Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
The Lancet

Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study

(d) Prediction of time from diagnosis to gastrostomy requirement in the training cohort is compared using actual or imputed values of each covariate. 150 observations (10% of uncensored values in the ...
IEEE

Design of an Ultra-Thin Metamaterial Absorber With Machine Learning-Assisted Absorption Prediction

Abstract: An absorber is a block of material employed to absorb a portion of the energy of an incident particle. Research on absorbers is rapidly expanding as a result of their prospective ...
IEEE

Prediction of Asthma Using Machine Learning Algorithms

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
C&EN

Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction

Solid-state batteries (SSBs) promise the step-change in energy density and safety that today’s lithium-ion technology cannot deliver, yet progress is throttled by the slow and fragmented ...