Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...

Although technical indicators offer a good tool in confirming insider trade signals, it is not perfect. False signals can be ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

The United States represented over 20.4% of the global AI in Nutraceuticals Market value in 2024. Fueled by widespread health ...

Discover how machine learning is helping researchers identify different groups of chronic obstructive pulmonary disease (COPD ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Integrating microfluidics with mass spectrometry revolutionizes trace-level Hazmat analysis, boosting sensitivity and ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

Artificial intelligence is reshaping employment in ways that challenge basic assumptions about work and human value. While ...

Ozak AI, presently in its 5th presale stage at $0.01, has unexpectedly gained traction, with funding now drawing close to $3 ...