There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

Recent research highlights AI’s growing role in composing, analyzing, and teaching classical music, from deep learning models generating expressive works to tools aiding performance evaluation and ...

Ensemble learning methods, combining multiple models to improve overall accuracy and reliability, offer a promising approach to address this challenge. Objective: To develop and evaluate efficient ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Muse Spark is Meta's first AI model in a year Company is trying to re-join the frontier AI race after its Llama 4 model disappointed Independent tests show Muse Spark matches rivals in some areas, ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

Abstract: In this paper, a novel design method is proposed for a lattice Boltzmann (LB) anisotropic denoising model based on a recurrent neural network (RNN). The method transforms the design of the ...

A research team from the University of South China and Purdue University has developed a new class of ultra-high strength, high-ductility steel for 3D printing using an interpretable machine learning ...

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...