Machine learning on edge devices could transform the manufacturing, healthcare, and energy industries. An AI executive explains why and the hardware involved.

Pensa Systems said its approach, which combines drones, machine vision, and AI, can affordably help retailers and brands solve the $1 trillion stockout problem.

The global robotics market will continue to be affected by China’s manufacturing slowdown and trade tensions with the U.S., says international analyst Georg Stieler as he looks ahead to 2020.

Intel unveiled its 8 million-neuron neuromorphic system codenamed Pohoiki Beach today at the Defense Advanced Research Projects Agency (DARPA) Electronics Resurgence Initiative in Detroit. Consisting of 64 Loihi research chips, Intel claims Pohoiki Beach can be up to 1,000 times faster and 10,000 times more efficient than CPUs for autonomous driving, robotics and other applications.…

Intel AI Lab is working with researchers at Oregon State, Stanford, and UC San Diego on machine learning approaches that could help robots interact with dynamic environments. They include a combined approach to reinforcement learning and PartNet, a massive dataset of 3D objects with annotated components.

To serve a widening range of applications, robots need to navigate their environments and manipulate objects with greater precision than ever before. At the Robotics Summit & Expo Intel will explain how new technologies are emerging to help developers and users.

Despite a few high-profile failures, robotics investments kept going strong in April 2019, with funding flowing to companies working on self-driving cars, supply chain automation, and robots in healthcare.