Only six years old, Edge Impulse says it’s all about ‘empowering developers to create and optimize solutions with real-world data.’ In practice, Qualcomm seems to be acquiring tools and relationships, ...

Enterprise software is undergoing a major transformation as machine learning becomes deeply embedded into core digital products. Organizations are no longer using ML only for experimental analytics; ...

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 ...

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 ...

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 ...

Covering one of the fast-growing fields at the intersection of AI and embedded systems, the course will focus on designing efficient ML systems that are optimised for resource-constrained computing ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

SAN JOSE, Calif., Nov. 18, 2025 (GLOBE NEWSWIRE) -- zSpace, Inc. (NASDAQ: ZSPC), a global leader in immersive augmented reality (AR) learning solutions for education, today announced the zStylus One, ...