Faculty Friday: Discover Experiential AI Virtual Photo Album

Friday April 15, 2022

This week for Faculty Friday, we want to pay special tribute to all of the fantastic faculty members, students, and guest speakers who helped make our Discover Experiential AI launch event a success!

Faculty Friday: Experiential AI Can Help Achieve Business and Research Goals

Friday April 1, 2022

We’re counting down to the Institute for Experiential AI’s launch event with a teaser video featuring our executive director, Usama Fayyad, and other EAI faculty as they discuss how AI impacts their work.

Faculty Friday with Dr. Karen Quigley: Using Machine Learning to Find Unique Physiological Signatures of Human Feelings

Karen Quigley

Friday March 25, 2022

Professor of Psychology, Karen Quigley, shares how she uses machine learning to help identify the physiological signatures that occur as people experience feelings when engaging in real-world settings.

Faculty Friday with Lawson Wong: Using Reinforcement Learning to Help Robots Better Understand Human Environments

Lawson Wong

Friday March 18, 2022

Assistant Professor of Computer Science, Lawson Wong, discusses how reinforcement learning helps robots completely understand the complexity of their environments to inform decision-making and work better in human settings.

Faculty Friday with Sarah Ostadabbas: Enabling Advanced AI Algorithms to Solve Visual Perception Problems in the Small Data Domain

Sarah Ostadabbas

Friday March 4, 2022

Northeastern University Assistant Professor Sarah Ostadabbas explains how her multidisciplinary research in machine learning and pattern recognition can solve visual perception problems in the small data domain.

Faculty Friday with Chris Amato: Training Intelligent Machines Through Real-World Interactions

Christopher Amato

Friday February 25, 2022

In this week's Faculty Friday video, Northeastern University Assistant Professor and EAI faculty member Chris Amato describes how reinforcement learning enables intelligent interactions between humans and machines.