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In the dark and cold of deep space on 20th October, the Lockheed Martin-built OSIRIS-REx spacecraft descended to the surface of an asteroid and touched it with its robotic arm to collect a sample of its rocky material. Although brief, the Touch-And-Go, or TAG, event was years in the making.

Five years ago this month, Steve Mahan, the retired director of the Santa Clara Valley Blind Center, who lost his sight years before, took the world's first ride in a self-driving car on public roads. Since that first ride Waymo has been hard at work to bring the Waymo Driver to more and more people.

Forests cover 30% of the Earth's landmass, but that number is on the decline. Despite forests' crucial role in conserving wildlife and processing carbon dioxide, many are threatened by deforestation and wildfires. Complicating these threats is the lack of quantitative information that foresters and environmental researchers need for making important decisions to preserve forests.

Using a brain-inspired approach, scientists have developed a way for robots to have the artificial intelligence to recognise pain and to self-repair when damaged.

Leading Global Provider of Customer Experience Solutions Unveils AI-Powered Feature to Address COVID-19 Concerns; Gestures Launches at Hartsfield-Jackson Atlanta International Airport (ATL).

MOV.AI operating system is designed for robot manufactures and ROS developers, enabling the best human-robot collaboration experience.

Hesai Unveils PandarXT, 32-Channel Mid-Range LiDAR with Self-Developed, Proprietary LiDAR ASICs.

This article discusses key technological issues that AI image diagnostics companies face and provides a roadmap describing when and how they are likely to be overcome over the next decade, based on research conducted by IDTechEx in the report "AI in Medical Diagnostics 2020-2030: Image Recognition, Players, Clinical Applications, Forecasts".

SafeRide to contribute AI-based vehicle health management expertise to the SAE Health-Ready Components and Systems (HRCS) Consortium to facilitate industry-wide application of Integrated Vehicle Health Management (IVHM) technology

Imagine a situation where, given a request, a lab automatically chooses what experiments to do, robotically carries this out, tracks the reaction with integrated sensors, acquires and analyzes the results, and then decides what experiment to do next. This seems like science-fiction, but certain truths may be closer than you think.