Building the American Dream: Marcus Schneck, CEO at norelem explains how the company’s US expansion will support American design engineers in creating exciting new products.
The smarter AI tools of today’s digital world get, the more educators, creators of content, and other professionals should know how to identify AI-generated submissions or publications. Making these identifications requires the use of AI detectors. Therefore, this article will […]
The post The Ultimate Guide to Using an AI Detector appeared first on TechSpective.
A research team has made a major discovery by designing molecules that could revolutionize computing.
Research at Michigan State University is focused on teaching robots to use colors to perceive, visualize, and interpret interactions when manipulating objects. A force-interpreting optical system is being developed so robots can distinguish and manipulate soft and fragile objects—which will be particularly helpful for medical and other assistive robots.
From search-and-rescue missions to orthopedic therapy and many other applications, soft robots and wearable electronic devices show great promise for many fields. However, designing them to be functional and practical to use has proved challenging.
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
A team of roboticists at the German Aerospace Center's Institute of Robotics and Mechatronics finds that combining traditional internal force-torque sensors with machine-learning algorithms can give robots a new way to sense touch.
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement