Machine learning on edge devices could transform the manufacturing, healthcare, and energy industries. An AI executive explains why and the hardware involved.
Arbe raises $32M to bring high-res radar for autonomous vehicles to market
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 AI-at-the-Edge Challenge offers $100K in prizes
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 Pohoiki Beach 64-chip neuromorphic system available for researchers
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.…
Photonic chip could run optical neural networks 10 million times more efficiently
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 – Democratizing and Disrupting Edge Machine Learning
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 Isaac SDK now available for robotics developers
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…
NVIDIA, Amazon AWS, Microsoft, Qualcomm to Highlight Enabling Tech at Robotics Summit
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…
NVIDIA’s Isaac SDK brings modern AI to autonomous machines
SAN JOSE, Calif. — Robotics developers are off to the races creating autonomous machines of the future, said NVIDIA Corp. this week. The company said it’s fueling their efforts with the NVIDIA Isaac software development kit, which will be publicly available soon as a free robotics developer toolbox for accelerating innovation and deployment. NVIDIA founder…
NVIDIA Jetson platform now supports AWS Robomaker
There was no shortage of robotics-related announcements today at NVIDIA’s GPU Tech Conference (GTC) in San Jose, California. We will start with NVIDIA’s Jetson AI computer platform adding support for AWS Robomaker, the cloud robotics service from Amazon Web Services. AWS RoboMaker makes it easier to develop, test and deploy intelligent robotics applications at scale.…
Inside NVIDIA’s new robotics research lab
The Robot Report named NVIDIA a must-watch robotics company in 2019 due to its new Jetson AGX Xavier Module that it hopes will become the go-to brain for next-generation robots. Now there’s even more reason to keep an eye on NVIDIA’s robotics moves: the Santa Clara, Calif.-based chipmaker just opened its first full-blown robotics research…
NVIDIA Jetson AGX Xavier Module delivers 32 TeraOPS for robots
NVIDIA announced at its Jetson Developer Meetup the Jetson AGX Xavier Module for autonomous machines, delivering up to 32 TeraOPs (TOPS) of accelerated computing capability. The NVIDIA Jetson AGX Xavier Module, which the company calls an AI computer, is now available for $1,099 (based on 1,000 unit volume). NVIDIA introduced the Jetson AGX Xavier developer…
NVIDIA GPU Cloud and DGX systems supported by MathWorks
MathWorks today announced the availability of its new GPU-accelerated container from the NVIDIA GPU Cloud (NGC) container registry for DGX Systems and other supported NGC platforms. Researchers and developers can now use the deep learning workflow in MATLAB and leverage multiple GPUs in NVIDIA DGX Systems, or on supported cloud service providers, and select NVIDIA…
NVIDIA adds AGX Xavier dev kits for robots, self-driving cars
NVIDIA introduced new developer platforms to power the next generation robotics and autonomous vehicles. NVIDIA founder and CEO Jensen Huang unveiled the Jetson AGX Xavier (robotics) and DRIVE AGX Xavier (self-driving cars) at the company’s GTC Japan event. The Jetson AGX Xavier includes a small computer module capable of up to 32 TOPs (trillion operations per second) and…