Automation & Robotics

Remember chasing Pikachu in 2016? It turns out the millions of photos you and other players took are now being used to create a hyper-accurate map for robots, helping them navigate cities and deliver your pizza on time.

Ever wonder how Invisalign makes millions of unique, custom-fit aligners? The secret isn't just in orthodontics—it's in becoming one of the world's largest and most sophisticated 3D printing operations, a story that changes how we think about mass production.

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.

Ever feel like most AI agents are just blindly following a script? Let's change that. We'll walk through building a "Streaming Decision Agent" in Python that can think, react, and adapt to a world that's constantly changing.

Ever been woken up by a 3 AM pager alert? We walk through how to build a multi-agent AI system with Haystack that can autonomously detect, investigate, and even write postmortems for production incidents.

Tired of manually creating test data for your Python applications? Let's walk through how Polyfactory can automatically generate rich, realistic mock data from your dataclasses, Pydantic models, and more.

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.

Ever wondered how a fleet of autonomous vehicles would actually work? Let's build a mini-simulation from the ground up, complete with smart trucks that bid on jobs, manage their batteries, and navigate a digital city.

You know that Apple Shortcuts app you probably never open? With the new Apple Intelligence, it’s about to become one of the most powerful tools on your iPhone. Here’s why you’ll finally want to start using it.

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.

We think of robots as mindless machines. But what if they could learn by watching us? A Chinese startup called AgiBot is doing just that, using a team of people to teach AI robots complex tasks, and it could change manufacturing forever.