Artificial intelligence could bring about “biological conflict,” said former Google chief executive Eric Schmidt, who co-chaired the National Security Commission on Artificial Intelligence.

Schmidt spoke with defense reporters Sept. 12 as he helped release a new paper from his tech-oriented nonprofit think tank, the Special Competitive Studies Project. Schmidt launched the think tank with staff from the commission in order to continue the commission’s work.

AI’s applicability to biological warfare is “something which we don’t talk about very much,” Schmidt said, but it poses grave risks. “It’s going to be possible for bad actors to take the large databases of how biology works and use it to generate things which hurt human beings,” Schmidt said, calling that risk “a very near-term concern.”

Companies are using artificial intelligence tools to screen potential employees but they are screening out highly-qualified candidates.

Researchers at the Nanyang Technical University (NTU) in Singapore are leading the way in the development of soft electronics and have now set up a high-tech laboratory where they can rapidly prototype new devices with ultrathin and stretchable electronics.

Conventional electronics products are hard and rigid since they rely on silicon as their primary substrate. These products work well at industrial scales or even for personal use products.

BUT, rigidity becomes a major hurdle when they have to be used in conjunction with the human body.

The woke Goody-2 chatbot’s guardrails are so geared towards safety, it won’t answer any question fully — but it’ll definitely tell you why.

An RIT engineering researcher bridges biology and computing to advance innovative neural network processing and storage using DNA molecules.

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Researchers have overcome a major challenge in biomimetic robotics by developing a sensor that, assisted by AI, can slide over braille text, accurately reading it at twice human speed. The tech could be incorporated into robot hands and prosthetics, providing fingertip sensitivity comparable to humans.

Human fingertips are incredibly sensitive. They can communicate details of an object as small as about half the width of a human hair, discern subtle differences in surface textures, and apply the right amount of force to grip an egg or a 20-lb (9 kg) bag of dog food without slipping.

As cutting-edge electronic skins begin to incorporate more and more biomimetic functionalities, the need for human-like dynamic interactions like sliding becomes more essential. However, reproducing the human fingertip’s sensitivity in a robotic equivalent has proven difficult despite advances in soft robotics.

In an atomically thin stack of semiconductors, a mechanism unseen in any natural substance causes electrons’ spins to align.

Lars Holmquist, a professor of design and innovation at Nottingham Trent University, said psychologists have historically proven that humans interpret interactions with computers like real social relationships.

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A team of researchers at Facebook’s parent company Meta has come up with a new benchmark to gauge the abilities of AI assistants like OpenAI’s large language model GPT-4.

And judging by current standards, OpenAI’s current crop of AI models are all… still pretty stupid.

The team, which includes “AI godfather” and Meta chief scientist Yann LeCun, came up with an exam called GAIA that’s made up of 466 questions that “are conceptually simple for humans yet challenging for most advanced AIs,” per a yet-to-be-peer-reviewed paper.