1. Sentiment Trackers: AI tracks price direction, momentum shifts, and volume flow to show whether a stock is gaining ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Applicants are not supposed to use AI to write college essays. But colleges are using AI to help assess applications. At ...
Abstract: With the boom of machine learning (ML) techniques, software practitioners are building ML systems to process massive volumes of streaming data for diverse software engineering tasks, such as ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
You’re managing a federal agency contact center when someone calls in with a bomb threat targeting a government building. The employee immediately begins working to obtain as much information from the ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
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