Here’s how Choudhry and his partner Samin Khan, who programmed the smartARM’s machine learning algorithm, used code libraries, college assignments, and sponsored hackathons to find and execute ...

69 per cent of Canadians are excited by the potential of AI, robotics and machine learning ; 22 per cent are very excited ; 47 are somewhat excited but think advances are still years away; ...

Hey says that while everything about computer science fascinates him, the field of robotics holds special appeal. “Robotics lets you play in different ‘playgrounds,’ like control, perception, and ...

2. Locus Robotics’ LocusBot is designed to work collaboratively with humans. The LocusBot weighs in at 100 pounds, has a payload up to 100 pounds, and can move at speeds up to 1.4 m/s.

Hutter’s team conducts basic research that is also useful in fields outside of legged robotics. “The technologies of environmental perception for autonomy and machine learning for control are used, ...

The new lab called "Robotics at Google," however, focuses more on software: more precisely, in using machine learning to develop robots useful in the real world.

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by [Ni… ...

Within machine learning, there is now a new old kid in town named deep learning. Deep learning mostly refers to good old neural networks that were popular in the late 1980s and early 1990s. Similar to ...

How Machine Learning is accelerating the commercialization of Robotics and Autonomous Systems Robotics is no more a sci-fi concept. Across industries, we are witnessing the growth of connected ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...