Scientists sometimes compare predicting the course of epidemics to forecasting the weather. But there's a major difference—the impact of human behavior—says Alessandro Vespignani, director of ...

The ability to analyze gene expression at the single-cell level—known as single-cell RNA sequencing (scRNA-seq)—has ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...

Bright Data beat Elon Musk's X and Meta in court, then launched $100M AI infrastructure suite with Deep Lookup and Browser.ai to challenge Big Tech data monopolies.

INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

Stock movement prediction has been a challenging and relevant task for both conventional machine learning and deep learning methods. Multiple approaches have been developed in the literature with the ...

Continual learning models allow them to learn and adapt to new changes and tasks over time. However, in continual and sequential learning scenarios, in which the models are trained using different ...