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The algorithm benefits from particle swarm optimization and a dimension learning-based hunting search strategy. In the particle swarm algorithm search strategy, linear variable social ... using ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
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MIT's new tech enables robots to act in real time, plan thousands of moves in secondsMIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.
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Neural networks speed up search for solid-state battery materials for safer electric cars with extended rangeResearchers from Skoltech and AIRI Institute have shown how machine learning can speed up the development of new materials ...
A startup seeks a digitally synthesizable timing alternative to convectional crystal and PLL solutions based on analog ...
Explore nonlinear thinking in problem solving and how it fosters creativity, adaptability, and innovation in today’s complex ...
Abstract: In this paper, we propose a fast greedy search algorithm for optimal single-cycle signal timing at individual oversaturated intersections. We illustrate the efficiency of the algorithm with ...
🚀 GPU Acceleration: Full CUDA support with PyTorch's native GPU operations ⚡ JIT Compilation: Optional PyTorch JIT optimization for maximum performance 🔧 Sparse Matrix Support: Compatible with dense ...
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