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
@IsomorphicLabs
and what it means for biology. 🧵
Google DeepMind's new AI model can predict what interactions between nearly all of the molecules that form the basis of life look like — and that could open roads to new drugs or more resilient crops.
Google DeepMind releases AlphaFold 3
It predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA 🤯
I’m so here for this
"I can't think of a better use case for artificial intelligence than solving hundreds of terrible diseases"
Google DeepMind CEO Demis Hassabis says the AlphaFold AI system has the potential to revolutionize medicine and create "enormous commercial value"
1.8M+ researchers have used
@GoogleDeepMind
’s AlphaFold protein predictions in their work on vaccine development, cancer treatment + more. AlphaFold 3 is the latest breakthrough, predicting the structures + interactions of all of life’s molecules with unprecedented accuracy.
Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial
Congratulations to Google Deep Mind and our partners at Isomorphic Labs for the remarkable development of Alphafold 3 () which now has greatly enhanced ability to model proteins in complex with multiple binding partners including DNA, RNA and small molecule
We're excited to announce
#AlphaFold
3 with
@GoogleDeepMind
in
@Nature
: our new AI model for predicting biomolecule structures with unprecedented breadth and accuracy.
Expanding beyond proteins to tackle DNA, RNA, small molecules to fuel advances in biology & drug design 🧵
AlphaFold 3 is our newest AI model from
@GoogleDeepMind
and
@IsomorphicLabs
that can predict the structure and interaction of all life's molecules with unprecedented accuracy. We hope it will help transform our understanding of the biological world. 🧬
Can deep reinforcement learning enable autonomous
#robots
🤖🦿 to play real-world soccer ⚽️?
Thrilled to share our latest step towards learning multi-agent robot soccer purely with onboard computation and sensing. We're extending prior motion capture
Welcome to
#ICLR2024
in Vienna! 🇦🇹
Our teams will be presenting over 60 research papers and supporting initiatives with partners, including
@QueerInAI
and
@WiMLworkshop
.
Come say hi at our booth! 👋
Heading to
@ICLR_Conf
next week? 🌐
We’ll be presenting our latest research on:
→ Problem-solving agents using natural language instructions
→ Pushing boundaries in vision and coding
→ Advancing foundational learning
Find out more →
#ICLR2024
“We managed to fold, using
#AlphaFold
, in one year all 200 million proteins known to science.” 🔬
Our CEO
@DemisHassabis
joined
@TEDChris
at
#TED2024
to discuss AI for science and creativity, and how we can develop AGI safely and responsibly.
Watch →