Built from scratch by Southern Methodist University students in Dallas, a DIY, aka do-it-yourself, supercomputer using NVIDIA’s Jetson Nano modules is helping provide the hands-on experience students may not receive with a standard supercomputer, which is often too large for a typical university learning environment.

On this episode of Embedded Insiders, we’re joined by Paul Butcher, Senior Software Engineer at AdaCore, to discuss how AI can make fuzz testing even more robust through the integration of techniques like symbolic execution and input-to-state correspondence that optimize test data sets against scenarios a system might encounter in the real world

Concurrent Technologies released its Intel® Core™ i7 processor powered Helios, an ITAR-free Commercial Off The Shelf (COTS) rugged industrial computing vision system with optimal Size, Weight, Power and Cost (SWaP-C) envelope able to withstand the harshest edge environments. Included is an Nvidia® graphics module with adequate I/O and storage plasticity for command-and-control display, degrade vision enhancement, and 360° vehicle navigation.

The second article in our metaverse series focuses on defining the industrial metaverse, its building blocks, parallels with model-based systems engineering (MBSE), and examples of how modeling and simulation are being used to empower digital twin ecosystems.

The latest buzzword term in our industry, end-to-end management, has a lot to do with following the flow of a project from beginning to end. There’s been software available for decades to manage that process, but for the most part, it relies completely on the humans to do the work. The software simply tracks the progress and allows lots of different groups and individuals in global and remote locations to interact with the project.

A variety of medical device modalities and industrial edge applications can be improved with the addition of new features enabled by AI. Developers of these devices and equipment need a platform that enables AI at the edge.

NVIDIA announce the Jetson Orin Nano to be released in Q1 2023 and will be available integrated into a range of rugged Edge Computers from Impulse Embedded, a leading provider of industrial computing systems and solutions. Sitting on the entry-level side of Jetson’s offerings, this new module targets the growing demand for real-time processing capabilities in AI (Artificial Intelligence) devices such as smart cameras, handheld’s, smart meters, and service robots, where integrators often require a lower power and a more cost-effective solution.