This isn't surprising. It’s happening because companies are aiming AI at the wrong targets. The prevailing wisdom is to ...

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so large they’re impossible to write out using standard mathematical notation.

In this continuation of a three-part series, the author explores the potential use of agentic AI in pharmaceutical R&D.

The modern digital supply chain is no longer a traditional linear sequence but a complex, interconnected ecosystem of ...

TOKYO, Sept. 30, 2025 /PRNewswire/ -- As generative AI use continues to increase, accuracy has become the most important ...

The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The rate of acquisition of genomic changes in cancer has been the topic of much discussion, with several recent investigations finding evidence of punctuated evolution instead of gradual accumulation ...

By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to ...

Can you chip in? The Internet Archive is introducing peer-to-peer (P2P) fundraising —a giving platform that allows individual supporters to host personalized campaigns to fundraise for the Internet ...

Abstract: We formulate an optimal supervisory control problem for quantitative non-terminating discrete event systems (DESs) modeled by finite weighted automata. The control performance of a ...