Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...
Discover the world of Recursive Self-Improvement (RSI) in AI. From I.J. Good's intelligence explosion to modern self-healing code and clinical applications, explore who is developing it, how it works, ...
Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...
Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.
MIT researchers created a model that suggests promising ways to synthesize new materials for faster experimentation.
Anthropic's Project Panama involved cutting and scanning millions of books for AI training. This method aimed for speed and ...
AI agents interacting on Moltbook, a social network, have developed a shared religion-like framework called Crustafarianism.
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
A new study published in the journal Mindfulness has found that high-precision brain training can help novice meditators ...
OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, shifting software development from writing code to managing autonomous tasks and ...
Scott Brinker on why AI agents are now real, what breaks without data readiness, how MarTech stacks are evolving, and why 2026 will be a pivotal year for marketers.