LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Prospect Prediction Markets Inc. (TSXV: MKT) (OTCID: MKTSF) (FSE: DEP) ("Prospect Markets" or "Prospect" or the "Company") is pleased to announce a collaboration with ASAPI.AI, an artificial ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each approach’s respective advantages.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

The intersection of artificial intelligence and mechanistic neuroscience is rapidly transforming our understanding of neural systems. While AI ...

In contrast to traditional supply chain software, which relies on static pricing rules or predefined cost tables, Xometry utilizes a "conversion rate model" that analyzes unique geometric features, ...

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...