Tech Xplore on MSN
AI efficiency advances with spintronic memory chip that combines storage and processing
To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...
Tech Xplore on MSN
Beyond electronics: Optical system performs feature extraction with unprecedented low latency
Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on ...
Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes ...
Abstract: Matrix multiplication is a fundamental computational operation widely used in various engineering applications. To accelerate large-scale matrix multiplication, computing tasks are commonly ...
Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, ...
AZoOptics on MSN
Researchers Build Ultra-Fast Optical Chip for Feature Extraction with Record-Low Latency
A new optical feature extraction engine, dubbed OFE2, reaches 12.5 GHz, enhancing AI applications in healthcare and finance with unprecedented speed and efficiency.
As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter systems has driven researchers to an unlikely ally—light itself.
The Snapdragon X Elite from Qualcomm brings advanced AI performance to laptops and portable devices. Built using a 4nm ...
AZoOptics on MSN
Advances in Intelligent Photonics for Artificial Intelligence
In a recent article published in the journal Engineering, researchers presented a comprehensive review of the fast-growing ...
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