Posts

How undesired goals can arise with correct rewards

As we build increasingly advanced artificial intelligence (AI) systems, we want ...

Discovering novel algorithms with AlphaTensor

In our paper, published today in Nature, we introduce AlphaTensor, the first art...

Fighting osteoporosis before it starts

Detecting signs of disease before bones start to break

Understanding the faulty proteins linked to cancer and ...

Helping uncover how protein mutations cause diseases and disorders

Solving the mystery of how an ancient bird went extinct

Creating a tool to study extinct species from 50,000 years ago

Building safer dialogue agents

In our latest paper, we introduce Sparrow – a dialogue agent that’s useful and r...

Targeting early-onset Parkinson’s with AI

Predictions that pave the way to new treatments

How our principles helped define AlphaFold’s release

Our Operating Principles have come to define both our commitment to prioritising...

Maximising the impact of our breakthroughs

Colin, CBO at DeepMind, discusses collaborations with Alphabet and how we integr...

In conversation with AI: building better language models

Our new paper, In conversation with AI: aligning language models with human valu...

From motor control to embodied intelligence

Using human and animal motions to teach robots to dribble a ball, and simulated ...

Advancing conservation with AI-based facial recognition...

We came across Zindi – a dedicated partner with complementary goals – who are th...

Discovering when an agent is present in a system

We want to build safe, aligned artificial general intelligence (AGI) systems tha...

Introducing Gemini 2.5 Flash

Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers th...

Generate videos in Gemini and Whisk with Veo 2

Transform text-based prompts into high-resolution eight-second videos in Gemini ...

DolphinGemma: How Google AI is helping decode dolphin c...

DolphinGemma, a large language model developed by Google, is helping scientists ...

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