Abstract: Improving the decoding performance of steady-state visual evoked (SSVEP) signals is crucial for the practical application of SSVEP-based brain-computer interface (BCI) systems. Although ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
Abstract: This work presents a high-accuracy 3D Residual Convolutional Neural Network (3D-ResCNN) model for lung nodule detection from low-dose chest CT (LDCT) scans, with volumetric residual learning ...
Deep Learning with Yacine on MSN
What is VGG in deep learning?
Discover VGG, a popular convolutional neural network architecture, and learn why it’s important in computer vision tasks. #VGG #DeepLearning #CNN ...
As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...
TDK announces the TDK AIsight SED0112, a next-generation ultra-low power DSP platform integrating a microcontroller, state ...
AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
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 ...
Software-defined ISP replaces fixed hardware with neural networks, promising real-time image quality gains and over-the-air ...
MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
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