Let's say you're reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

As it faces off against larger players, the data labelling startup is doubling down on using human experts to evaluate AI systems.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

By analyzing 30,000 datasets ranging from the distribution of tree species across the United States to bacterial communities living in the human gut, they found that a model called the “powerbend ...

Microsoft said on Monday it would offer new AI models made by Elon Musk's xAI, Meta Platforms and European startups Mistral and Black Forest Labs hosted in its own data centers, and unveiled a new ...

Using machine learning to improve prediction accuracy, this study investigates the use of the Extra Tree (Extremely Randomized Trees) algorithm for heart disease prediction. The research includes data ...

What is Model Context Protocol? The emerging standard bridging AI and data, explained MCP is the key to unlocking AI's full potential in the enterprise, the cloud, and beyond. Here's why.

The link between proximity to greenspace — including trees and parks— and healthy birth outcomes is well established. Now new data from researchers at Drexel University’s Dornsife School of Public ...

Microsoft researchers have developed — and released — a hyper-efficient AI model that can run on CPUs, including Apple's M2.

The model can quickly search documents, whether they are text-based or include images, diagrams, graphs, tables, code, diagrams, or other components. Embedding models help transform complex data ...