A.I. and Beyond 20230927

INTRO SECTION

2:00-2:05 EDT

Welcome from AFOSR
TBD

2:05-2:08 EDT

Outlining Goals
Doug Riecken, AFOSR

THINKER/SPEAKER SECTION

X-X ET

Remarks and Panel Discussion

Each speaker will present in X min their question(s) and a couple of comments to communicate the key ideas – then at least two or more of the other four speakers will comment on the question(s) for X min in order to explore more details. Speaking order:

List of speakers:

Carla Gomes
Eric Horvitz
Kimberly Sablon
Steven "Cap" Rogers
Tom Mitchell
Yann LeCun

OPEN DISCUSSION BY SPEAKERS WITH ALL ATTENDING

X-X ET

Interactive Discussion

We invite all attendees to pose questions/topics for the panel speakers

TBD. Full bio.

Eric Horvitz, X

TBD. Full bio.

Tom Mitchell, School of Computer Science at Carnegie Mellon University

Mitchell's research lies in machine learning, artificial intelligence, and cognitive neuroscience. His current research includes developing machine learning approaches to natural language understanding by computers, as well as brain imaging studies of natural language understanding by humans. A pioneer in artificial intelligence and machine learning, Mitchell’s research focuses on statistical learning algorithms for discovering how the human brain represents information and for enabling computers to understand the meaning of what humans say and write. His work with colleagues in the Psychology Department produced the first computational model to predict brain activation patterns associated with virtually any concrete noun, work that has since been extended to other word types, word sequences and emotions. His Never Ending Language Learner is a computer program that searches through web pages 24/7 as it teaches itself to read. Full Bio

Doug Riecken, AFOSR program officer for the Science of Information, Computation, Learning, and Fusion

Riecken is a trained concert pianist with a B.A. from the Manhattan School of Music and studies at the Julliard School of Music. He spent many years performing classical, jazz, and rock styles on international concert tours with world-renowned artists before he switched to a career in cognitive and computing science. He received his PhD from Rutgers University under thesis advisor Dr. Marvin Minsky from MIT; a founding father of artificial intelligence. Riecken and Minsky spent 30+ years in friendship researching learning and the mind. Riecken is a thought leader in the areas of big data analytics and machine learning, human-computer interaction and design, knowledge discovery and data mining, global cloud enterprise architectures, and privacy management. He joined the Air Force Office of Scientific Research as a program officer in 2014 and is a senior member of the AFRL ACT3 team. Full Bio

Stephen "Cap" Rogers, AFRL Automatic Target Recognition and Sensor Fusion 

Cap serves as the principal scientific authority and independent researcher in the field of multi-sensor automatic target recognition and sensor fusion. He initiates, technically plans, coordinates, evaluates, and conducts research and development to advance the knowledge of interdisciplinary ATR and sensor fusion systems for all Air Force aircraft, missile and space systems. Rogers leads collaboration across AFRL in object detection, tracking, geo-location, identification and supporting technologies. He also conducts research and development activities in the broad area of ATR and sensor-fusion technology including phenomenology modeling, model-based and learning algorithms, evaluation and tracking. He also conducts research and development in image and signal processing, synthetic target and scene modeling, resource allocation and evidence accrual aimed at decreasing the cost and improving the performance of Air Force and Department of Defense systems. Full Bio