Tech Xplore on MSN
VFF-Net algorithm provides promising alternative to backpropagation for AI training
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...
Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with ...
Interesting Engineering on MSN
China unveils ‘fridge-sized’ AI server that slashes power use by 90%
The BIE-1 integrates 1,152 CPU cores with 4.8 terabytes of DDR5 memory and 204 TB of storage space. It closely mimics the ...
Google LLC today detailed RigL, an algorithm developed by its researchers that makes artificial intelligence models more hardware-efficient by shrinking them. Neural networks are made up of so-called ...
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...
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