For a quarter century, cosmology has rested on a simple but audacious idea: that a fixed “cosmological constant” drives the ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Abstract: Extensive surveys on explanations that are suitable for humans, claims that an explanation being contrastive is one of its most important traits. A few methods have been proposed to generate ...

Abstract: The diffusion model has achieved excellent performance in natural image processing, which can learn the noise distribution through the degradation and restoration processes. However, the ...

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...