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

Discover how alarm data operational intelligence is improving safety, reliability, and performance across complex oil and gas ...

Researchers at Pohang University of Science and Technology (POSTECH) have developed an artificial intelligence approach that addresses a key bottleneck in analog semiconductor layout design, a process ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

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

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that ...

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 ...

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

In nature, molecules often show a strong preference for partnering with other molecules that share the same chirality or handedness. A behavior that is quite evident in the phenomenon known as ...

A new study reveals how advanced carbon based nanofluids could significantly improve heat transfer in technologies ranging from microelectronics to ...

AT the Cheshunt Research Station, a study is being made of the interaction of environmental factors on the virus diseases of glasshouse crops, in the light of recent physiological work considered in ...