Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
IEEE

Fast and Accurate Machine Learning Prediction of Back-End-of-Line Thermal Resistances in Backside Power Delivery and Chiplet Architectures

Abstract: Heat dissipation is a critical issue in a backside power delivery network (BSPDN) chip package because heat from the powered transistors must travel through the signal interconnects (that ...
IEEE

NM-TD3: A Hybrid Noise-Driven TD3 Algorithm With Long-Term Reward Propagation for Mobile Robot Path Planning

Abstract: Path planning is one of the core technologies enabling intelligent decision-making in autonomous navigation for mobile robots. However, existing reinforcement learning methods still face ...