Science

New research reveals that streamlined large language models can outperform their massive counterparts in complex financial analysis.

A new framework, SeBERTis, leverages the power of deep learning to understand the meaning behind security issue reports, improving accuracy and reducing reliance on simple text matching.

A new framework leverages artificial intelligence to provide tailored support and guidance to farmers facing the challenges of a changing climate.

A new framework, FusAD, combines time-frequency analysis with adaptive denoising to deliver state-of-the-art performance across a broad range of time series tasks.

A new framework leverages adaptive digital twins and Bayesian learning to improve structural health monitoring and enable dynamic control under uncertain conditions.

New research reveals that state-of-the-art AI models for analyzing brain scans can unexpectedly falter when applied to new patient data, exposing a critical flaw in their learning process.

A new system proposes decoupling publication from validation, shifting the focus from acceptance rates to a data-driven measure of genuine scientific contribution.

A new deep learning framework offers a powerful approach to modeling and predicting the behavior of complex systems governed by stochastic differential equations.

As large language models grow in complexity, ensuring consistent and factual outputs requires a new approach to data refinement.

A new study demonstrates the power of machine learning and radar satellite imagery to pinpoint areas most vulnerable to flooding in the River Nyando Watershed.