By contrast, critics argue that Drake’s recent output reflects a high-volume, streaming-era strategy – a form of “cultural ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

The OpenCost project, an open-source cost and resource management tool hosted by the Cloud Native Computing Foundation (CNCF), has published a year-in-review reflecting on its progress in 2025 and ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics for superior clarity and precision.

Abstract: In recent years, there has been a surge of machine learning applications developed with hierarchical structure, which can be approached from Bi-Level Optimization (BLO) perspective. However, ...

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...

ABSTRACT: Based on 1526 academic journal papers from the Web of Science Core Collection between 2005 and 2024, this study used CiteSpace and Excel to conduct a bibliometric analysis of the application ...

Abstract: This study presents a physics-based iterative learning framework for solving forward electromagnetic scattering problems in piecewise homogeneous dielectric regions. Building on integral ...

What if an AI could not only learn but also teach itself to improve, over and over again? Enter Google’s new MLE Star, a self-improving machine learning engineering agent that’s redefining the limits ...