Category: AI

A Japanese semiconductor design company, EdgeCortix, has unveiled an energy-efficient AI co-processor for edge intelligence– SAKURA. At the TechInsight’s Linley Spring Processor Conference, the company provided more details on the architecture, performance, and delivery timing for...

Lanner Electronics & Hailo collaborate on one of the most cost-efficient PCIe accelerator cards on the market, with record high tera operations per second (TOPS), enabling high-end deep learning applications on edge servers Lanner Electronics, a global leader in the design and...

How to quickly prototype 4x machine vision applications on one small embedded system. Embedded vision components are ever-popular and are being incorporated into a plethora of applications. What all these applications have in common is the need to pack more and more functionality into...

In 2017, NVIDIA released the Deep Learning Accelerator (NVDLA), a free and open-source technology designed for embedded and IoT applications. Leveraging the scalability and configurability, NVDLA is integrated into the latest NVIDIA Jetson AGX Orin module that is priced at $1990. In the...

Last month, NVIDIA announced the availability of the Jetson AGX Orin Developer Kit to deliver 275 trillion operations per second for energy-efficient advanced robotics and machine learning applications. There has been a lot of movement around the new NVIDIA developer kit that offers 8...

There have been several recent developments around TinyML and edge AI applications, and to supply the increasing demand from the developer community, many embedded electronic device manufacturers around the world are designing AI development boards. Beijing-based online embedded...

Computer vision applications that range from object detection and pattern recognition to computational healthcare and security surveillance systems take the input image for further processing, which in traditional hardware implementation has a vision sensing and vision processing...

NVIDIA brought Jetson Xavier NX with supercomputer performance to edge locations delivering up to 21 TOPS to run neural networks in parallel and process data from several high-resolution external sensors. To  take advantage of the NVIDIA Jetson Xavier NX, many manufacturers developed...