A brain imaging study of 146 young adults suggests that machine learning models can partly predict how strongly a person ...

Researchers combined hyperspectral imaging with explainable machine learning to accurately identify authentic Rubia ...

Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes of long-bolted steel connections in modular ...

First joining U of T as a postdoctoral researcher, Bereyhi’s work focuses on limits and the practical aspects of machine ...

This research demonstrates a photonic quantum approach to modeling chaotic fluid dynamics, achieving low error rates with ...

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

FirstQFM achieves highest accuracy in financial forecasting using Quantum Reservoir Computing (QRC) on Rigetti’s ...

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...

Automatic modulation classification (AMC) is a crucial task in modern communication systems, enabling the identification of modulation schemes in received signals. This paper presents a proposed model ...

A 2026 study found that simple linear regression predicts sunshine duration in Jammu and Kashmir more accurately than complex ...

Physical Superintelligence announced on November 6, 2026 that an internal research system running instances of a non-public ...

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...