Articles about Embodied AI in Technology & AI
We're moving beyond language models. AI is learning to understand the physical world, and it's a huge deal for robotics. Let's break down what "world models" are, plus get you caught up on the Apple vs. OpenAI drama and more.
Ever feel like your life is becoming training data? You're not wrong. We're breaking down why robotics companies want to watch you microwave lunch, what scientists are finding under the North Pole's melting ice, and the AI news that actually matters.
Ever wonder how robots see the world and decide what to do next? Let's pull back the curtain and build a simple AI agent from scratch that learns to navigate its world just by looking at pixels. No complex libraries, just pure concepts.
Remember that old ping-pong ball machine? This isn't it. Meet Ace, an AI-powered robot that doesn't just serve balls—it rallies, strategizes, and will probably beat you.
Ever wondered how a robot sees the world and decides what to do next? We're going hands-on with MolmoAct, an AI model that reasons about depth, traces trajectories, and predicts actions from images. Let's build it together.
For years, we thought automation was the final answer for manufacturing. But as challenges grow, it's clear we need something more. Enter physical AI—intelligence that can see, think, and act in the real world, turning factories into truly smart environments.
Forget passive text-to-video. Robbyant's LingBot-World is a new open-source AI that generates interactive worlds you can control in real-time. We break down how this "world model" works and why it's a huge step for embodied AI and gaming.
Remember those incredible Boston Dynamics robots? Well, they're getting a massive brain upgrade from Google's Gemini AI. Let's talk about what this means for the future of work and robotics.
We usually think of AI as a chatbot, but what happens when it gets a body? Anthropic just connected its Claude AI to a robot dog, and the results are a fascinating glimpse into our physical future.
Forget sterile simulations. Generalist AI just unveiled GEN-θ, a new family of robot models trained directly on hundreds of thousands of hours of real-world physical interaction. It's a whole new way to teach robots common sense.