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Xilinx Launches Versal HBM

Xilinx Launches Versal HBM
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NVIDIA Jetson AGX Xavier Industrial Module From: Nvidia

Nvidia At just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at one-tenth the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial unmanned aerial vehicles (UAV). The Jetson AGX Xavier series of modules delivers up to 32 trillion operations per second (TOPS) of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly. NVIDIA Jetson AGX Xavier Industrial delivers the highest performance for AI embedded industrial and functional safety applications in a power-efficient, rugged system-on-module. It’s form-factor and pin-compatible with Jetson AGX Xavier, and with up to 20 times the performance and four times the memory of Jetson TX2i, customers can bring the latest AI models to their most demanding use cases. 

University of the Basque Country Researchers Yield New Data on Energy (Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid)

University of the Basque Country Researchers Yield New Data on Energy (Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid)
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TI looks to advance real-time control, networking and analytics applications at the edge

TI looks to advance real-time control, networking and analytics applications at the edge Texas Instruments (TI) has introduced a new high-performance microcontroller (MCU) portfolio that it says will advance real-time control, networking and analytics applications at the edge. The Sitara AM2x MCUs from TI, will enable engineers to achieve 10 times the computing capability of traditional, flash-based MCUs and, according to the company, this high-performance portfolio will help to close the growing gap between today’s MCUs and processors, enabling designers to push the limits in applications such as factory automation, robotics, automotive systems and sustainable energy management. “Demands for industrial automation, next-generation vehicles, intelligent analytics, and higher levels of connectivity are all fueling the need for fast, accurate microcontrollers at the edge. Delivering more advanced, power-efficient processing to distributed systems is

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