Ceremorphic plans to deliver a complete silicon system that will enable next-gen applications such as AI, ML, HPC, and automotive…
True AI at the edge, meaning running neural networks on the smart device itself, is a thorny set of problems.
NanoEdge AI Studio Version 3 is the first major upgrade of the software tool for machine-learning applications that ST acquired…
The Center of Excellence on IoT and AI at the Andhra University Campus, Visakhapatnam, aims at promoting innovation in emerging…
Where to place your machine learning code—in the cloud, on an edge device, or on-premise—always involves tradeoffs. Here are some…
Indian organizations plan to acquire or develop critical skills such as AI, ML, cloud, and data analytics within their businesses…
In collaboration with Intel India, the Science and Engineering Research Board has launched a first-of-its-kind research initiative called Fund for…
New TinyML benchmark has metrics for latency and energy consumption - and the first round of results are out.
AWS and Microsoft present their hardware, software and cloud solutions for AI at the edge.
The dynamic audio sensor allows machines to listen, and understand, at low power. It could be useful in the voice-activated…