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

Executives who deploy agentic AI position their organizations to operate with deeper, more diversified intelligence, ...

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 ...

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, ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...

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

Learn how Claude's ability to monitor its internal states could transform AI safety and provide insights into human brain ...

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

AI inference is rapidly evolving to meet enterprise needs – becoming tiered, distributed, and optimized for RAG, agentic, and ...

Mark Zuckerberg and Priscilla Chan today announced the launch of a first-of-its-kind initiative combining frontier artificial intelligence and frontier biology to dramatically accelerate scientific ...

Behind the sleek interfaces of today’s chatbots lies a labyrinth of code, data and unanswered questions. Artificial Intelligence (AI) has ...