Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 453

Are emergent abilities in large language models just in-context learning?

According to a new study led by TU Darmstadt, AI models such as ChatGPT are apparently less capable of learning independently than previously assumed.

According to the study, there is no evidence that what are known as (LLMs) are beginning to develop a general “intelligent” behavior that would enable them to proceed in a planned or intuitive manner or to think in a complex way.

The study, which has been published on the arXiv preprint server, will be presented in August at the annual conference of the Association for Computational Linguistics (ACL) in Bangkok, the largest international conference on automatic language processing.

Can odors help fight infection? Nematode research suggests so

In a recent study published in Science Advances, researchers from the University of California, Berkeley, used the nematode model Caenorhabditis elegans to determine whether the olfactory nervous system could non-autonomously control the mitochondrial unfolded protein response in response to cellular stress.

A critical part of maintaining a state of cellular homeostasis is coordinating responses to environmental stress across tissues. Substantial evidence now supports the fact that the central nervous system regulates stress across all tissues. Furthermore, cell non-autonomous induction of stress responses occurs in peripheral tissues when unfolded protein responses (UPR) in the mitochondria and the endoplasmic reticulum are activated in the neurons.

Stressed cells undergo misfolding or unfolding of proteins, and UPR transmits protein folding status information to the nucleus to enable cellular stress responses or induce apoptotic cell death. The non-autonomous control of cellular stress responses is believed to be essential for the organism to survive toxic environmental conditions.

Study unveils limits on the extent to which quantum errors can be ‘undone’ in large systems

Quantum computers have the potential of outperforming conventional computers on some practically relevant information processing problems, possibly even in machine learning and optimization. Yet their large-scale deployment is not yet feasible, largely due to their sensitivity to noise, which causes them to make errors.

Inside Cybersecurity; Challenges, Emerging Tech, Mitigating Threats

Link to newsletter:

Dear Subscribers, please see the latest Security & tech Insights newsletter covering emerging issues, trends and potential solutions in the world of cybersecurity. Thanks for reading and stay safe! Best, Chuck Brooks PS checkout my new book on Amazon: Inside Cyber: How AI, 5G, and Quantum Computing Will Transform Privacy and Our Security Amazon.com : Inside Cyber: How AI, 5G, and Quantum Computing Will Transform Privacy and Our Security: 9781394254941: Brooks, Chuck: Books.

These Scientists Are Battling Dangerous Superbugs With a ChatGPT-Like AI

According to the World Health Organization, antibiotic resistance is a top public health risk that was responsible for 1.27 million deaths across the globe in 2019. When repeatedly exposed to antibiotics, bacteria rapidly learn to adapt their genes to counteract the drugs—and share the genetic tweaks with their peers—rendering the drugs ineffective.

Superpowered bacteria also torpedo medical procedures—surgery, chemotherapy, C-sections—adding risk to life-saving therapies. With antibiotic resistance on the rise, there are very few new drugs in development. While studies in petri dishes have zeroed in on potent candidates, some of these also harm the body’s cells, leading to severe side effects.

What if there’s a way to retain their bacteria-fighting ability, but with fewer side effects? This month, researchers used AI to reengineer a toxic antibiotic. They made thousands of variants and screened for the ones that maintained their bug-killing abilities without harming human cells.

The Potential for AI in Science and Mathematics — Terence Tao

Terry Tao is one of the world’s leading mathematicians and winner of many awards including the Fields Medal. He is Professor of Mathematics at the University of California, Los Angeles (UCLA). Following his talk, Terry is in conversation with fellow mathematician Po-Shen Loh.

The Oxford Mathematics Public Lectures are generously supported by XTX Markets.

Weapons startup Anduril hits $14-billion valuation, plans huge new facility

Defense technology startup Anduril Industries Inc. has raised $1.5 billion in a new funding round and plans to spend hundreds of millions on a new facility to manufacture its rockets, underwater vehicles and other autonomous weapons systems at greater scale and speed.

The deal, which values Anduril at $14 billion, is one of the largest venture capital financings of the year so far, and reflects the company’s success getting government contracts, as well as rising investor enthusiasm for defense technology companies.

Peter Thiel’s Founders Fund and Sands Capital co-led the Series F funding round, which has been in the works for more than a month. The deal nearly doubles the startup’s valuation from its previous funding round in 2022, which raised $1.48 billion.

/* */