A conversation on the articles published in Feedforward April - June 2025

After a brief intro highlighting issues and solutions for data privacy in machine learning settings, Prof. Gautam Kamath answers questions related to data privacy, machine unlearning, research, academia, career advice, and anything in between.

The panel discussion explores the potential of generative AI in enhancing medical care. Generative AI holds immense promise for transforming healthcare, but ethical considerations, thorough validation, and responsible implementation are essential. Careful attention to these challenges will unlock the full potential of AI to improve diagnosis, treatment, and overall patient care. The panelists delved into a range of questions on leveraging the predictive power of GenAI for personalized medicine, enhanced diagnostics, ethical dilemmas, and more.

Topics covered include neuromorphic hardware, spiking neural networks, big data processing frameworks, Hadoop, Spark, Mining Streaming data

Speaker, Raghavendra K. Chunduri is working as a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering, at the University of Colorado, Colorado Springs

Moderator, Vishnu S. Pendyala, PhD is a faculty in Applied Data Science at San Jose State University.

Panelists:

Dr. Katharina Koerner, Tech Diplomacy Network, USA

Recently, the news media has been filled with reports and debates on the powers and dangers of Artificial Intelligence. Adding to the confusion, even experts have been differing in their opinions. This panel discussion is intended to help clarify and provide interesting perspectives on the topic. It was featured in ICADS ’23: Second International Conference on Applied Data Science organized by the chapter.

Panelists: Prof. Charalampos Patrikakis, Manish Mradul, Dr. Vishnu Pendyala, Prasanna Vijayanathan, Krupa Kothadia