AI identifies new particle models that may explain neutrinos' tiny mass

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

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 ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
MIT Technology Review

Inside soccer’s data renaissance

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.
IEEE

Segmentation of Sidescan Sonar Imagery Using Markov Random Fields and Extreme Learning Machine

Abstract: As a widely used segmentation scheme, Markov random field (MRF) utilizes k-means clustering to calculate the initial model for sidescan sonar image segmentation. However, for the noise and ...
IEEE

Wasserstein-Markov Random Forest (WMRF): A Machine Learning-Based Model for Accurate Protein Subcellular Localization

Abstract: Motivation: Accurate prediction of protein subcellular localization (PSL) from sequence is central to cell biology and proteome-scale annotation. However, current approaches face a ...
health.economictimes.indiatimes

JHU, Great Learning Launch AI in Healthcare Programme for Medical Professionals

Bengaluru: Great Learning on Wednesday announced the launch of an AI in Healthcare programme in collaboration with Johns Hopkins University (JHU), one of the world’s top institutions in medicine and ...
EurekAlert!

Hidden Markov models: Theory, algorithms, and applications in bioinformatics

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...
Scientific Research Publishing

Multi-Agent Strategic Confrontation Game via Alternating Markov Decision Process Based Double Deep Q-Learning ()

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...