Tiny AI Models That Listen: New Search Method Finds the Best Keyword Spotter for Microchips
Researchers at NIT Durgapur compared NSGA-II, MOSA, and Bayesian optimization for designing tiny keyword spotting models, finding MOSA most reliable ...
Researchers at NIT Durgapur compared NSGA-II, MOSA, and Bayesian optimization for designing tiny keyword spotting models, finding MOSA most reliable ...
South Korean researchers have accelerated a robust Huber-based extended Kalman filter on an FPGA, achieving a 3.71-fold speedup for real-time ...
A hybrid compression framework combining knowledge distillation, quantization-aware training, and dynamic inference achieves 92.3 percent semantic accuracy at 1.5 watts ...
Researchers at the Universidad de Sevilla have built a low-cost, real-time pain assessment system that combines four inexpensive biosensors with ...
A new stem-encoder-decoder neural network runs crowd counting at up to 381.7 frames per second on desktop GPUs and 71.9 ...
Researchers applied EASA's W-shaped safety certification process, built for supervised learning, to a reinforcement learning drone navigating an urban environment ...
Researchers have developed a federated, lightweight deep learning system that detects attacks on car CAN bus networks with high accuracy ...
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© 2025 Scienmag - Science Magazine