Search Results for : machine learning

The Aller board is specifically designed for development and integration of FPGA based accelerated features into other larger designs, it can be used with laptops, desktops, and servers featuring standard 2280 M.2 form factor M-key slot. Nowadays, most of the new laptops come with M.2...

Designed for use in 4K Cameras, Gaming, Digital Signage, and other Consumer and Industrial IoT Devices. Intrinsyc Technologies Corporation, a leading provider of solutions for the development and production of embedded and Internet of Things (IoT) products, today announced the...

µPOL DC-DC converters bring highest power density to space-constrained apps TDK Corporation announces the new series of µPOL™ DC-DC converters, the industry’s most compact and highest power density point-of-load solutions for applications such as big data, machine learning,...

Single board computers are not a new wonder anymore and the market has already experienced so many different devices based on numerous SoC and SOM. So, why should we be excited this time about the launch of a  $150 “Coral Dev Board”? Well, there are multiple reasons - but the most...

Open source community BeagleBoard.org has announced their BeagleBone AI SBC which features a dual Cortex-A15 TI AM5729 SoC that enables AI support via dual C66x DSPs and 4x EVE cores. The SBC comes with 1GB RAM, 16GB eMMC, WiFi, and GbE. The SoC includes four powerhouse...

Estone technology is proud to announce the new addition to our pico-ITX embedded board family – EMB-2238, an NXP i.MX8M based single board computer.  Building upon the success of our i.MX6 board series. The EMB-2238 is our first embedded board to integrated with hardware DSP...

With the increase of high integration programmable chips, FPGAs are getting more and more popular. FPGAs has been traditionally known to be generally complex, but a new line of FPGAs have been showing some promise and that is believed that will help increase their popularity. Tiny FPGAs...

The /SMARTEDGE AGILE meta-sensor, together with the Brainium Machine Learning cloud platform, form part of an ecosystem which provides a full, machine learning IoT system. The key advantages of this system are the use of Artificial Intelligence to analyse and monitor complex behaviours...