Share this page!

Enter URL or ID to Unroll

You can paste full URL like: https://x.com/threadreaderapp/status/1644127596119195649
or just the ID like: 1644127596119195649

How to get URL link on X (Twitter) App

  1. On the Twitter thread, click on or icon on the bottom
  2. Click again on or Share Via icon
  3. Click on Copy Link to Tweet
  4. Paste it above and click "Unroll Thread"!
  5. More info at Twitter Help
Google DeepMind Profile picture
@GoogleDeepMind
Mar 9, 2022 • 7 tweets • 5 min read • Read on X
Scrolly
Congratulations to @demishassabis, John Jumper, and David Baker who will be awarded the Wiley Foundation 20th annual Wiley Prize in Biomedical Sciences on April 1: dpmd.ai/Wiley-Prize 🧵 1/7
Demis and John accept the award on behalf of the @DeepMind team who worked on #AlphaFold, which was recognised as a solution to the “protein folding problem” at CASP14 in Nov 2020: dpmd.ai/casp14_blog 2/7
From the start, we committed to giving broad access to our work and, in July 2021, we published our methods in @Nature along with the open source code.

Paper: dpmd.ai/alphafold-meth…
Open Source: dpmd.ai/alphafold-gith… 3/7 Image
A week later, we launched the AlphaFold Protein Structure Database, in partnership with @emblebi - more than doubling the number of high-accuracy human protein structures available. Over 400,000 researchers have already used it: dpmd.ai/alphafolddb 4/7
In October 2021 we launched AlphaFold-Multimer, which properly accounts for multi-chain proteins (complexes): dpmd.ai/alphafold-mult… 5/7 Image
And in January 2022 we added 27 new proteomes (190k+ proteins) to the database, 17 of which represent Neglected Tropical Diseases that continue to devastate the lives of more than 1 billion people globally: dpmd.ai/NTD 6/7 Image
A huge congratulations to the whole team who made this breakthrough happen! Check out our AlphaFold timeline for further info: dpmd.ai/AFtimeline 7/7 Image

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with Google DeepMind

Google DeepMind Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @GoogleDeepMind

Google DeepMind Profile picture
Jun 17
We're sharing progress on our video-to-audio (V2A) generative technology. 🎥

It can add sound to silent clips that match the acoustics of the scene, accompany on-screen action, and more.

Here are 4 examples - turn your sound on. 🧵🔊 dpmd.ai/v2a
✍️ Prompt for audio: “Wolf howling at the moon.”
✍️ Prompt for audio: “A slow mellow harmonica plays as the sun goes down on the prairie.”
Read 5 tweets
Google DeepMind Profile picture
May 21
Our video generation model Veo gives more control over the camera. 📹

You can prompt for:
🔘 Extreme close up
🔘 Slow-motion crane shots
🔘 Timelapses

And more. 🧵

✍️ Prompt: “Timelapse of the northern lights dancing across the Arctic sky, stars twinkling, snow-covered landscape.”
✍️ Prompt: “A panning shot of a waterfall cascading down a rocky cliff, lush greenery surrounding the falls, mist rising from the crashing water.”
✍️ Prompt: “A fast-tracking shot down an suburban residential street lined with trees. Daytime with a clear blue sky. Saturated colors, high contrast.”
Read 6 tweets
Google DeepMind Profile picture
May 14
Introducing Veo: our most capable generative video model. 🎥

It can create high-quality, 1080p clips that can go beyond 60 seconds.

From photorealism to surrealism and animation, it can tackle a range of cinematic styles. 🧵 #GoogleIO
✍️ Prompt: “Many spotted jellyfish pulsating under water. Their bodies are transparent and glowing in deep ocean.”
✍️ Prompt: “Timelapse of a water lily opening, dark background.”
Read 10 tweets
Google DeepMind Profile picture
May 8
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. 🧵 dpmd.ai/3URDiNo
AlphaFold 3 can generate the 3D structures of proteins, DNA, RNA, and smaller molecules, while also revealing how they fit together. 🧩

It can also model chemical changes to them that control the healthy functioning of cells - and when disrupted, could lead to disease.
We have also launched AlphaFold Server, a free platform that scientists around the world can use for non-commercial research. 🔬

They can harness AlphaFold 3’s predictions and test hypotheses with just a few clicks - no matter their technical expertise. → alphafoldserver.com
Read 6 tweets
Google DeepMind Profile picture
Mar 19
We're announcing TacticAI: an AI assistant capable of offering insights to football experts on corner kicks. ⚽

Developed with @LFC, it can help teams sample alternative player setups to evaluate possible outcomes, and achieves state-of-the-art results. 🧵 dpmd.ai/49PGq1b
📊 Corner kicks can be challenging for AI to model due to the limited availability of data - @premierleague matches only average about 10 a game.

TacticAI uses a geometric deep learning approach to tackle this problem. → dpmd.ai/43p5Gcc
🔍 Analysts need to rewatch many game replays to study rival teams and design future tactics.

TacticAI can help by automatically computing numerical representations of players, allowing them to efficiently look up relevant past routines. ↓ dpmd.ai/49PGq1b
Read 6 tweets
Google DeepMind Profile picture
Feb 15
Introducing Gemini 1.5: our next-generation model with dramatically enhanced performance. It also achieves a breakthrough in long-context understanding.

The first release is 1.5 Pro, capable of processing up to 1 million tokens of information. 🧵 dpmd.ai/3SEbw4p
Gemini 1.5 was designed using a new Mixture–of-Experts (MoE) architecture, making it much more efficient to train and serve.

When tested on a set of text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of benchmarks used for developing our LLMs.
Through a series of machine learning innovations, Gemini 1.5 Pro now has the longest context window of any large-scale foundation model yet.

The bigger the context window, the more information it can take in from a prompt — making its output more consistent, relevant and useful. Static image with text saying: "Introducing Gemini 1.5 Pro."
Read 9 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

Send Email!

:(