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8 articles
Learn to build a vision-language-action system for robotics control, inspired by Google DeepMind's Gemini Robotics 2. This intermediate tutorial demonstrates how to process visual input, interpret natural language commands, and generate robot control signals.
Learn how to set up and use Google's Vertex AI platform to deploy and interact with AI models, gaining hands-on experience with the technology behind companies like Google DeepMind.
Learn how poker-playing AI technology developed by DeepMind researchers is now being used to help hedge funds make smarter investment decisions, showing how AI innovations can transfer across different industries.
Learn about Google DeepMind's Gemma 4 12B, an innovative encoder-free multimodal model that processes vision and audio natively on consumer hardware with only 16 GB VRAM.
Learn how to set up and use Google DeepMind's Vision Banana model for image segmentation and depth estimation tasks.
This article explains how Google DeepMind's AlphaEvolve uses Large Language Models to autonomously evolve game theory algorithms in imperfect information games, outperforming traditional expert-designed methods.
Learn how to set up a robot simulation environment and integrate AI models that can help robots understand and interact with their surroundings, similar to how Agile Robots partners with Google DeepMind.
Google DeepMind researchers have used semantic evolution to create non-intuitive variants of VAD-CFR and SHOR-PSRO algorithms, significantly improving algorithmic convergence in multi-agent reinforcement learning.
