Google DeepMind

Opening first automated laboratory in UK 2026; partnering with U.S. DOE on Genesis

Science magazine named large language models doing frontier science a runner-up breakthrough of 2025. Within weeks, the prediction became reality: OpenAI's GPT-5.2 solved previously unsolved Erdős mathematics problems in 15 minutes, achieving 40% accuracy on expert-level mathematics that stumped earlier systems.

Updated 3 days ago

Collaborative partner; maintains Montreal research office

In January 2026, a Université de Montréal study of 100,000 people found GPT-4 outscored the average human on a creativity test. The top 10% of humans still beat every model tested.

Updated 3 days ago

Technical leader in mathematical reasoning and multimodal capabilities

OpenAI rolled GPT-6 out to every ChatGPT plan on October 7, after the model first reached paying customers in September. The release adds Intelligent UI: answers can include buttons, charts, forms and mini-apps users click directly in the chat. GPT-6 Sol powers paid plans, GPT-6 Luna handles free and Go tiers.

Updated 3 days ago

Developer of SynthID and the public detector

Google opened its SynthID Detector to the public on October 7, letting anyone upload an image, video, or audio file and check for the invisible watermark embedded in AI-generated media. The tool was previously limited to journalists and researchers. It reads watermarks from Google's AI tools and partners OpenAI, NVIDIA, and Kakao, with Apple support coming soon.

Updated 4 days ago

Competitor with AlphaGenome

Illumina released SpliceAI2 on October 8, an AI model that predicts how DNA variants disrupt RNA splicing. In Genomics England rare disease data it found 17% more disease-relevant splice variants than other models.

Updated 4 days ago

Developer of EmbeddingGemma 2

Google DeepMind released EmbeddingGemma 2 on October 6, a 740-million-parameter model that maps text, code, images, video, and audio into a single 768-dimensional vector space. It runs on a phone or laptop, not a data center.

Updated 6 days ago

Developer of SynthID Bio

Google DeepMind has found a way to stamp AI-designed proteins with a hidden signature, the way a watermark marks a photo. The system, called SynthID Bio, embeds a detectable pattern in both the amino acid sequence and the 3D structure of a protein without changing what it does.

Updated Oct 3

Trained Gemini 4 Argon

Google spent 2026 shipping smaller models while OpenAI and Anthropic held the frontier. On September 30 it answered with Gemini 4 Argon, a flagship built for long, multi-step reasoning across coding, finance, legal work, and cybersecurity, restricted for now to vetted cyber defenders and U.S. government testers.

Updated Oct 1

AlphaEvolve graduated from pilot testing to a core infrastructure tool; recovering 0.7% of global compute; six commercial partners published results via Google Cloud

In May 2025, DeepMind's AlphaEvolve became the first commercial AI to optimize its own training, shaving 23% off a critical computation kernel. A year later it was a product: Google runs it across data centers, chips, and Spanner, and six outside companies had published results.

Updated Sep 27

Expanded materials database, validating predictions through partner labs

Multi-agent AI systems now design, run, and analyze materials experiments with minimal human input. In January 2026, China's Shenzhen Institute of Advanced Technology published MARS, coordinating 19 large language model agents with robots. A September 2026 paper in Nature Machine Intelligence introduced MatBrain, a lightweight system that generated 30,000 candidate crystal structures in 48 hours.

Updated Sep 27

Developer of WeatherNext; open-sourced the models

Google's WeatherNext AI model predicts cyclone paths and intensity a full day earlier than conventional physics-based models—a gain equal to a decade of meteorological progress. The results, published in Nature on September 10, show three-day forecasts matching the accuracy of previous two-day predictions.

Updated Sep 10

Developer and operator of AlphaGenome Atlas

Google DeepMind released AlphaGenome Atlas on Tuesday, a free online database that predicts the effects of all 9 billion possible single-letter changes to human DNA. The 1-petabyte resource, built on the AlphaGenome AI model, is the most complete catalogue of human genetic variation ever built.

Updated Sep 9

Builds the Gemini models; reorganized August 5

A billion people now open Google's Gemini assistant each month. Google said Tuesday the app passed that mark, its 14th product to reach a billion users and, by its own count, the fastest to get there.

Updated Aug 12

Shipping roughly one model per quarter: Gemini 3.1 Pro in February, Gemini 3.5 Flash in May (GA July 14), and Gemini 3.5 Pro expected in July 2026.

When Google launched Gemini 3 Flash in December 2025, it bet that a fast, cheap model could become the default brain of Search, the Gemini app, and developer tooling. That bet compounded. Google shipped Gemini 3.1 Pro in February 2026 and Gemini 3.5 Flash in May; the latter reached general availability on July 14 and is now the default across every major Google surface.

Updated Jul 15

Parent of Isomorphic Labs, which raised $2.1 billion in May 2026 and expects its first AI-designed clinical candidates in human trials by end-2026

In January 2026, Tsinghua University researchers published DrugCLIP in Science, a system that screened 500 million drug compounds against 10,000 human proteins in under 24 hours on eight GPUs. The approach is 10 million times faster than conventional molecular docking, and the results are public in GenomeScreenDB, covering roughly half the human genome.

Updated Jun 27

Fastest-growing rival to ChatGPT in consumer share

ChatGPT receives roughly a billion visits a month, and on May 5 those visitors began talking to a different model by default. OpenAI replaced GPT-5.3 Instant—the everyday workhorse it shipped earlier this year—with GPT-5.5 Instant, a faster system the company says produces 52.5% fewer hallucinated claims on medical, legal, and financial questions. The new model can also pull context from a user's past chats, uploaded files, and Gmail to personalize answers, and it appears in OpenAI's developer interface as 'chat-latest.'

Updated May 31

Former employer of founder; also a backer of the new lab

In April 2026, London AI lab Ineffable Intelligence raised $1.1 billion at a $5.1 billion valuation, the largest seed round in European history. The founder, David Silver, is a University College London professor who led Google DeepMind's AlphaGo and AlphaZero, programs that learned board games entirely through self-play.

Updated May 31

Releasing foundation models for robotics at accelerating pace

For decades, industrial robots have been powerful but rigid. Google DeepMind's Gemini Robotics-ER 1.6, released April 14, 2026, is the latest version of a new approach: it gives robots the flexible reasoning that powers chatbots, tailored to understand and act in physical space. Paired with an agentic vision system, it reads pressure gauges, thermometers, and digital readouts with 98% accuracy—a capability that emerged from collaboration with Boston Dynamics, which deploys the Spot robot in industrial facilities.

Updated May 31

Gemma 4 integrated into Gemini Enterprise Agent Platform at Google Cloud Next 2026; enterprise compliance deployment now generally available

For two years, the most capable artificial intelligence models lived behind paywalls and API meters. Google made that harder to justify on April 2, 2026, when it released Gemma 4: four open models ranging from 2 billion to 31 billion parameters. The models handle text, images, video, and audio under a fully permissive Apache 2.0 license with no usage restrictions. The competitive response was nearly immediate. Meta released Llama 5 just six days later, significantly ahead of its previously signaled Q3 2026 target. Chinese lab DeepSeek followed on April 24 with its V4 model, a 1.6 trillion-parameter system also shipped as open-source under an MIT license. What began as a bilateral licensing contest between Google and Meta has become a six-way open-model race.

Updated May 30

Developer and operator of the AI Co-Scientist

Google released an AI system in February 2025 that proposes original hypotheses and refines them through internal debate among six specialized AI agents. The system reproduced a decade-long Imperial College London study on how antibiotic-resistance genes spread between bacterial species in 48 hours, without accessing their unpublished findings.

Updated May 30

Operating Big Sleep vulnerability agent; reported 20 zero-days by August 2025

For decades, finding security flaws in software has required expensive human experts or pattern-matching tools that miss complex bugs. In five months, all three frontier artificial intelligence labs (OpenAI, Anthropic, and Google) released autonomous agents that read code like a human researcher, discover vulnerabilities traditional scanners miss, and generate patches. On March 6, 2026, OpenAI launched Codex Security in research preview, an agent that scanned 1.2 million code commits in its first month of beta testing and discovered 14 previously unknown vulnerabilities serious enough to receive formal identifiers in OpenSSH, Chromium, and PHP.

Updated May 30

Developer of AlphaFold series; released AlphaFold 4 in March 2026

Determining the three-dimensional shape of a protein used to take a graduate student an entire career. Google DeepMind released AlphaFold 4 in March 2026, extending progress from the original AlphaFold's 2018 win, with the system predicting multi-protein structures in minutes instead of hours or days.

Updated May 30

Developer of AlphaFold, the foundational precedent for biological AI

It took thirteen years and $2.7 billion to read the first human genome. Now a single AI model, trained on 9 trillion DNA base pairs from more than 128,000 species, can predict whether an uncharacterized mutation in a breast cancer gene is dangerous with 90 percent accuracy without being trained on that gene.

Updated May 30

Developed AlphaProof and AlphaEvolve systems contributing to mathematical discovery

For the first time, AI systems are independently solving mathematical problems that stumped human researchers for decades. Since Christmas 2025, 15 legendary Erdős problems have moved from 'open' to 'solved'—11 by AI, including the first on January 6, 2026, from OpenAI's GPT-5.2 Pro and Harmonic's Aristotle theorem prover.

Updated May 29

Developer of Gemini model family

OpenAI launched the first commercial reasoning model in September 2024. Seventeen months later, Google's upgraded Gemini 3 Deep Think pulled ahead on the benchmarks that matter most for science.

Updated May 29

Released AlphaGenome source code for non-commercial use

For twenty years after scientists sequenced the human genome, 98% of it remained essentially unreadable. The protein-coding genes were mapped, but the vast regulatory regions—the genome's operating system—stayed opaque. On January 28, 2026, Google DeepMind released the full source code for AlphaGenome, an artificial intelligence model that predicts how genetic variants in these non-coding regions affect gene regulation and disease.

Updated May 26

Builder of Gemini

Sundar Pichai opened Google I/O 2026 with a Gemini model that can run a user's desktop. The keynote unveiled Android XR smart glasses too. Aluminium OS, a laptop platform merging Android and ChromeOS, will ship as 'Googlebooks' from Acer, ASUS, Dell, HP, and Lenovo.

Updated May 19