In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

And then it got me.” A handful of decades and an MIT physics doctorate later, Tan is the chief science officer (CSO) of ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

Consciousness may emerge not from code, but from the way living brains physically compute.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

And, as we changed this means of interaction rather quickly, one way we did it has to do with games. Game engines are now AI ...

Tech companies are claiming machines more intelligent than us and capable of having their own agendas are just around the ...

Abstract: Effective knowledge retrieval is crucial for addressing challenges related to optimization, such as pest management, soil health and crop productivity. Current single-model approaches ...

The obvious culprit is the artificial intelligence boom that has upended the tech industry, birthing a fresh glossary of ...