AI techniques excel at solving complex equations in physics, especially inverse problems

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
IEEE

Cost-Aware Placement and Enhanced Lifecycle Management of Service Function Chains in a Multidomain 5G Architecture

Abstract: Service providers highly rely on network softwarization for addressing the demanding use cases of the 5G verticals. In order for the 5G vertical scenarios to be seamlessly executed, where ...
Harvard Business Review

Getting AI to Scale

Don’t try to change everything at once, but do begin with something important. by Tim Fountaine, Brian McCarthy and Tamim Saleh Most CEOs recognize that artificial intelligence has the potential to ...
C&EN

Sequence Divergence in the Arginase Domain of Ornithine Decarboxylase/Arginase in Fusobacteriacea Leads to Loss of Function in Oral Associated Species

Department of Chemistry, University of British Columbia, Okanagan Campus, 3247 University Way, Kelowna V1V 1V7, Canada ...
IEEE

A Domain-Adaptive Physics-Informed Neural Network for Inverse Problems of Maxwell's Equations in Heterogeneous Media

Abstract: Solving Maxwell's equations is crucial in various fields, like electromagnetic scattering and antenna design optimization. Physics-informed neural networks (PINNs) have shown powerful ...