Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

Engineers at the University of Pennsylvania have developed an AI technique using 'mollifier layers' to solve complex inverse partial differential equations more efficiently and with greater stability.

Researchers at the University of Pennsylvania have introduced 'Mollifier Layers,' an AI-based mathematical approach to solve inverse partial differential equations more reliably and with less ...

Researchers invert a classical approach to modeling food webs. Instead of trying to replicate stable, complex ecosystems using simplistic representations of species interactions, the authors' novel ...

A new publication from Opto-Electronic Advances discusses high performance integrated photonic-circuit-based on inverse design method. With the explosive growth of information and data, photonic ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly ...