Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...
Researchers have developed light-transmitting hydrogel fibers that are just hundreds of micrometers in diameter. With further ...
China's AI startup DeepSeek said it plans to at least double the number of staff in all departments as part of its ongoing AI push, according to a recruitment notice it published on Thursday on ...
Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...
Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.
DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...
Training today’s largest neural networks is limited by backpropagation’s sequential updates and Graphics Processing Unit (GPU) bound compute and energy, slowing scaling. We demonstrate a hybrid ...
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