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Google DeepMind

@GoogleDeepMind

Sep 18

We’re announcing a major advance in the study of fluid dynamics with AI 💧 in a joint paper with researchers from @BrownUniversity, @nyuniversity and @Stanford.

Equations to describe fluid motion - like airflow lifting an airplane wing or the swirling vortex of a hurricane - can sometimes "break," predicting impossible, infinite values.

These "singularities" are a huge mystery in mathematical physics.

We used a new AI-powered method to discover new families of unstable “singularities” across three different fluid equations.

A clear and unexpected pattern emerged: as the solutions become more unstable, one of the key properties falls very close to a straight line.

This suggests a new, underlying structure to these equations that was previously invisible.

Read 4 tweets

Google DeepMind

@GoogleDeepMind

Sep 4

We’re helping to unlock the mysteries of the universe with AI. 🌌

Our novel Deep Loop Shaping method
published in @ScienceMagazine could help astronomers observe more events like collisions and mergers of black holes in greater detail, and gather more data about rare space phenomena. 🧵

Astronomers already know a lot about the smallest and largest black holes. ⚫

But we have limited data on intermediate-mass black holes, and the observatories we use to measure their gravitational waves need improved control, and expanded reach. ↓ goo.gle/47oalza

⚡This is where Deep Loop Shaping comes in.

Developed in collaboration with @LIGO Laser Interferometer Gravitational-Wave Observatory, @CalTech and the Gran Sasso Science Institute, it reduces noise and improves control in an observatory’s feedback system - helping stabilize components used for measuring gravitational waves.

Read 8 tweets

Google DeepMind

@GoogleDeepMind

Aug 26

Image generation with Gemini just got a bananas upgrade and is the new state-of-the-art image generation and editing model. 🤯

From photorealistic masterpieces to mind-bending fantasy worlds, you can now natively produce, edit and refine visuals with new levels of reasoning, control and creativity.

A quick dive into Gemini 2.5 Flash’s capabilities 🧵

🎯 Character consistency

Give the model reference images and it can produce new visuals that maintain a character, subject or object’s likeness across different poses, lighting, environments or styles - helping you create more compelling, narrative-driven work.

🔄 Design application

Looking to apply a specific artistic style, design, or texture? 2.5 Flash can now easily transfer this from one image to another while preserving the previous subject's form and details.

Read 6 tweets

Google DeepMind

@GoogleDeepMind

Jul 23

Our new state-of-the-art AI model Aeneas transforms how historians connect the past. 📜

Ancient inscriptions often lack context – it's like solving a puzzle with 90% of the pieces lost to time. It helps researchers interpret and situate inscriptions in their past context. 🧵

By transforming each ancient text into a unique historical fingerprint, Aeneas can identify similarities across 176,000 Latin inscriptions.

In our study, historians found these ‘parallels’ to be helpful research starting points 9 out of 10 times - improving their confidence by 44%.

We tested Aeneas on the Res Gestae Divi Augusti – one of the most debated inscriptions.

Without prior knowledge, it successfully mapped out the leading scholarly theories on its dating, showing how AI can help model history in a quantitative way. 📊

Read 4 tweets

Google DeepMind

@GoogleDeepMind

Jun 24

We’re bringing powerful AI directly onto robots with Gemini Robotics On-Device. 🤖

It’s our first vision-language-action model to help make robots faster, highly efficient, and adaptable to new tasks and environments - without needing a constant internet connection. 🧵

What makes this new model unique?

🔵 It has the generality and dexterity of Gemini Robotics - but it can run locally on the device
🔵 It can handle a wide variety of complex, two-handed tasks out of the box
🔵 It can learn new skills with as few as 50-100 demonstrations

From humanoids to industrial bi-arm robots, the model supports multiple embodiments, even though it was pre-trained on ALOHA - while following instructions from humans. 💬

These tasks may seem easy for us but require fine motor skills, precise manipulation and more. ↓

Read 5 tweets

Google DeepMind

@GoogleDeepMind

Jun 17

Hot Gemini updates off the press. 🚀

Anyone can now use 2.5 Flash and Pro to build and scale production-ready AI applications. 🙌

We’re also launching 2.5 Flash-Lite in preview: the fastest model in the 2.5 family to respond to requests, with the lowest cost too. 🧵

2.5 Flash-Lite now supports:

🔹Thinking: improving performance and transparency through step-by-step reasoning
🔹Tool-use: including Search, code execution and 1 million token context window - similar to 2.5 Flash and Pro

⚡ 2.5 Flash-Lite is our most cost efficient model yet - and with lower latency than 2.0 Flash-Lite and Flash on a broad sample of prompts.

It also has all-around, higher quality than 2.0 Flash-Lite on coding, math, science, reasoning and multimodal benchmarks.

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