The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

"Loudly proclaim how dangerous AI is, and investors will hear how powerful it is." The post Suspicion Grows About OpenAI’s ...

A machine learning-based equation may estimate low-density lipoprotein cholesterol as accurately as the widely validated ...

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients ...

Quantum computing and AI are among the most rapidly developing modern technologies. AI, in the form of machine learning, has been deployed for decades to recommend movies and TV shows and make it ...

Michael A. Gold of Jeffer Mangels & Mitchell LLP discusses AI-native security incidents, a new category of incident in which AI systems become the target of compromise, and the challenges presented to ...

Frontier AI model safety guardrails impeded Hugging Face’s analysis of attack evidence, forcing it to rely on an open-weight ...

Enterprises will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably ...

Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...

A VB Pulse survey of 101 enterprises found most AI agent errors trace to missing context. Credible raised $10M to build a portable, open-source alternative.

If you ask us in an official setting, our official position is that software engineering norms still apply. Rigorous CI/CD ...