Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...

Unlike common enzyme immunoassay methods (ELISA), mass spectrometry accurately determines the mass of molecules, ensures high ...

Officials are using a standard known as “Model Context Protocol” to ensure that queries to third-party AI chatbots like ChatGPT are informed by public data.

Professor James Rondinelli collaborated with IBM to help turn simulations into potential practical chip designs.

Ever noticed how many token metrics feel like they were picked with a blindfold and a dartboard? Yield percentages, reward multipliers, and supply numbers often ...

IIT Guwahati researchers, with UK collaborators, have used Machine Learning to design advanced, high-performance metal alloys without relying on Critical Raw Materials (CRMs), creating a sustainable ...

High-Pressure Photoelectron Spectroscopy (HPPES) advances catalysis research by enabling real-time surface analysis under ambient and high-pressure conditions.

Roughly 80% of the world's data centers still rely on air cooling. Fixing a 'half-degree' error there can avoid around $805 ...

Caltech scientists have developed a way to guide light on silicon wafers with low signal loss approaching that of optical fiber at visible wavelengths. This accomplishment paves the way for a new ...