Vinicius Zambaldi

AI research at Google DeepMind - Protein Design

[Vinicius Zambaldi @fzvinicius]

Thrilled to introduce AlphaProteo, our first generative AI for protein design! We trained diffusion models on millions of AlphaFold predictions to design novel and high-affinity protein binders. We look forward to collaborating with researchers on future bio/health breakthroughs.

[Google DeepMind @GoogleDeepMind]

We’re presenting AlphaProteo: an AI system for designing novel proteins that bind more successfully to target molecules. 🧬

It could help scientists better understand how biological systems function, save time in research, advance drug design and more. 🧵 https://t.co/lx35RvplFr

[Pushmeet Kohli @pushmeet]

Very happy to announce that our team @GoogleDeepmind has pushed the boundaries of generative biology, achieving the successful synthesis of AI-designed proteins that are both functional and watermarked.

This proof-of-concept watermarking of the building blocks of life is enabled by SynthID Bio, our new protein watermarking method. It is designed to safeguard the new era of AI-powered generative biology and strengthen global biosecurity.

You can read my thoughts here on why watermarking AI-designed proteins is an important research breakthrough: https://t.co/dfoSdh8ynz

[Google DeepMind @GoogleDeepMind]

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 biology, and science itself. 🧬

[Zach Wu @ZvxyWu]

Very happy to share our protein binder design system!

[Alex Chu @alexechu_]

Really excited to finally share a little of what we've been working on the last few years! using a new generative model we designed binders against seven targets that reach low-nano/picomolar affinity.

[Demis Hassabis @demishassabis]

Thrilled to announce the launch of a new Alphabet company @IsomorphicLabs. Our mission is to reimagine the drug discovery process from first principles with an AI-first approach, to accelerate biomedical breakthroughs and find cures for diseases. Details: https://t.co/WQrG36ddgZ

[Demis Hassabis @demishassabis]

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!

https://t.co/6uiV51Xly5
https://t.co/CLo7EKubBT

[Vinicius Zambaldi @fzvinicius]

@bscholl MIT's Pathway to Fusion Energy by Zach Hartwig is the best video I've seen on the state of fusion power research. He talks about fuel, reactors, recent progress and future directions: https://t.co/wuCU6C8hVr

[Google DeepMind @GoogleDeepMind]

Can artificial agents understand space the way animals do? Our researchers propose a model that transforms visual experience into the spatial representations found in the hippocampal formation: https://t.co/FwxHeZue2V

[Google DeepMind @GoogleDeepMind]

In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)

[SpaceX @SpaceX]

Liftoff!

[Google DeepMind @GoogleDeepMind]

We're excited to release OpenSpiel: a framework for reinforcement learning in games. It contains over 25 games, and 20 algorithms, including tools for visualisation and evaluation.

GitHub: https://t.co/RKMqy3olet
Paper: https://t.co/gVaCu7PCLQ

[Demis Hassabis @demishassabis]

Really excited to see this health research published in @nature - it’s a huge achievement for the team, and a great example of using machine learning and AI for positive impact.

[khipu.ai @Khipu_AI]

Hello world! We are happy to announce the first edition of Khipu: Latin American Meeting in Artificial Intelligence in November, in Montevideo, Uruguay.

Outstanding set of speakers. Applications now open for ALL!

Apply and see details in https://t.co/ZLlAg4B29t #khipu2019

[Demis Hassabis @demishassabis]

The complex real-time strategy game StarCraft II is a long-standing grand challenge for AI - excited to show our progress on Thurs, you’ll definitely want to tune in to the livestream! :-) #StarCraft2

[Murray Shanahan @mpshanahan]

Pleased this @DeepMindAI paper got into #ICLR2019 - "Deep reinforcement learning with relational inductive biases". One of my favourite strands of recent work on bringing relations into deep learning. Privileged to be a co-author - https://t.co/SmSEIzKYKi

[Adam Santoro @santoroAI]

Also accepted, in collaboration with many @DeepMindAI colleagues:

Deep reinforcement learning with relational inductive biases (@fzvinicius, @dnraposo et al):

https://t.co/wP98DYFqep

Hyperbolic Attention Networks, (@caglarml et al):

https://t.co/VdRhKLxGaY

[Pedro A. Ortega @AdaptiveAgents]

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments https://t.co/Xa5zmUyxvy