New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Finance - A material prepared by Alexandru Petrescu, the President of the Financial Supervisory Authority (ASF), together ...

A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not ...

Researchers have developed a highly sensitive light-based sensor that can detect extremely low concentrations of cancer biomarkers in the ...

For decades, one of fusion energy’s hardest problems has been keeping superheated plasma from blasting holes in reactor walls. A United States team working on the DIII-D tokamak now reports using ...

Researchers at the DIII-D National Fusion Facility have identified a new method to tame ...

A research team has successfully implemented a programmable spinor lattice on a photonic integrated circuit (PIC). This platform enables the realization of non-Abelian physics, in which the outcome of ...

Much like baking the perfect cake involves following a list of ingredients and instructions, manufacturing energetic materials—explosives, pyrotechnics and propellants—requires precise formulations, ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

ProbeLibrary, a fast, specific and flexible format for quantitative real-time PCR, is described. The ProbeLibrary concept is based on the fact that just 90 short probes provide transcriptome-wide ...