12 stories tagged DeepMind
Google DeepMind's AlphaFold 3 is helping scientists design new medicines faster by predicting protein structures and interactions. This breakthrough could accelerate treatments for Alzheimer's, cancer, and other hard-to-target diseases.
DeepMind CEO Demis Hassabis is proposing an independent AI "standards body" modeled after FINRA, to test frontier models and develop best practices for their release. This could shape how powerful AI systems are developed and released in the future.
Three former DeepMind researchers founded EquiLibre Technologies, an AI lab that helps hedge funds make money. The company is now worth over $500 million. This shows how AI is transforming high-stakes financial trading.
AI is creating radio chips with unprecedented efficiency and unusual designs, potentially revolutionizing wireless communication by solving problems engineers couldn't tackle alone.
DeepMind has published a detailed technical roadmap for safely controlling advanced AI agents. The plan addresses security failures, robust monitoring, and human oversight to ensure AI remains beneficial as it evolves.
John Jumper, a Nobel Prize-winning scientist, is moving from Google DeepMind to rival AI company Anthropic. This is part of a larger exodus of talent from DeepMind, as several other key researchers have also left. This shift could impact the future of AI development and competition in the field.
Generic AI models aren't cutting it for Hollywood. The industry needs specialized tools to create engaging content. This shift could change how movies and shows are made in the future.
Google DeepMind has launched Co-Scientist, an AI tool that acts like a team of research assistants. It helps scientists analyze data, write papers, and brainstorm ideas, potentially speeding up scientific discovery.
DeepMind has unveiled an AI co-clinician designed to assist healthcare professionals. This innovation promises to enhance diagnostic accuracy and streamline patient care.
Ineffable Intelligence, founded by former DeepMind researcher David Silver, has secured $1.1 billion in funding. The lab aims to develop AI that learns without relying on human data.
DeepMind has outlined key pitfalls in AI agent development, highlighting risks like goal misalignment and reward hacking. The findings stress the need for robust safety measures in autonomous systems.
A developer alleges to have bypassed Google DeepMind's SynthID watermarking system, raising concerns about the reliability of AI-generated content verification. Google disputes the claims, calling them inaccurate.