PHILADELPHIA, PA, UNITED STATES, February 4, 2026 /EINPresswire.com/ -- MBA Candidate at Wharton and Former Apple ...

BEAVERTON, OR, UNITED STATES, February 2, 2026 / EINPresswire.com / — BEAVERTON, Ore. — Smart Banner Hub has been named a Key Player in post-quantum cryptography by GlobalData, according to the firm’s ...

Medsynaptic, a leading provider of enterprise RIS-PACS and medical imaging solutions, today announced that it has been recognized as the “Best in KLAS” 2026 winner in the PACS (Global) – Asia segment, ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

People often blame social media algorithms that prioritize extreme content for increasing political polarization, but this effect has been difficult to prove. Only the platform owners have access to ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Researchers have developed a Unity-based Virtual Reality (VR) system for the Jiangmen Underground Neutrino Observatory (JUNO) ...

Across neuroscience, biomedical engineering and artificial intelligence, researchers from Carnegie Mellon University are exploring how pain is measured, understood and treated to support safer, more ...

In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, organize vast amounts of market data efficiently. These platforms combine ...

Our fellowships are valuable learning experiences, providing part-time work in the spring and fall semesters and full-time positions over the summer break.

Abstract: To address the challenges in pattern mining and understanding of traffic flow data with high dimensionality, non-linearity, and strong spatio-temporal correlations, this paper proposes an ...