The five infrastructure gates behind crawl, render, and index

Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

Andrej Karpathy's new open source 'autoresearch' lets you run hundreds of AI experiments a night — with revolutionary implications

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

AI-enabled quantum refinement cracks the code of difficult-to-map proteins

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...
InfoQ

New Research Reassesses the Value of AGENTS.md Files for AI Coding

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...
IEEE

Empowering Educators with AI: A System for Designing Integrated STEM Projects Using Machine Learning and Large Language Models

Abstract: Integrated STEM projects and experiments promote interdisciplinary learning, enhance critical thinking, and prepare students for real-world problem-solving by bridging science, technology, ...
IEEE

Early Detection of Alzheimer's Disease Using Machine Learning Techniques

Abstract: Alzheimer's disease (AD) is a disease of the central nervous system that manifests as dementia and other mental disorders. It's critical to correctly diagnose Alzheimer's disease as well as ...