Abstract: Healthcare operations management faces unprecedented challenges in resource allocation, patient flow optimization, and clinical decision-making under uncertainty. This paper presents a ...
Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...
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AI is reinventing microfluidic design speed
Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...
Artificial intelligence is accelerating the shift of additive manufacturing from prototyping to high-volume production by optimizing workflows, improving quality, and reducing waste. Advances in ...
Recently, the global winners of the 2026 Noble Technology Awards have been officially announced. Young data scientist ...
The behavior of language models is influenced by the prior context provided in prompts. Depending on whether you pick synthesis or shake, the next row looks very different — Vishal Misra Contextual ...
Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...
How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
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