Claude Mythos Preview is Anthropic's most powerful AI model that excels at identifying weaknesses and security flaws within ...

Clinical interviewing is one of the most important skills physicians develop during their training. It forms the foundation for accurate diagnosis and effective patient care.

Researchers tested 21 frontier large language models on 29 stepwise MSD Manual clinical vignettes and found that, although many models performed well on final diagnosis, they remained much weaker at ...

Abstract: Knowledge-based Visual Question Answering (VQA) is a challenging task that requires models to access external knowledge for reasoning. Large Language Models (LLMs) have recently been ...

Results: From 18 original interview documents, three themes and 11 subthemes were categorized as follows: (1) driving force of information search (emotion-based information search, ...

Tal Kirschenbaum is the Co-Founder and CEO of Ledge, an AI-native financial close platform that automates the month-end close process for mid-market and enterprise finance teams. Just three years ...

Brooks Nader, the 29-year-old model, reality star and actress, has shared her “forever regret” over one specific cosmetic procedure in a recent exclusive interview. Speaking to People magazine on ...

Abstract: We present a generative predictive control (GPC) framework that amortizes sampling-based Model Predictive Control (SPC) by bootstrapping it with conditional flow-matching models trained on ...

The good news? There will be more. Best-selling author Liane Moriarty has announced “Big Little Truths,” a sequel set 10 years after the events of the first book, is coming on Aug. 25. In an exclusive ...

SAP SE’s Chief Executive Officer Christian Klein is setting up a new unit with hundreds of people to push the adoption of its artificial intelligence features and plans to overhaul how it charges ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence to resource-constrained embedded devices. We ...