MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...
By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...
Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development. Whether the goal is to identify new applications for known materials or to ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Open radio access network (RAN) technology remains a work in process due to complexity and integration challenges, but an increasing number of operators and vendors are getting behind AI as a way to ...
Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
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