We’ve detected that JavaScript is disabled in this browser. Please enable JavaScript or switch to a supported browser to continue using x.com. You can see a list of supported browsers in our Help Center.
Terms of Service Privacy Policy Cookie Policy Imprint Ads info © 2024 X Corp.
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 large language models (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.
Ever wondered how intelligent AI could become by 2034? As we dive into this thought-provoking topic, we’ll explore the potential…
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.
The Turing Award winner believes the only way to guarantee safety is to use AI, not humans, to check other AI 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.
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.
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.
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.
