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

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 ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Hybrid learning models are emerging as a fundamental tool for student engagement, improving accessibility, and better ...

The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.

Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...