When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...

In this Q&A, you will learn about some of the technologies and techniques that are making it possible to address advanced ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...

Therapeutic developers are increasingly rebuilding their workflows around AI to bring drugs to patients faster.

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

Software is increasingly the key differentiator in robotic performance, enabling real-time reconfiguration and system optimization. AI-enabled perception technologies are improving safety, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures ...

Understanding biomolecular function at the atomic scale requires detailed insight into the structural changes underlying dynamic processes. Vibrational infrared (IR) spectroscopy─when paired with ...

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...