Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems
Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...
An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
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