The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Catalysis is key to address today’s most pressing environmental and public health challenges; from pollutant degradation and clean water generation to ...

Chronic inflammation is both a driver and suppressor of cancer depending on context. Key players-NF-κB, IL-6, STAT3, TAMs, MDSCs, and Tregs-orchestrate a tumor-permissive microenvironment.

Cardiometabolic syndrome arises from intricate interactions among metabolic, cardiovascular, behavioral, and environmental factors. The convergence of ...

The nuclear power industry has long struggled with cost overruns and construction delays that can stretch projects by years ...

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.

Embedded AI safety layer blocks LLMs from generating novel chemical threat agents using Lunai’s proprietary biology and ...