MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...