Company intelligence
Google DeepMind
We're committed to solving intelligence, to advance science and benefit humanity.
About Google DeepMind
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
Verified activity
Signals from Google DeepMind
80 published signals
Products & Services
Google DeepMind released AlphaGenome Atlas, an AI-powered database mapping genetic variants that impact human health, over 30 times larger than the AlphaFold Database and featuring over 10,000 predictions per variant across multiple biological modalities and tissue types.
Reported by Google DeepMind
Products & Services
Google DeepMind introduced the AlphaGenome Variant Impact (AVI) score, combining predictions from AlphaGenome and AlphaMissense to rank the most impactful variants and pinpoints biological mechanisms.
Reported by Google DeepMind
Products & Services
Google DeepMind released AlphaGenome Atlas, a catalogue of all 9 billion single letter human DNA variants and their effects on biology and health.
Reported by Anna Koivuniemi
Research & Knowledge
Google DeepMind is part of the AlphaGenome Atlas project.
Reported by Inês Ayer
Research & Knowledge
Google DeepMind announced that Monta AI used AI to solve real-world construction engineering problems.
Reported by Aman Chadha
Presence & Recognition
Google DeepMind is presenting 360Anything at the ECCV2026 conference in Malmö.
Reported by Saurabh Saxena
Research & Knowledge
Google DeepMind tested 27 candidate languages across 12 diverse models, two of them analyzed through pretraining at EMNLP 2026.
Reported by Badr AlKhamissi
Products & Services
Google DeepMind launched AlphaGenome Atlas, a searchable 1-petabyte database mapping the molecular effects of all 9 billion single-letter DNA changes in the human genome.
Reported by Philipp Schmid
Research & Knowledge
Google DeepMind, TAHMO_World, AfriClimate AI, and 1,500+ data scientists built ML models to correct drift and flag broken solar sensors in the Zindi challenge for sub-Saharan Africa
Reported by Elinor Kruse
Presence & Recognition
Google DeepMind will be in full swing for the next few months starting on the ground in London for the DevX team.
Reported by Umar Noor
Presence & Recognition
Google DeepMind attended the JAPAC SMB Partner Forum in Singapore to share updates on building Gemini with Google Cloud SMB partners.
Reported by Paige Bailey
Products & Services
Google DeepMind released AlphaGenome Atlas, a genome-wide platform providing precomputed predictions for the regulatory effects of all ~9 billion possible single-letter changes.
Reported by Kyle Taylor
Products & Services
Google DeepMind released AlphaGenome Atlas, a genome-wide platform providing precomputed predictions for the regulatory effects of all ~9 billion possible single-letter changes.
Reported by Kyle Taylor
Presence & Recognition
Google DeepMind employee Markus Wulfmeier attended the ETH Zürich Reliable ML team event last week.
Reported by Markus Wulfmeier
Products & Services
Google DeepMind released the AlphaGenome Atlas agent skill, allowing AI agents to autonomously query AVI scores and feature attributions with support for raw predictions and motifs.
Reported by Natasha Latysheva
Research & Knowledge
Google DeepMind released AlphaGenome Atlas, a dataset predicting 9 billion single-nucleotide variants and a dedicated web portal.
Reported by Natasha Latysheva
Research & Knowledge
Google DeepMind published a project that enabled links between variants and important proteins including PLA2G7 linked to aging.
Reported by Hoi Lam
Partnerships
Google DeepMind officially selected 16 visionary organizations across Asia-Pacific for the inaugural Google DeepMind Accelerator: AI for the Planet cohort.
Reported by Anna Koivuniemi
Research & Knowledge
Google DeepMind announced that WeatherNext 3 is the most advanced and accurate global weather model ever made, developed as a collaboration between Google DeepMind and Google Research.
Reported by Andy Hopkinson
Products & Services
Google DeepMind published the ebook version of An Illustrated Guide to AI Agents, featuring over 300 illustrations and code for building an Agent from scratch.
Reported by Maarten Grootendorst
Products & Services
Google DeepMind launched Lyria 3.5 in Google Flow Music, extending access across the Gemini app, Google Flow Music, and Google DeepMind.
Reported by Myriam Hamed Torres
Presence & Recognition
Google DeepMind employee Gabriele Berton is attending the ECCV conference at the ILR+G workshop on September 8, the Video4Real workshop on September 9, and the TIPSv2 demo at Google Booth on September 10.
Reported by Gabriele Berton
Research & Knowledge
Google DeepMind announced EXIMO, a project led by Bhavy where harnesses are created and optimized using imitation learning and reinforcement learning.
Reported by Markus Wulfmeier
Research & Knowledge
Google DeepMind reported that 1B Gemma downloads equate to 1B chances someone builds something no one on the research and engineering teams ever dreamed of.
Reported by Paige Bailey