The future enterprise won't be defined by how much data it holds but by how intelligently and responsibly agents act on that ...

Classic cybersecurity tools are nearly powerless against semantic attacks. Signature detection, hashing, and code audits all depend on identifying explicit changes in code or data, but meaning-level ...

What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

Since its introduction by Microsoft in 2024 as a way to address the limitations of large language models, GraphRAG has emerged as a leading method for focusing LLM reasoning and delivering accurate, ...

The self-play framework uses a 'Challenger' and a 'Reasoner' to create a self-improving loop, pushing the boundaries of AI ...

The authors argue that AI fairness and global accessibility cannot be evaluated solely through model-centric metrics. Instead ...

Marijn Heule turns mathematical statements into something like Sudoku puzzles, then has computers go to work on them. His ...

RUNSTACK Inc., a Canadian AI agent software company, today announced a breakthrough in artificial intelligence: HyperMemory, a proprietary long-term memory architecture built on advanced hypergraph ...

Without a new approach to entry-level training for lawyers, accountants and other knowledge workers, we’re risking the future ...

While computer-use models are still too slow and unreliable, browser agents are already becoming production-ready, even in ...

Artificial intelligence is transforming every sector of the global economy. From finance and healthcare to logistics, education, and national defense, large language models (LLMs) and other foundation ...