Heading to @ICLR_Conf next week? 🌐

We’ll be presenting our latest research on:
→ Problem-solving agents using natural language instructions
→ Pushing boundaries in vision and coding
→ Advancing foundational learning

Find out more → dpmd.ai/ICLR24 #ICLR2024

“We managed to fold, using #AlphaFold , in one year all 200 million proteins known to science.” ‍🔬

Our CEO @DemisHassabis joined @TEDChris at #TED2024 to discuss AI for science and creativity, and how we can develop AGI safely and responsibly.

Watch →
dpmd.ai/4a3fVEI

🎥 Explore Gemini 1.5 Pro's ability to analyze videos using image frames.

Dive into this notebook for a fun demonstration! ↓ goo.gle/3UlzoKZ

Quickly start your chat with Gemini using the new shortcut in the Chrome desktop address bar👇

Step 1: Type “@” in the desktop address bar and select Chat with Gemini
Step 2: Write your prompt
Step 3: Get your response on gemini.google.com

Seriously. It’s that easy ✨

My first time on the TED Talks stage was a really fun experience. Chris Anderson and I had a great conversation about the ways AI will accelerate scientific discovery and help us solve the biggest problems facing humanity, from tackling cancer to climate: ted.com/talks/demis_ha…

🔮 New Google DeepMind paper exploring what persuasion and manipulation in the context of language models. 👀

Existing safeguard approaches often focus on harmful outcomes of persuasion. This research argues for a deeper examination of the process of AI persuasion itself to…

1. What are the ethical and societal implications of advanced AI assistants? What might change in a world with more agentic AI?

Our new paper explores these questions:
storage.googleapis.com/deepmind-media…

It’s the result of a one year research collaboration involving 50+ researchers… a🧵

Excited to share Penzai, a JAX research toolkit from Google DeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere.

Check it out on GitHub: github.com/google-deepmin…

'One of the most exciting things that AI can do for humanity is advancing our ability to create new technologies.”

At #FortuneAI , our VP of Research Zoubin Ghahramani explained how AI models could accelerate scientific discovery.

Researchers at Google DeepMind used deep reinforcement learning to train humanoid bipedal robots to play agile one-on-one soccer with each other.

Read more in Science Robotics: scim.ag/6Bb

New research from Google DeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) science.org/doi/10.1126/sc…