Joined June 2008
45 Photos and videos
tom ward retweeted
🤯 Okay, the future of coding is wild. Just spent the last 24h pairing with Claude Code @claudeai & Codex @OpenAI port @GoogleDeepMind official AlphaGenome (JAX) weights to PyTorch. It actually works. Hit strict numerical parity (Max Rel Error < 0.2%) against the official repo.
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tom ward retweeted
We got immersive world simulations before we got GTA 6. I always wanted to revisit the iconic GTA London and now I can put myself in it!! Here’s how I imagine it would look in 2026, built with Genie 3 from @GoogleDeepMind.
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tom ward retweeted
AlphaGenome is our latest & most advanced genomics model published in @Nature today including making the model & weights available to academic researchers. Can’t wait to see what the research community will do with it. Congrats to the team on our newest front cover! #AI4Science
Our breakthrough AI model AlphaGenome is helping scientists understand our DNA, predict the molecular impact of genetic changes, and drive new biological discoveries. 🧬 Find out more in @Nature ↓ goo.gle/4bXlV6y
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tom ward retweeted
Happy to see our AlphaGenome model published in @Nature today and on the cover of this week’s issue. 🧬 AlphaGenome is an AI model for understanding the non-coding genome – the 98% of DNA that's crucial for health and disease but doesn't code for proteins.
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tom ward retweeted
Our breakthrough AI model AlphaGenome is helping scientists understand our DNA, predict the molecular impact of genetic changes, and drive new biological discoveries. 🧬 Find out more in @Nature ↓ goo.gle/4bXlV6y
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Our AlphaGenome paper and models are out today! nature.com/articles/s41586-0…. We have seen great community engagement since we released the API. We hope to open more use cases with the model weights! github.com/google-deepmind/a…
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tom ward retweeted
This is Gemini 3: our most intelligent model that helps you learn, build and plan anything. It comes with state-of-the-art reasoning capabilities, world-leading multimodal understanding, and enables new agentic coding experiences. đź§µ
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tom ward retweeted
Thrilled to introduce AlphaGenome, our new DNA sequence model now available via our AlphaGenome API. Really excited to see how the scientific community uses AlphaGenome’s predictions to understand genome function, drive biological discoveries, develop new treatments, and more...
Introducing AlphaGenome: an AI model to help scientists better understand our DNA – the instruction manual for life 🧬 Researchers can now quickly predict what impact genetic changes could have - helping to generate new hypotheses and drive biological discoveries. ↓
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tom ward retweeted
Happy to introduce AlphaGenome, @GoogleDeepMind's new AI model for genomics. AlphaGenome offers a comprehensive view of the human non-coding genome by predicting the impact of DNA variations. It will deepen our understanding of disease biology and open new avenues of research.
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tom ward retweeted
25 Jun 2025
Today we introduced AlphaGenome, a new tool that can more comprehensively predict the impact of single variants or mutations in DNA 🧬 How, you ask? 🤔 tldr; Our AlphaGenome model takes a long DNA sequence as input, processes that data, and predicts thousands of molecular properties by characterizing its regulatory activity. For the full read ➡️ deepmind.google/discover/blo…
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tom ward retweeted
Introducing AlphaGenome: an AI model to help scientists better understand our DNA – the instruction manual for life 🧬 Researchers can now quickly predict what impact genetic changes could have - helping to generate new hypotheses and drive biological discoveries. ↓
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tom ward retweeted
25 Jun 2025
Excited to share #AlphaGenome, a start of our AlphaGenome named journey to decipher the regulatory genome! The model matches or exceeds top-performing external models on 24 out of 26 variant evaluations, across a wide range of biological modalities.1/6
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tom ward retweeted
Making LLMs run efficiently can feel scary, but scaling isn’t magic, it’s math! We wanted to demystify the “systems view” of LLMs and wrote a little textbook called “How To Scale Your Model” which we’re releasing today. 1/n
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tom ward retweeted
Introducing SIMA: the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual environments and video games. 🕹️ It can complete tasks similar to a human, and outperforms an agent trained in just one setting. 🧵 dpmd.ai/3TiYV7d
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tom ward retweeted
Reinforcement learning typically trains & tests agents on the same game. New work shows how our team trains generally capable agents on huge game spaces, resulting in agents that generalise to held-out test games, & learn behaviours like experimentation dpmd.ai/open-ended-blog 1/
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tom ward retweeted
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon! bit.ly/alphafoldmethods bit.ly/alphafoldgithub
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tom ward retweeted
Our researchers want to create agents that can achieve goals in a wide range of environments. See how they use @Unity3d to construct diverse simulated worlds - providing environments in which multiple simultaneous agents can pursue separate goals: bit.ly/36LZ3UA
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tom ward retweeted
Today we're sharing structure predictions for six proteins associated with the virus that causes COVID-19, generated by the most up-to-date version of our AlphaFold system. We hope this contributes to the research community’s understanding of the virus: deepmind.com/research/open-s…
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tom ward retweeted
Scientists have obtained the first image of a black hole, using Event Horizon Telescope observations of the center of the galaxy M87. The image shows a bright ring formed as light bends in the intense gravity around a black hole that is 6.5 billion times more massive than the Sun
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