Sponsored by Texas Instruments: Embedded processors capable of running AI algorithms coupled with “low-code” software-development tools lead to edge AI applications that can boost...
Embedded smart-camera platforms with easy-to-use edge learning provide a unique solution for apps that are too difficult for conventional rule-based machine vision but don’t justify...
Configurable high-bandwidth RISC-V cores with vector units can be made to directly address challenging applications like machine learning, AI, and other cutting-edge spaces.
A novel edge AI video analytics platform built by Elma Electronic, Hailo, and Isarsoft challenges how business intelligence is addressed in the transportation industry.
Highlights of DFI's exhibition include high-performance industrial motherboards featuring AMD's 1.8-in. Ryzen, Intel's newest Raptor Lake-S and Alder Lake series processors, and...
Artificial intelligence is furthering its way into everyday lives, but the focus has predominantly been on the “big machines,” such as self-driving cars. Perhaps it’s now time...
Today's advanced products, from consumer wearables to smart EVs, are starting to leverage the power of AI to increase performance and functionality. However, those solutions require...
Edge AI tools continue to improve and become more powerful, leading the way to a new era of intelligent video analytics with rapidly expanding capabilities and possible uses.
With all the buzz surrounding edge computing these days, perhaps you're thinking it’s time to invest in intelligent edge technologies for your IoT network. What are the key factors...
Inference arrives at the edge: The eIQ machine-learning framework and development tools facilitate the transfer of AI from the cloud to devices on the edge.
Sponsored by Digi-Key and NXP Semiconductors: Designs evolve over time, but instead of jumping to a new platform and ecosystem to meet new requirements, learn one at the start...