The MIT-Air Force AI Accelerator, will conduct fundamental research directed at rapid deployment of artificial intelligence (AI) innovations in operations, data management, cybersecurity, and vehicle safety.
Getting the most out of an investment in manufacturing IT seldom produces the desired results unless a simultaneous review and redesign of business processes is undertaken.
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.