Computing: Chiral Magnets Reshape the Landscape of Reservoir Computing

Posted by in categories: materials, robotics/AI

“This work brings us a step closer to realizing the full potential of physical reservoirs to create computers that not only require significantly less energy, but also adapt their computational properties to perform optimally across various tasks, just like our brains,” said Dr. Oscar Lee.


A recent study published in Nature Materials examines a breakthrough approach in physical reservoir computing, also known as a neuromorphic or brain-inspired method and involves using a material’s physical properties to adhere to a myriad of machine learning duties. This study was conducted by an international team of researchers and holds the potential to help physical reservoir computing serve as a framework towards making machine learning more energy efficient.

Artist rendition of connected chiral (twisted) magnets used as a computing avenue for brain-inspired, physical reservoir computing. (Credit: Dr. Oscar Lee)

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Nov 13, 2023

AI-powered headphones let users choose what they hear

Posted by in categories: information science, mobile phones, robotics/AI

The devices are controlled via voice commands or a smartphone app.


Active noise control technology is used by noise-canceling headphones to minimize or completely block out outside noise. These headphones are popular because they offer a quieter, more immersive listening experience—especially in noisy areas. However, despite the many advancements in the technology, people still don’t have much control over which sounds their headphones block out and which they let pass.

Semantic hearing

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Nov 13, 2023

AI improves genome editing of microbes to produce renewable fuels

Posted by in categories: bioengineering, biotech/medical, chemistry, quantum physics, robotics/AI

The AI tools were complemented by quantum biology and bioengineering approaches.


Philip Gray/ORNL, U.S. Dept. of Energy.

Combining several advances.

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Nov 13, 2023

Energy-efficient robotic muscles convert electricity into motion

Posted by in category: robotics/AI

The new devices reduce energy use by up to a thousand times.


Sant’Anna.

Now, researchers at Scuola Superiore Sant’Anna are seeking to change this. The results could forever revolutionize how actuators are used and significantly expand the industries where they can be applied.

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