Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

High-throughput single nucleotide polymorphism (SNP) arrays are important genotyping tools that accelerate breeding programs and basic research. In ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...

For years, planetary scientists have argued that some of the material that built Earth must have drifted in from beyond ...

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Over the past 12 months, the global arbitration landscape has continued to evolve at pace, cementing arbitration’s role as ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...

Hyperspectral imaging (HSI) is highly valued for its minimal sample preparation, nondestructiveness, and rich spatial information. However, its large data volume poses computational challenges. To ...