AI develops easily understandable solutions for unusual experiments in quantum physics

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
IEEE

Deep Learning-Based Prediction of Ice Accretion Thickness Using Multi-layer Perceptron and MultiSource Meteorological Data

Abstract: This study develops an ice accretion thickness prediction model using a Multilayer Perceptron (MLP) deep learning algorithm based on multi-source meteorological and online icing monitoring ...
IEEE

Iron Loss Extrapolation Predictions for High-Frequency Magnetic Components Using Denoising Diffusion Models

Abstract: This article introduces denoising diffusion probabilistic models to enhance core loss predictions in high-frequency magnetic components. Conventional methods, such as the Steinmetz equation, ...