TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
IEEE

ConViTML: A Convolutional Vision Transformer-Based Meta-Learning Framework for Real-Time Edge Network Traffic Classification

Abstract: Traditional traffic classification methods struggle to identify emerging network traffic due to the need for model retraining, which hampers the real-time response of deployed edge devices.
IEEE

Deformable Convolutional Networks for Efficient Mixed-Type Wafer Defect Pattern Recognition

Abstract: Defect pattern recognition (DPR) of wafer maps is critical for determining the root cause of production defects, which can provide insights for the yield improvement in wafer foundries.
Computing

Smarter, brain-inspired AI design could cut training time and costs, study suggests

AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...
Learn With Jay on MSN

Max pooling in CNNs | Why it matters?

In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...