When using Jetson devices, Formant users can now enable real-time video and image analytics in the cloud and perform PII scrubbing at the edge, writes CEO Jeff Linnell in this column.
NVIDIA said its Jetson Nano 2GB kit is designed to enable students and developers to affordably get started with AI, robotics, and IoT.
Hailo said its new M.2 and Mini PCIe modules, which use the Hailo-8 AI processor, will make it easier for developers to build high performance into edge devices than other current systems.
ACEINNA has released its OpenIMU ROS driver, which it said will make it easier for robotics developers to build precise navigation systems.
Intel, Accenture, the Open University, ALYN Hospital, and Applied Brain Research are working to apply neuromorphic technology to make wheelchair-mounted robot arms more adaptable and affordable.
Joe Speed, field CTO of ADLINK, explains how ROS 2 is intended for commercial robotics developers, how the COVID-19 pandemic has accelerated demand, and how perception and fleet management can improve.
A novel system made of up neural networks powered by Intel’s Loihi neuromorphic chip could lead to better robotic senses of touch and vision, according to NUS researchers.
Hologram Hyper uses eUICC SIM hardware and software to help connect IoT devices such as robots, drones, and autonomous vehicles across cellular coverage zones.
Phantom AI, which develops advanced driver-assistance systems, is putting its technology on Renesas’ system on chip to provide computer vision, sensor fusion, and control capabilities.
The Qualcomm Robotics RB5 Platform helps developers tap into 5G and AI to create high-compute, power-efficient robots for a variety of industries.
Intel shared four research papers on new edge processing techniques, including one on a raycast accelerator that could improve visual SLAM accuracy while maintaining energy efficiency.
Columbia researchers have developeed a new optical phased array on chip at both near-infrared and blue wavelengths. It could advance autonomous navigation, augmented and virtual reality, and neuroscience.
Solid-state lidar such as the cameras from Sense Photonics could help increase warehouse safety by perceiving forklift forks more accurately.
‘Ferrobots,’ or magnetically controlled robots on a chip, promise to revolutionize medical diagnostic testing and other industries, just as Amazon’s warehouse robots have, said UCLA researchers.
Machine learning on edge devices could transform the manufacturing, healthcare, and energy industries. An AI executive explains why and the hardware involved.
Arbe, an Israel-based startup developing 4D radar technology that it claimed generates images 100 times more accurate than anything currently available on the market, raised funds for productization.
NVIDIA has partnered with Hackster to host the AI-at-the-Edge Challenge. The contest invites makers, robotics developers, and embedded technology enthusiasts to use the NVIDIA Jetson Nano Developer Kit to create an AI solution for a chance to win from $100K in prizes. Deadline to submit an entry using the NVIDIA Jetson Nano Developer Kit is…
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.…
MIT researchers have developed a novel “photonic” chip that uses light instead of electricity — and consumes relatively little power in the process. The chip could be used to process massive neural networks millions of times more efficiently than today’s classical computers do. Neural networks are machine-learning models that are widely used for such tasks…
NVIDIA’s Jetson Nano and Jetson Nano Development Kit. Low cost, yet very powerful, AI optimized compute resources such as NVIDIA’s Jetson Nano brings machine learning to the masses, and also has the potential of replacing the dominant paradigm of centralized, machine learning training and inferencing architectures. Synopsis During his keynote session at the recent…
NVIDIA’s Isaac SDK and Isaac Simulator, which were announced last month, are now available for robotics developers to download. The Isaac SDK toolbox offers developers access to Isaac applications, GEMs (robot capabilities), a Robot Engine, and the Isaac Sim. NVIDIA’s goal with its Isaac portfolio is to make it easier for manufacturers, researchers, and startups…
CLEVELAND and BOSTON — At the Robotics Summit & Expo 2019, experts from leading companies will discuss how the next generation of commercial robots will benefit from enabling technologies such as IoT, 5G, and cloud infrastructure. Keynote presenters from Amazon AWS, Microsoft, NVIDIA, and Qualcomm will also focus on the vital roles of AI and…