Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

A Computer Science and Learning Sciences team led by PhD student Caryn Tran aimed to understand how educational programming ...

From sorting chicken nuggets to screwing in light bulbs, Eka’s robots are eerily lifelike. But do they have real physical smarts?

In 2016, an AI program he developed at Google DeepMind, AlphaGo, taught itself to play the famously difficult game of Go with ...

The robot learned how to play the sport using the AI method known as reinforcement learning.

Modern robotics has reached a point where movement is no longer the main challenge – machines can already navigate, grasp, and operate in space with impressive precision. Yet enabling them to truly ...

Japanese electronics giant Sony built the robotic arm it calls Ace and pitted it against professional athletes. Ace proved a ...

Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches ...

No, this isn’t science fiction. Real-life researchers taught a dish of roughly 200,000 living human brain cells to play the classic 1990s computer game “Doom.” Experts at Cortical Labs, an Australian ...

According to Fox News AI, researchers have demonstrated a robot that rallies with human players in real time by combining high-speed vision, trajectory prediction, and closed-loop control, enabling ...

"The farm thinks for itself." Demeter is a fully autonomous, multi-agent AI system for precision hydroponic farm management. It combines reinforcement learning, computer vision, LLM-based reasoning, ...

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...