MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

I am a Computer Science (AI) graduate with a strong foundation in Python, machine learning, and software development, with a focus on building practical, end-to-end systems. I recently completed my ...

Abstract: In the process of data exchange, we assert that the needs of data users should be prioritized and clearly articulated for a trustworthy data marketplace. Here, we present a case study on ...

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.

With over a decade of experience reporting on consumer technology, James covers mobile phones, apps, operating systems, wearables, AI, and more.

The AI Fairness and Explainability Toolkit is an open-source platform designed to evaluate, visualize, and improve AI models with a focus on fairness, explainability, and ethical considerations.