City of Industry, CA, February 07, 2018 -- Axiomtek, one of the world's leading design and manufacturing companies of innovative, high performance and reliable PC-based industrial computer products, is proud to introduce its latest RISC-based, DIN-rail industrial IoT gateway, the IFB125. It is powered by the Freescale i.MX6UL processor with the ARM Cortex -A7 microarchitecture. This compact IoT gateway is robust and feature-rich, with flexible communication options. It is designed for versatility of use and quick deployment. The IFB125 is suitable for a variety of applications including applications that require remote control and monitoring management functions, i.e., unmanned control, industrial automation, automatic parking lot control, traffic light control and more.
The fanless and maintenance-free AI (Artificial Intelligence) Edge computers from Syslogic are based on NVIDIA Jetson platform (Jetson TX2 and Jetson Xavier). AI embedded systems are paving the way for GPU-accelerated applications like machine learning or computer vision. Intelligent decisions are made in real-time at the edge. AI Edge Computing opens up new opportunities for the IIoT (Industrial Internet of Thing) across all industries and is accelerating the digital transformation. Syslogic combines AI Computing with more than 30 years of experience in designing and manufacturing rugged and durable industrial computers.
In recent years, advances in AI have produced algorithms for everything from image recognition to instantaneous translation. But when it comes to applying these advances in the real world, we're only just getting started. A new product from Nvidia announced today at GTC -- a $99 AI computer called the Jetson Nano -- should help speed that process. The Nano is the latest in Nvidia's line of Jetson embedded computing boards, used to provide the brains for robots and other AI-powered devices. Plug one of these into your latest creation, and it'll be able to handle tasks like object recognition and autonomous navigation without relying on cloud processing power.
WASHINGTON, D.C.--(BUSINESS WIRE)--At the Association for the United States Army (AUSA) conference today, General Micro Systems (GMS) announced that its new S422-SW and X422 combination has been chosen for two new military development programs. The system pair brings a massive amount of server processing power, 10/40/100 Gigabit networking ports for sensors, and general-purpose graphics processing unit (GPGPU) artificial intelligence (AI) onto the battlefield for the first time in two small "shoebox-sized" rugged chassis designed to survive the harshest conditions where regular rackmount servers cannot. The two programs that selected the S422-SW "Thunder" and X422 "Lightning" combo will deploy it in mobile platforms to move IP-based sensor data instantaneously over multi-sensor LANs into the server and AI processor. Once processed, the server reports out to operators information that can help maneuver a vehicle or UAS in real-time, calculate a fire control solution for a weapon, or identify threats such as stationary IEDs or incoming objects such as projectiles. "The tremendous processing power of this combo makes it a highly attractive option for these two development programs as well as others creating autonomous, self-driving or self-piloting vehicles," said Ben Sharfi, chief architect and CEO, General Micro Systems.
NVIDIA today introduced Jetson Xavier NX, the world's smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge. With a compact form factor smaller than the size of a credit card, the energy-efficient Jetson Xavier NX module delivers server-class performance up to 21 TOPS for running modern AI workloads, and consumes as little as 10 watts of power. Jetson Xavier NX opens the door for embedded edge computing devices that demand increased performance but are constrained by size, weight, power budgets or cost. These include small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices and other industrial IoT systems. "AI has become the enabling technology for modern robotics and embedded devices that will transform industries," said Deepu Talla, vice president and general manager of Edge Computing at NVIDIA.