Methodological advances in analyzing complex and high-dimensional datasets Methodological advances in Natural Language Processing, in particular with respect to causal inference. Innovative ...

Hearing from critics is never easy, but Graham Neubig felt especially annoyed by his. Peer reviews for papers he’d submitted to an artificial-intelligence conference, the International Conference on ...

GPTZero, a detector of AI output, has found yet again that scientists are undermining their credibility by relying on unreliable AI assistance.… The New York-based biz has identified 100 ...

At the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) in San Diego this week (December 2-7, 2025), researchers from Bloomberg’s AI Engineering group and the ...

To date, the main role of AI in scientific research has been to assist with narrow tasks such as discovering chemical structures, analyzing data or predicting protein shapes. But now, the technology ...

Kunvar Thaman has emerged as a notable name in machine learning circles after his solo-authored paper, Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use, was accepted to ICML ...

Over five billion people worldwide actively engage with AI, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. This conference will explore how digital ...

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate. The ...