Edge AI and Vision Alliance

LETTER FROM THE EDITOR Dear Colleague, Back by popular demand, we’re excited to again host the annual Women in Vision networking reception at the 2024 Embedded Vision Summit. We invite women working in computer vision and edge AI to join us for this special in-person gathering to meet, network and share ideas. This year’s Women

LETTER FROM THE EDITOR Dear Colleague, We’re excited to announce that Qualcomm will be offering an in-depth Deep Dive session on Tuesday afternoon, May 21 at the Embedded Vision Summit. In this workshop, Qualcomm will address the common challenges faced by developers migrating AI workloads from workstations to edge devices. Qualcomm simplifies this transition by

LETTER FROM THE EDITOR Dear Colleague, The Edge AI and Vision Alliance is proud to announce the ten semifinalists in the 2024 Vision Tank Start-up Competition. This annual event showcases the best new ventures using or enabling perceptual AI and computer vision. Check out the semifinalists’ pitch videos and descriptions here. The finalist companies, to

LETTER FROM THE EDITOR Dear Colleague, Tomorrow, Thursday, March 7 at 9 am PT, FRAMOS will deliver the free webinar “Build vs Buy: Navigating Optical Image Sensor Module Complexities” in partnership with the Edge AI and Vision Alliance. Among the diversity of development options available in today’s computer vision industry, the decision of whether to

LETTER FROM THE EDITOR Dear Colleague, We’re excited to announce the initial sessions, complete with abstracts and speaker bios, for the 2024 Embedded Vision Summit program. A solid start on what will end up being 100+ sessions! Head to embeddedvisionsummit.com now for more information, and take 25% off your registration by using code SUMMIT-SEB-NL. This

LETTER FROM THE EDITOR Dear Colleague, On Tuesday, March 5, 2024 at 8 am PT, NVIDIA will deliver the free webinar “Accelerate Edge AI Development With NVIDIA Metropolis Microservices For Jetson” in partnership with the Edge AI and Vision Alliance. Building vision AI applications for the edge often comes with long and costly development cycles.