Lifeboat Foundation

It looks like Mark Zuckerberg’s company is winding down its metaverse dreams.

Amid the crypto slump, Meta has announced it would be parting with non-fungible tokens (NFTs) on its platforms less than a year after launch.

Stephane Kasriel, the Commerce and FinTech lead at Meta said in a Twitter thread that the company will be “winding down” on digital collectibles, specifically NFTs, for now, and focus on other ways to support creators. Digital collectibles like NFTs were one of the pillars of the company’s pitch for a ‘metaverse’-based future of the internet.

https://www.tweaktown.com/news/90714/ai-apologizes-for-killi…index.html.

A robot that dissolves into a puddle after exposing itself to heat and UV light could one day be used to securely gather intelligence and then destroy itself before it falls into the wrong hands.

By Lauren Barack

How will superhuman artificial intelligence (AI) affect human decision-making? And what will be the mechanisms behind this effect? We address these questions in a domain where AI already exceeds human performance, analyzing more than 5.8 million move decisions made by professional Go players over the past 71 y (1950 to 2021). To address the first question, we use a superhuman AI program to estimate the quality of human decisions across time, generating 58 billion counterfactual game patterns and comparing the win rates of actual human decisions with those of counterfactual AI decisions. We find that humans began to make significantly better decisions following the advent of superhuman AI. We then examine human players’ strategies across time and find that novel decisions (i.e., previously unobserved moves) occurred more frequently and became associated with higher decision quality after the advent of superhuman AI. Our findings suggest that the development of superhuman AI programs may have prompted human players to break away from traditional strategies and induced them to explore novel moves, which in turn may have improved their decision-making.

One Health Approaches To Prevent Zoonoses & Antimicrobial Resistance — Dr. Keith Sumption, Ph.D. — Chief Veterinary Officer and Leader of the Animal Health Program; Director, Joint Centre for Zoonoses and Anti-Microbial Resistance (CJWZ), Food and Agriculture Organization of the United Nations (FAO)

Dr. Keith Sumption, Ph.D. is Chief Veterinary Officer and Leader of the Animal Health Program at the Food and Agriculture Organization of the United Nations (FAO — https://www.fao.org/home/en) as well as their Director of the Joint Centre for Zoonoses and Anti-Microbial Resistance (CJWZ).

Continue reading “Dr. Keith Sumption, Ph.D. — Chief Veterinary Officer — Food and Agriculture Organization of the UN” »

Join Greg Brockman, President and Co-Founder of OpenAI, at 1 pm PT for a developer demo showcasing GPT-4 and some of its capabilities/limitations. Join the co…

The fruit fly larva connectome showed circuit features that were strikingly reminiscent of prominent and powerful machine learning architectures. “Some of the architectural features observed in the Drosophila larval brain, including multilayer shortcuts and prominent nested recurrent loops, are found in state-of-the-art artificial neural networks, where they can compensate for a lack of network depth and support arbitrary, task-dependent computations,” they wrote. The team expects continued study will reveal even more computational principles and potentially inspire new artificial intelligence systems. “What we learned about code for fruit flies will have implications for the code for humans,” Vogelstein said. “That’s what we want to understand—how to write a program that leads to a human brain network.”

The animal brain consists of tens of billions of neurons or nerve cells that perform complex tasks like processing emotions, learning, and making judgments by communicating with each other via neurotransmitters. These small signaling molecules diffuse—move from high to low concentration regions—between neurons, acting as chemical messengers.

Scientists believe that this diffusive motion might be at the heart of the brain’s superior function. Therefore, they have aimed to understand the role of specific neurotransmitters by detecting their release in the brain using amperometric and microdialysis methods. However, these methods provide insufficient information, necessitating better sensing techniques.

To this end, scientists developed an optical imaging method wherein protein probes change their fluorescence intensity upon detecting a specific neurotransmitter. Recently, a group of researchers from Shibaura Institute of Technology in Japan led by Professor Yasuo Yoshimi has taken this idea forward. They have successfully synthesized fluorescent molecularly imprinted polymeric nanoparticles (fMIP-NPs) that serve as probes to detect specific neurotransmitters–serotonin, dopamine, and acetylcholine.

A team of researchers led by the University of Innsbruck have observed a quantum tunneling effect in experiments that build off 15 years of research into such reactions and marks the slowest charged particle reaction ever observed until now. But while such chemical reactions have only been theoretical up to this point, can it be achieved in real-world experiments?

“It requires an experiment that allows very precise measurements and can still be described quantum-mechanically,” said Dr. Roland Wester, who is a professor of theoretical *physics at the University of Innsbruck, and lead author of the study. “The idea came to me 15 years ago in a conversation with a colleague at a conference in the United States.”