21 stories tagged DeepMind
Google DeepMind released Genie 4, a world model that generates photorealistic interactive worlds with real-time audio, maintains scenes for up to two minutes, and allows users to edit scenes mid-simulation. The model could impact gaming, filmmaking, and robotics testing.
Researchers introduced AlphaDiana, a measurement system for evaluating AI agents by tracking their reasoning, behavior, and resource use. It provides modular interfaces for datasets, agents, environments, and scorers to analyze how different execution conditions affect outcomes.
Google DeepMind's new chief, Koray Kavukcuoglu, confirmed in his first media appearance that Gemini 4 is in its final refinement stage, signaling an imminent release as Google works to catch up with rival AI developers.
Google DeepMind and filmmakers used generative AI to recreate a couple's unrecorded past in the short film 'Love, Rendered,' demonstrating how AI can bring historical memories to life through visual storytelling.
Inherent, a UK AI lab founded by DeepMind alumni, released Faraday, an AI agent that can replicate scientific research papers. In a benchmark test, Faraday outperformed models from Anthropic and OpenAI, marking a step forward for AI-assisted scientific discovery.
Google's 27-year veteran Jeff Dean is leaving to co-found Discovery Loop, while DeepMind CEO Demis Hassabis transitions to chairman. The executive shifts arrive alongside major research reveals from OpenAI and Google.
Google DeepMind's WeatherNext AI model can now predict cyclone paths and intensities up to 3 days earlier than traditional methods. This breakthrough could significantly improve disaster preparedness and response times.
Google DeepMind released Gemini Robotics 2, an AI model that controls entire humanoid robots from feet to fingertips, expanding beyond the previous version's upper-body-only capability.
Google DeepMind has introduced new features to its Gemini API, including 3.6 Flash for faster responses and custom hooks for developers. These updates aim to make AI agents more reliable and production-ready.
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.