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 ...
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 , ...
The Company will demonstrate how its AI-based neural input technology interprets neural signals to control digital devices using touchless finger movements At the Summit, the Company will showcase its ...
Artificial intelligence (AI) is revolutionizing embedded systems, transforming how technology integrates into daily life. No longer limited to basic tasks, AI is now leveraged in smart cars, ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
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 ...
The partnership will transform the development process from concept to production for embedded machine learning in micropower devices. Eta Compute and Edge Impulse have announced that they are ...
Hot on the heels of launching the Dragonwing suite of products to represent its industrial and embedded internet of things (IoT), networking and cellular infrastructure solutions, Qualcomm ...
DANA POINT, CA, UNITED STATES, September 9, 2025 /EINPresswire.com/ -- Evochip.ai today announced the launch of AltiCore-LogicMCU, a groundbreaking AI model compiler ...
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 ...
AZoSensors on MSN
Low-Power Sensor Node Brings Machine Learning to the Edge of Environmental Monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
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