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Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...
Semiconductor Engineering

Optimizing Event-Based Neural Network Processing For A Neuromorphic Architecture

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Modern Engineering Marvels on MSN

Supervised Learning Achieved in DNA Winner-Take-All Neural Networks

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...

MLCommons New MLPerf Tiny v1.3 Benchmark Results Released

New data reveals advances in tiny neural network performanceSAN FRANCISCO, Sept. 17, 2025 (GLOBE NEWSWIRE) -- Today, ...

Computer vision startup Ultralytics raises $30M in funding

Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant ...

The Neural Network Revolution: How In-Vehicle Ethernet is Reshaping Automotive Electronic Architecture

Driven by the wave of the "new four modernizations" in the automotive industry, traditional distributed electronic and ...