Super Micro Computer, Inc., announced the doubling of GPU capabilities with a new 4U server supporting eight NVIDIA HGX A100 GPUs. Supermicro offers the industry’s broadest portfolio of GPU systems spanning 1U, 2U, 4U, and 10U GPU servers and SuperBlade servers over a wide range of customizable configurations. Supermicro now offers the industry’s widest and […]
Artificial intelligence
Xilinx snags LEAP Gold in Embedded Computing category
The winners of the 2020 LEAP Awards (Leadership in Engineering Achievement Program) were announced last week in a digital ceremony, with products across 12 categories, including embedded computing, power electronics, and test and measurement. Critical to LEAP’s success is the involvement of the engineering community. No one at WTWH Media selected the winners. Instead, our […]
Rugged GPGPU AI supercomputer handles harsh conditions in mobile, remote, military, autonomous apps
Aitech Systems has released an upgraded, qualified version of its high performance, compact A178. Designed for intense data processing in extreme environments, the rugged GPGPU AI supercomputer reliably operates in the harsh conditions found throughout mobile, remote, military, and autonomous platforms. The A178 system is ideal for applications such as training simulation, situational awareness, AI […]
Mini PCIe high-performance AI acceleration modules optimized for edge devices
Hailo announced the launch of its M.2 and Mini PCIe high-performance AI acceleration modules for empowering edge devices. Integrating the Hailo-8 processor, the modules can be plugged into a variety of edge devices, transforming multiple sectors with superior AI capabilities including smart cities, smart retail, industry 4.0, smart homes, and beyond. The modules enable customers […]
MCUs with embedded flash target rich graphics, AI, secure apps
STMicroelectronics has revealed record-breaking STM32* microcontrollers (MCUs) with embedded Flash that bring high-end features such as rich graphics, AI, and state-of-the-art cyber-protection to cost-sensitive new products. The new STM32H7 MCUs build on the Arm Cortex-M7 core and operate at 550 MHz, the fastest core speed in the market among MCUs that integrate Flash storage on-chip to run deeply embedded […]
Extended-temperature ethernet PHY transceiver targets aero, military apps
Aircraft, military vehicles, and ground-based systems that rely on intelligence, information, and secure connectivity to support mission success are enabled by enhanced technology designed to operate in extreme temperatures and environmental events. Microchip Technology Inc. announced its new VSC8540/41ET Gigabit Ethernet PHY RMII / RGMII Transceiver – a Commercial Off-The-Shelf (COTS)-based device upgraded for avionics and military applications. Based […]
AI development tools now packaged with ARM Core development board
SensiML Corporation announced that its SensiML Analytics Toolkit is now integrated with the QuickLogic QuickFeather Development Kit, featuring a small form factor board which enables the next generation of low-power, machine learning IoT devices. The QuickFeather kit is based on a 100% open source development environment and includes QuickLogic’s EOS S3 low-power SoC with an […]
Dev kit app helps create outcomes from vision inference engines
ADLINK Technology Inc.has added a new Node-RED app to its Vizi-AI development starter kit (devkit), enabling developers to drive action from machine vision artificial intelligence (AI) at the edge. Developers can easily connect Vizi-AI to a variety of image capture devices and then deploy and improve machine learning models. With this capability, developers are better able […]
AI toolkit works with MCU open-source neural network inference engine
SensiML Corporation announced that its SensiML Analytics Toolkit now seamlessly integrates with Google’s TensorFlow Lite for Microcontrollers. Developers working with Google’s TensorFlow Lite for Microcontrollers open source neural network inference engine now have the option to leverage SensiML’s powerful automated data labeling and preprocessing capabilities to reduce dataset errors, build more efficient edge models, and do […]
How “green” is your Artificial Intelligence?
Artificial intelligence (AI) systems face a set of conflicting goals: being accurate (consuming large amounts of computational power and electrical power) and being accessible (being lower in cost, less computationally intensive, and less power-hungry). Unfortunately, many of today’s AI implementations are environmentally unsustainable. Improvements in AI energy efficiency will be driven by several factors, including […]