MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Introduction Achieving physical activity recommendations for health as part of mental healthcare for adults with severe mental illness (SMI) could enhance clinical, functional and quality of life ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model ...

An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

Circularity is no longer optional; it’s the blueprint for businesses that intend to thrive in the decades ahead.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...