China and U.S. signal openness to AI patents in the AI race, but applicants should proceed carefully

Kirk Sigmon and Hengyi Jiang of Banner & Witcoff Ltd. examine recent policy shifts in both China and the U.S. that signal a ...
Northwestern's McCormick School of Engineering

PhD Student Spotlight: Payal Mohapatra

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.
IEEE

MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
IEEE

Hybrid Quantum-Classical Transfer Learning for Real-Time Data Processing

Abstract: Transfer learning is a set of techniques to apply skills or knowledge from a source task to a target task that is different but related, while Hybrid Quantum-Classical Transfer Learning ...