AI searches for a better, lightweight network to predict epileptic seizures
A neural architecture search framework called CMS-NAS automatically evolves hybrid convolutional, Mamba and spiking network designs for lightweight, accurate EEG-based ...
Tag: Neural architecture search
Desert Antelope-Inspired AI Reads Student Smartphone Data to Flag Depression Risk
A new deep learning framework that passively reads smartphone sensor data from college students can detect depression and stress, but ...
Fox-Inspired AI Search and Context-Aware Transformer Push Document Translation Coherence to New Heights
A new framework combining a discourse-aware Context-Aware Transformer with a dynamically perturbed fox-inspired optimization algorithm achieves significant gains in coherent ...
Evolutionary AI Discovers Leaner Neural Networks by Treating Every Class as Its Own Goal
Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, using evolutionary neural ...
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 ...
Tiny AI Model Brings Full Language Understanding to Low-Power Learning Devices
A hybrid compression framework combining knowledge distillation, quantization-aware training, and dynamic inference achieves 92.3 percent semantic accuracy at 1.5 watts ...
Discovering Neural Architectures with GANs and Embeddings
In the ever-evolving landscape of artificial intelligence, neural architecture search (NAS) has emerged as a pivotal research area. It is ...
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