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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.

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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.

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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.

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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.

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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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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. ↓