Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help ...

Google's humanoids are now capable of carrying out complex, multi-step tasks using the newly released Gemini 1.5 model family ...

Imagine for a moment that you’re in an auto factory. A robot and a human are working next to each other on the production line. The robot is busy rapidly assembling car doors while the human runs ...

DeepMind's updated Gemini Robotics models mark a shift from single-task machines to robots that plan multi-step missions.

After calculators had been out for some time, people began to have trouble with simple maths. They would reach for the ...

Following years of testing in the minor leagues, as well as during spring training, MLB forged ahead with a system in which ...

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...

The robots utilize paper-based electrodes and liquid crystal elastomers for asymmetric bending and crawling motions. Biological systems have inspired the development of next-generation soft robotic ...

At first glance, Nam-Joon Cho’s lab at Singapore’s Nanyang Technological University looks like your typical research facility—scientists toiling away, crowded workbenches, a hum of machinery in the ...

The Bullfrog system from Allen Control Systems is an artificial intelligence-powered robot to track and take down drones.

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.