Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
In today's hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to assess if the lesion is at risk of developing into a cancer or if it is ...
A major brain scan study uncovers a hidden, extreme ADHD subtype that could change diagnosis and treatment forever.
By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security.
Data governance frameworks were built for a world where humans created most data, but AI has changed that equation.
As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to ...
Tech Xplore on MSN
Hybrid AI architecture could turn neuromorphic systems into reliable discovery machines
The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, ...
Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...
The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...
As AI becomes a daily work tool, the real risk may not be losing our intelligence—but losing confidence in our own thinking. New research suggests the difference comes down to how actively we engage ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results