Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
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India’s AI choices at the 2026 AI Impact Summit amid structural drifts in global markets
As we approach the AI Impact Summit 2026, global AI exosystems are undergoing a brutal yet necessary recalibration. Those calibrations are driven by t.
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional monitoring ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Examine the AI and computer science courses offered by Tsinghua University in 2026. Learn why Tsinghua is the top university ...
Abstract: Vision GNNs (ViGs) divide an image into multiple patches, treating these image patches as graph nodes. The image is represented by extracting explicit features from these patches as node ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Official implementation of 'Vision Graph Prompting via Semantic Low-Rank Decomposition'. The paper has been accepted by ICML 2025. Vision GNN (ViG) demonstrates superior performance by representing ...
Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...
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