Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...
Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
EurekAlert!

From leaf images to genomes: deep learning reshapes pest-resistant breeding

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
Education Week

With Larry Ferlazzo

Janet B. Walton is Senior Research Scholar at North Carolina State University’s College of Education. She is a co-editor of the STEM Road Map curriculum series, a series of books that provides project ...
Forbes

IB’s ‘Approaches To Learning’ Are Essential For The AI Era

Forbes contributors publish independent expert analyses and insights. I write on the human/political issues surrounding college admissions. Two young male students investigate a project at a science ...
ascopubs.org

Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial

Using Early Biomarker Change and Treatment Adherence to Predict Risk of Relapse Among Patients With Chronic Myeloid Leukemia Who Are in Remission The imaging cohort consisted of positron emission ...
Psychology Today

A Strength-Based Approach Helps Children

When it comes to helping our children learn and develop academically, socially, and emotionally, we want them to feel confident about who they are. In our psychology practice, we use a strengths-based ...