What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...
The growing potential of artificial intelligence (AI) and machine learning (ML) in embedded systems is driving new application solutions and products, but developing AI-based systems can be ...
SiMa.ai, a Silicon Valley–based startup producing embedded machine learning (ML) system-on-chip (SoC) platforms, today announced that it has raised a $70 million extension funding round as it plans to ...
SRC, a not-for-profit defense research and development company headquartered in Syracuse with an office in Rome on the ...
The Air Force Research Laboratory (AFRL) has awarded SRC, Inc. a $24 million contract to develop next-generation, embedded ...
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. (ZSPC), a global leader in immersive augmented reality (AR) learning solutions for education, today announced the zStylus One, its most ...
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 ...
While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
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