Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

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) ...
Communications of the ACM

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Thorax

Critical care research in low- and middle-income countries: a narrative review

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...
IEEE

Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning

Abstract: Federated learning (FL) introduces new perspectives in machine learning (ML) by enabling model training across decentralized devices. The research on data security and privacy in federated ...
IEEE

A Framework Integrating Federated Learning and Fog Computing Based on Client Sampling and Dynamic Thresholding Techniques

Abstract: The exponential growth in the number of Internet of Things (IoT) devices and the vast quantity of data they generate present a significant challenge to the efficacy of traditional ...
PC World

Framework stops selling separate DDR5 RAM modules to fight scalpers

If you’ve been watching the tech news lately, there’s just one story you’ve probably seen… Black Friday. But if you’ve seen two stories, you’ve probably read about RAM prices going absolutely ...
GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.