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Google DeepMind

@GoogleDeepMind

Nov 17

Weather affects everything and everyone. Our latest AI model developed with @GoogleResearch is helping us better predict it. ⛅

WeatherNext 2 is our most advanced system yet, able to generate more accurate and higher-resolution global forecasts. Here’s what it can do - and why it matters 🧵

A core challenge in weather prediction is capturing the full range of outcomes.

With WeatherNext 2, we can explore hundreds of possibilities in less than a minute from a single starting point. This would require hours on a supercomputer using physics-based models.

The model’s improved performance is enabled by a new approach called a Functional Generative Network, which can generate the full range of possible forecasts in a single step.

We added targeted randomness directly into the architecture, allowing it to explore a wide range of sensible weather scenarios.

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Google DeepMind

@GoogleDeepMind

Nov 13

SIMA 2 is our most capable AI agent for virtual 3D worlds. 👾🌐

Powered by Gemini, it goes beyond following basic instructions to think, understand, and take actions in interactive environments – meaning you can talk to it through text, voice, or even images. Here’s how 🧵

Advanced reasoning 🧠

We trained SIMA 2 to achieve high-level goals in a wide array of games – allowing it to perform complex reasoning and independently plan how to accomplish tasks.

It acts like a collaborative partner that can explain its intentions and answer questions about its behavior.

Generalization ☂️

SIMA 2 is now far better at carrying out detailed instructions, even in worlds it's never seen before.

It can transfer learned concepts like “mining” in one game and apply it to “harvesting” in another – connecting the dots between similar tasks.

It even navigated unseen environments created in real-time by our Genie 3 model.

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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.

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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.

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