Researchers have developed a machine learning model that predicts an individual's risk of hepatocellular carcinoma using routine clinical information already collected during standard medical visits.
A new compression technique from Google Research could make AI models cheaper to run, faster to respond, and capable of handling much longer conversations.
Moonshot AI's Kimi Team has published a technical report proposing a change to a fundamental component of modern AI models called residual connections.
Gemini Deep Think is being used to assist with research-level problems in mathematics, computer science, physics, and economics.
A new study from MIT researchers argues that some popular platforms used to rank large language models can be far mor...
A machine-learning model uses picture ratings to predict substance use disorder behaviors.