🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

We're hiring a research scientist to join our Quantum Chemistry and Materials team ⚛️🚨 The team is working on using machine learning to better our understanding of the universe, down at the level of quantum physics. See: deepmind.com/blog/simulatin… Share: boards.greenhouse.io/deepmind/jobs/…

Really excited to see this out and proud for the incredible team. Hope the prediction scores could be helpful for geneticists and assay scientists. The problem is not solved, looking forward to see more models tackling this important challenge.

The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses blog.google/technology/ai/…

In our latest work spearheaded by Khyati Dalal Khyati Dalal , we use interpretable deep learning of genomic sequence information to tackle a long-standing question: How do signaling pathways regulate transcription in a cell-type-specific fashion? (biorxiv.org/cgi/content/sh…) (1/8)

📢 MIA Spring ’24 Speaker Series ⏰ March 13th Wednesday, 9AM ET 💬 Žiga Avsec (Žiga Avsec) and Jun Cheng (@jun90cheng) from Google Deepmind 💡Primer and seminar on: Alpha Missense: proteome-wide variant effect prediction (deepmind.google/discover/blog/…)

We have received lots of interest in AlphaMissense, the @GoogleDeepmind model predicting the probability of a missense variant being pathogenic, since its release in September. Today we are updating the license terms for AlphaMissense predictions to also allow for commercial use.

Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with Isomorphic Labs and what it means for biology. 🧵 dpmd.ai/3URDiNo

Very excited to see AlphaMissense scores integrated Ensembl, UniProt & the AlphaFold database. Great work by EMBL-EBI on the interactive visualisations - love the interactive heatmap in AFDB.

AlphaMissense predictions are now more easily accessible thanks to the great work of EMBL-EBI! On AFDB you can also download per protein predictions.

New preprint: sequence-based models are very good at predicting human protein missense variants with an impact on function. Here we use AlphaFold2 models to infer mechanisms of effect of deleterious variants (stability, pockets and protein interfaces) biorxiv.org/content/10.110…

Advanced mathematical reasoning is a critical capability for modern AI. Today we announce a major milestone in a longstanding grand challenge: our hybrid AI system attained the equivalent of a silver medal at this year’s International Math Olympiad!

Solving International Maths Olympiad (IMO) level problems has been a grand challenge for AI systems. Happy to share that a new solver (AlphaProof) developed by our team Google DeepMind and our geometry solver (AlphaGeometry) were able to solve 4 out the 6 IMO 2024 problems!

🧵 1/9 Delighted to announce that #DeepRVAT is out today in Nature Genetics! Here's a recap of our tweetorial from the preprint, with updates for some exciting new results. It's been a joy to work with Eva Holtkamp, as well as gagneurlab and Oliver Stegle.

Really pleased to see DeepRVAT published. A new method for rare variant genetics by Eva Holtkamp & Brian Clarke in collab with gagneurlab. I like to think of DeepRVAT as one network on top of another, harnessing variant annotations from bags of models- AlphaMissense and alike.

Huge congratulations to @DemisHassabis and John Jumper on being awarded the 2024 Nobel Prize in Chemistry for protein structure prediction with #AlphaFold, along with David Baker for computational protein design. This is a monumental achievement for AI, for computational

If AlphaFold was proof of AI’s potential, it is now also prelude – to a future of incredible progress, driven by AI, shaped by human ingenuity, and guided by a collective sense of responsibility and safety. Massive congrats to Demis Hassabis and John on winning the Nobel Prize!

Excited to share our latest preprint, as part of ENCODE4, on a consensus variant-to-function (cV2F) score for functionally prioritizing variants for complex disease - led by Tabassum Fabiha and co-mentored with Alkes Price. biorxiv.org/content/10.110…

I’m excited to co-host the new #AIxBio conference alongside Žiga Avsec, Noelia Ferruz, Patrick Hsu, Ben Lehner, mary jane, Debora Marks, Tingying Peng, @CarolineUhlerat at Wellcome Genome Campus/ Wellcome Sanger Institute! We’ll focus on modellingz and designing DNA, RNA, proteins, and cells, as well as