The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

Envariax represents the next generation of algorithmic trading innovation — a technology-driven model built to analyze vast ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

Your habits with that little rectangle in your hand are already telling a story; the most powerful thing you can do is turn ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

The UK drug development process is evolving. Find out how government efforts are reducing clinical trial timelines for new ...

Celestica is poised for growth in AI data centers with strong financial targets and integrated solutions. Click here to read ...

Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...