Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.
For JEE Main 2026 aspirants, mastering key Mathematics topics is crucial for high scores. This article highlights four ...
“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by ...
AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
MIPS S8200 NPU is sampling now to lead customers developing autonomous edge transportation, robotics, and embedded platforms; ForwardEdge ASIC selects MIPS S8200 ...
AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
"PICASSO will revolutionize photonic circuit architectures, from compute to light detection and ranging, by expanding the field’s focus from individual components to include a more holistic circuit- ...
As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...
A research team of The Hong Kong Polytechnic University (PolyU) has achieved a revolutionary breakthrough in smart materials, successfully developing soft magnetorheological textiles that can flexibly ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Just yesterday, we wrote about the Qualcomm Dragonwing Q‑7790 and Q‑8750 AIoT SoCs, and on the same day, Quectel launched the SP895BD-AP smart AIoT module ...
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