Core Computational Software: Xcelium ML August 12, 2020 Cadence | AWR No Comments Using machine learning technology and core computational software, Xcelium ML enables up to 5X faster verification closure on randomized regressions.Read More
Cadence® AWR Design Environment® Version 15 May 13, 2020 Cadence | AWR No Comments Cadence® AWR Design Environment® Version 15 release provides key features, add-on modules, enhancements driven by 5G, and more.Read More
A New Frontier for Power Amplifiers Enabled by Machine LearningBy Rui Ma and Mouhacine Benosman, Mitsubishi Electric Research Laboratories, Cambridge, Mass. and Yuji Komatsuzaki, Koji Yamanaka and Shintaro Shinjo, Mitsubishi Electric Corporation, Kamakura, JapanSubscribe
Model-Based Optimization Outperforms LNA Datasheet SpecificationsBy Chris DeMartino, Hugo Morales and Larry Dunleavy, Modelithics Inc., Tampa, Fla.
Updating the Historical Record: Gustav Engisch, Not Marconi, Believed to Have Conducted Early Wireless Experiments in SwitzerlandBy Giuseppe Pelosi, Department of Information Engineering, University of Florence
