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 ...
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 ...
“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...
MANHASSET, N.Y., November 03, 2025--(BUSINESS WIRE)--While hospitals nationwide want to keep patients from regressing and ...
China's first brain-like intelligent computing body, named "INN inside computing body", was officially launched in the ...
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 ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--VeriSilicon Holdings Co., Ltd. (VeriSilicon), a Silicon Platform as a Service (SiPaaS®) company, today announces VIP8000, a highly scalable and programmable ...
The single technique for teaching neural networks multiple skills is a step towards general-purpose AI. If you can recognize a dog by sight, then you can probably recognize a dog when it is described ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
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