Replacing Stateless Retrieval with a Structured Framework for Long-Term Reasoning
The Problem with "Digital Amnesia": Current AI agents rely on shallow retrieval methods that treat memory...
A breakthrough deep-learning model tracks 5,000 fruit fly cells with 90% accuracy, paving the way for early disease detection in human tissues.
A "Dual-Graph" Innovation: MIT...
Google DeepMind's Breakthrough Agent: Evolving from Instruction-Follower to Reasoning Gamer That Masters Complex Tasks in Games Like Space Engineers and Beyond
Advancing AI Reasoning: SIMA...
Unmasking the Lawyers Behind AI's Legal Blunders and Why Small Practices Are Bearing the Brunt
Small Firms Dominate the Drama: Over 90% of AI hallucination...
Revolutionizing Photonics: How Thermodynamics Tames Chaos for Smarter, Faster Optical Systems
A Breakthrough in Self-Guiding Light: Researchers at USC's Ming Hsieh Department of Electrical and...
Mindstate Design Labs harnesses artificial intelligence to engineer safer psychedelics, stripping away hallucinations while preserving therapeutic potential—backed by tech titans and promising a new...
Breaking Barriers in Neuromorphic Computing with Ultra-Fast, Event-Driven Intelligence
Pioneering Photonic Innovation: This breakthrough introduces the first silicon-compatible photonic spiking neural network (PSNN) chip, featuring...
The Tech Giant’s New Tool Outperforms Human Doctors by a Factor of Four
Microsoft’s AI system, MAI-DxO, achieves an 85% accuracy rate in diagnosing complex...
Does ChatGPT Harm Critical Thinking Abilities? A Concerning Look at AI's Impact on Learning
A recent MIT Media Lab study suggests that using ChatGPT for...
How Managing Policy Entropy Could Revolutionize Reinforcement Learning for LLMs
Policy entropy collapse in reinforcement learning (RL) for large language models (LLMs) severely limits exploratory...
How a Multi-Agent System is Automating the Future of Therapeutic Innovation
Robin, the first multi-agent AI system, fully automates the scientific discovery process by integrating...
The First 32B Parameter Model Trained Through Globally Distributed Reinforcement Learning
INTELLECT-2 marks a groundbreaking achievement as the first 32-billion-parameter language model trained using globally...
