Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Frontiers

How do we collect all this data? A performative account of International Large-Scale Assessment data collection in times of systemic diversity

International Large-Scale Assessments (ILSAs) serve to monitor and benchmark educational achievements, providing accurate, ...
Morning Overview on MSNOpinion

Gmail users should disable this 1 automatic setting ASAP

Gmail’s most controversial new trick is not a flashy AI assistant or a redesigned inbox, it is a quiet default that lets the ...

Touch-free health monitoring could breathe new life into health diagnostics

A new development in wireless sensing technology that can reliably screen for five common pulmonary diseases could lead to ...
IEEE

PM2.5 Retrieval With Sentinel-5P Data Over Europe Exploiting Deep Learning

Abstract: Monitoring particulate matter (PM) is of critical importance due to its significant impact on human health. Ground stations provide highly accurate measurements of various pollutants on a ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles With Deep Reinforcement Learning

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...