North Carolina State researchers have developed a framework for deep neural networks that allows artificial intelligence (AI) systems to become better at performing previous tasks by learning from its prior actions.
Texas A&M University researchers have been awarded a National Science Foundation (NSF) grant to research data mining to optimize decision making in the software brain.
IIoT series, Part 1: Five ways to use cloud and IIoT to improve productivity: Your questions answered
Webcast presenters Alan Griffiths and Mohamed (Mo) Abuali, Ph.D. answered additional questions about topics such as augmented reality, 5G technology, and predictive analytics.
CEOs Tim Cook, Bill McDermott discuss move to Mac functionality, data security.
North Carolina State University researchers have developed a technique that reduces training time for deep learning networks without sacrificing accuracy.
Rice University engineers have developed faster techniques to model atom-flat materials for bottom-up design.
Process manufacturers face many challenges when choosing enterprise resource planning (ERP) software due to many challenges with codes and standards and constant maintenance.
Momentum around time-series data storage suggests a new chapter for a legacy offering.
A technique developed by MIT researchers frees up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.
Researchers have developed a battery testing technique that could help bring new designs to the market more quickly and enable more efficient batteries for electric vehicles and other applications.