New Research from Farnell Reveals Strong Adoption of Artificial Intelligence within the Internet of Things Ecosystem
Results from Farnell’s second IoT Survey also show increasing confidence in companies to lead IoT development
Results from Farnell’s second IoT Survey also show increasing confidence in companies to lead IoT development
Berlin-based company revolutionising digital object recognition with Scape X
Design Platform for Artificial Intelligence and Industrial Embedded Vision Integrates Cyclone V SoC-FPGA and Basler Dart Cameras
ICP Germany completes its portfolio of AI accelerator cards with the Mustang-M2BM-MX2 card. In addition…
Win one of 1,000 AI and IoT development kits by registering online and visiting Farnell (Hall 3A-221) at Embedded World 2020 in Nuremberg, Germany from 25 – 27 February
Hannes Niederhauser, CEO at Kontron and Chairman of the Management Board of the S&T Group,…
With the diversified tendencies of AI applications and continuously growing demands on computing power, the architecture of AI chip containing highly complex neural networks requires an enormous amount of computing resources to perform. As a result, the demands on memory from AI chips have increased significantly, and the demands for memory reliability have grown as well. Additionally, another fact shows that AI chip highly depends on memory repairing solution because of its high unit price.
Connectivity, power, sensors and security also feature in demos based on products, platforms and solutions from leading semiconductor vendors for range of embedded industrial applications
ISL91301B PMIC Delivers up to 16A and 94 Percent Peak Efficiency in 70mm2 Solution Size
AXELL will utilize novel Blaize technology to bring high performance, lower energy AI to automotive, retail and gaming industries