Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
The New York Times

Teaching and Learning in the Age of A.I.

Re “Tech Giants Racing to Add A.I. to Schools Around the World” (Business, Jan. 5): With the proliferation of A.I. tools and the push for their adoption in schools, there has never been a greater need ...
Hosted on MSN

What is in-context learning in deep learning – simple explanation

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Trump says Republicans ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Phys.org

Gaussian processes provide a new path toward quantum machine learning

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
IEEE

ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...
C&EN

Bayesian Optimization with Gaussian Processes Assisted by Deep Learning for Material Designs

Developing novel materials drives significant breakthroughs across various engineering fields. Recent advancements in computational resources and techniques have enabled comprehensive material ...
C&EN

Bayesian Optimization with Gaussian Processes Assisted by Deep Learning for Material Designs

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Developing novel materials drives significant breakthroughs ...