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Google DeepMind

@GoogleDeepMind

Oct 16

We’re announcing a research collaboration with @CFS_energy, one of the world’s leading nuclear fusion companies.

Together, we’re helping speed up the development of clean, safe, limitless fusion power with AI. ⚛️

Fusion powers the sun, but here on Earth, one approach involves controlling a super-hot, ionized gas called plasma inside a tokamak machine.

To predict power generation, we need to simulate how heat, electric current and matter flow through the core of a plasma and interact with systems around it. This is where TORAX comes in.

TORAX is our open-source plasma simulator allowing CFS to run millions of virtual experiments to test plans for their tokamak, SPARC.

Using reinforcement learning, we’re now rapidly identifying the most efficient paths for it to generate more power than it consumes - a landmark achievement known as crossing "breakeven."

Read 5 tweets

Google DeepMind

@GoogleDeepMind

Oct 15

Veo is getting a major upgrade. 🚀

We’re rolling out Veo 3.1, our updated video generation model, alongside improved creative controls for filmmakers, storytellers, and developers - many of them with audio. 🧵

🎥 Introducing Veo 3.1

It brings a deeper understanding of the narrative you want to tell, capturing textures that look and feel even more real, and improved image-to-video capabilities.

🖼️ Ingredients to video

Give multiple reference images with different people and objects, and watch how Veo integrates these into a fully-formed scene - complete with sound.

Read 6 tweets

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. 📊

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