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

Effective imputation means that model performance is robust to missing data. Our approach to prediction for timing of gastrostomy is summarised in Fig. 1 a. Fig. 1 Accessible and optimal time-to-event ...
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

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
C&EN

Machine Learning Force Field Accelerated Prediction of Low Lattice Thermal Conductivity in Strained WS

Department of Physics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat 390002, India ...
C&EN

Machine Learning Predictions of Thermopower for Thermoelectric Material Screening

Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...
Seeking Alpha

Applied Digital Q1: $1 Billion NOI Is A Game Changer

Applied Digital is poised for significant growth, with Q1 results highlighting underappreciated AI-driven data center expansion and a strong outlook. Applied's partnership with CoreWeave and rapid ...