Columbia University School of Professional Studies

Teaching and Learning in the Age of AI

At the inaugural Columbia SPS Faculty Summit on AI Teaching and Learning, faculty and industry experts explored AI’s emerging ...
IEEE

EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data

Abstract: Data augmentation is an effective way to overcome the overfitting problem of deep learning models. However, most existing studies on data augmentation work on framelike data (e.g., images), ...
IEEE

Asynchronous Federated Learning via Over-the-Air Computation in LEO Satellite Networks

Abstract: Owing to its ability to offer collaborative data utilization while ensuring data privacy, federated learning (FL) provides a promising paradigm to enable cooperative intelligent tasks across ...
Opinion
LEVEL Man on MSNOpinion

How AI has negatively affected asynchronous learning

The emergence of tools like ChatGPT complicates the ability of instructors to assess genuine learning, raising concerns about the future of this educational model.