Ceremorphic Bets Big on India, Unveils First Development Center in Hyderabad
Ceremorphic plans to deliver a complete silicon system that will enable next-gen applications such as AI, ML, HPC, and automotive…
AI at the Edge? It’s Complicated
True AI at the edge, meaning running neural networks on the smart device itself, is a thorny set of problems.
STMicroelectronics Enhances Tool for ML Applications Development
NanoEdge AI Studio Version 3 is the first major upgrade of the software tool for machine-learning applications that ST acquired…
India Launches Center of Excellence of IoT and AI
The Center of Excellence on IoT and AI at the Andhra University Campus, Visakhapatnam, aims at promoting innovation in emerging…
Optimizing Connected ML Algorithms
Where to place your machine learning code—in the cloud, on an edge device, or on-premise—always involves tradeoffs. Here are some…
AI, ML Most Critical Tech Skill Indian Companies Plan to Acquire in the Next Six Months
Indian organizations plan to acquire or develop critical skills such as AI, ML, cloud, and data analytics within their businesses…
SERB-DST Partners with Intel India to Advance Deep Tech-based Research
In collaboration with Intel India, the Science and Engineering Research Board has launched a first-of-its-kind research initiative called Fund for…
MLPerf Launches TinyML Benchmark for Smallest AI Systems
New TinyML benchmark has metrics for latency and energy consumption - and the first round of results are out.
Cloud Still Needed for Managing Devices Out in the Field
AWS and Microsoft present their hardware, software and cloud solutions for AI at the edge.
How Machines Learn to Listen and Understand
The dynamic audio sensor allows machines to listen, and understand, at low power. It could be useful in the voice-activated…