Neural Networks Trained on a 24-Dimensional Lattice Could Shrink AI to 0.76 Bits per Weight
A new theoretical framework trains neural networks natively on the Leech lattice, compressing weights to 0.76 bits per parameter while ...
A new theoretical framework trains neural networks natively on the Leech lattice, compressing weights to 0.76 bits per parameter while ...
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, ...
Researchers at Anna University have developed TextSummNet, a two-stage AI system that combines extractive filtering with transformer-based abstractive generation to ...
A new systematic review finds that hybrid deep learning and metaheuristic optimization frameworks achieve 98 to 100 percent accuracy in ...
A systematic review of 131 studies finds that deep learning cameras can monitor pig welfare and behavior with over 95 ...
A scientometric analysis of 4,269 publications charts how sentiment analysis evolved from lexicon-based polarity detection to aspect-based, multimodal, foundation-model-driven sentiment ...
A new analysis argues that large language models generate text through automated metaphor, producing texts that orbit their most important ...
A new study systematically tests early, late, and hybrid fusion strategies for combining image and text in AI systems that ...
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
The first comprehensive survey of document shadow removal catalogs nine datasets and 41 studies, mapping the field's evolution from physics-based ...
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© 2025 Scienmag - Science Magazine