This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

As high schools rethink graduation requirements, a growing number are moving away from requiring all students to pass a comprehensive test.

Connecting The Dots works to improve how science and mathematics are taught in schools. It emphasises experiential learning, ...

Abstract: Quantifying uncertainty in ML models is crucial for ensuring trust in ML models and enhancing safety of ML in critical decision systems. However, many methods of uncertainty quantification ...

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 ...

See how your public school measured up to the rest, using the newly released report from Virginia's new School Performance ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Abstract: Learning rate is a crucial parameter in training of neural networks. A properly tuned learning rate leads to faster training and higher test accuracy. In this paper, we propose a Lipschitz ...

WASHINGTON, DC - JULY 30: Federal Reserve Chairman Jerome Powell answers questions from reporters following the regular Federal Open Market Committee meetings at the Fed on July 30, 2025 in Washington ...

Mortgage rates stayed steady through most of 2025, but two consecutive Federal Reserve rate cuts in September and October signaled a slowing economy and cooling housing market. While federal fund ...