HP and Carnegie Mellon Make Quantum Leaps in Data Science

Professors and postdoctoral researchers at Carnegie Mellon University, including from the School of Art and the School of Computer Science, are researching electronic and time-based media, automated machine learning, and explainable AI. On-premises GPU-accelerated workstations are being used to test workflow improvements and simulation responsiveness.

Outcomes: Learn how to conduct applied research partnerships * Learn how to link data science technology with next-gen teaching, research, and learning workflows * Learn how to drive thought leadership in higher education