Since we’ve turned the page on a new year, it’s time to make some predictions.

Champions of the open-standard ISA expect it to start displacing competitive offerings en masse over the next few years. While that remains to be seen, the introduction of custom RISC-V instruction extensions, the formation industry-specific working groups, and advances in tools are redefining the technology’s true winners.

Autonomous drive is no longer an idea of the future. Although we have yet to reach full levels of autonomy, these systems continue to advance, as do the capabilities that reside within and all around the vehicle.

NVIDIA introduced NVIDIA Jetson AGX Orin, the world’s smallest, energy-efficient AI supercomputer for robotics, autonomous machines, medical devices, and other forms of embedded computing at the edge.

A hallmark of proven technology is viability in rugged industrial applications. And a true measure of that viability is how it performs under the rigors of mobile applications.

Rugged mobile systems architects can now check both boxes while adding cutting edge AI capabilities to their designs by adopting Syslogic's NVIDIA Jetson AGX Xavier-based Rugged Computer, the RML A3.

NVIDIA and Open Robotics have entered into an agreement to accelerate ROS performance on NVIDIA’s Jetson edge AI platform and GPU-based systems. These initiatives are designed to reduce development time and improve performance for developers seeking to incorporate computer vision and AI/machine learning functionality into their ROS-based applications. 

AI models have become more complicated in recent times due to the escalating demand for real-time AI applications in various industries. This necessitates the deployment of high-performing, cutting-edge inference systems in an optimal way. TensorRT's latest version addresses these issues by bringing in additional capabilities to provide more enhanced and responsive conversational AI applications to their customers.