Researchers have found a new approach to incorporating the larger web of relevant data for predictive modeling for individual and community health outcomes. In the U.S., the place where one was born, ...

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...

Digital twins—predictive computer simulations of drug production processes—are only as good as the software from which they are constructed. The key to building them, say researchers, is knowing which ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

Faced with the prospect of developing custom logic for a new, highly parallel processor architecture for a multimedia processor system on chip (SoC), an R&D team had to implement a strategy to ...

BROOKLYN, New York, Thursday, July 29, 2021 – In the U.S., the place where one was born, one’s social and economic background, the neighborhoods in which one spends one’s formative years, and where ...