AMD's adaptive computing technology powers next-generation lidar platform
AMD's adaptive computing technology is powering mobility supplier Denso Corporation’s next-generation lidar platform
AMD's adaptive computing technology is powering mobility supplier Denso Corporation’s next-generation lidar platform
AMD has announced the Ryzen Embedded R2000 series, mid-range system-on-chip (SoC) processors optimised for a wide range of industrial and robotics systems, machine vision and IoT
AMD has introduced the Kria KR260 robotics starter kit, the latest addition to the Kria portfolio of adaptive system-on-modules and developer kits
As AMD buys Xilinx and Nvidia acquires Arm, we ask two industry experts what this could mean for the vision sector
Greg Blackman visited the Embedded World conference and exhibition in Nuremberg, Germany, at the end of February to find vision in abundance
Medical imaging, face recognition, autonomous vehicles, and industrial automation were highlighted as key areas for embedded processing by Mark Papermaster, CTO of AMD, in a keynote presentation given today at the Embedded World trade fair in Nuremberg, Germany
Advances in sensors that capture images like real eyes, plus in the software and hardware to process them, are bringing a paradigm shift in imaging, finds Andrei Mihai
A new automated approach is helping engineers in vision technology and forensics to identify rare traces, which can be essential in solving a crime
Integrating AI and augmented reality into imaging and machine vision for automated inspection tasks paves the way for faster, more efficient manufacturing, finds Abigail Williams
Camera and AI-equipped agricultural robots that can till, weed, pollinate and harvest are revolutionising farming, discovers Benjamin Skuse
Optical accelerators are enabling a new generation of powerful hyperspectral cameras, writes Professor Andrea Fratalocchi, of KAUST and Pixeltra
Imec’s Wouter Charle on how compact hyperspectral imaging cameras have huge potential once integrated into stringent clinical workflows