Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
Artificial Intelligence is revolutionizing industries by enabling devices to process data and make decisions locally, ...
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. Semidynamics is a European ...
Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new ...
Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...
Nagpur hosted the 4th International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning ...
Artificial intelligence (AI) and embedded systems have recently made tremendous advancements that have totally changed how we view the future. Technologies like artificial intelligence, machine ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, a leading provider of edge machine learning development tools, today announced it has joined the Amazon Web Services (AWS) Independent Software Vendor ...
MarkLogic Corporation, the next generation data platform provider for simplifying data integration, announced Embedded Machine Learning and other features in the latest versions of the ...
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