NYU Tandon ECE Seminar Series on Modern AI: Samantha Wood

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Anna Choromanska

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Apr 18, 2024, 6:26:06 PM4/18/24
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Dear All,

The last speaker of the Spring 2024 NYU Tandon ECE Seminar Series on Modern AI is Samantha Wood from the Informatics Department of the Luddy School of Informatics, Computing, and Engineering at the Indiana University Bloomington. She will speak on the 30th of April at 11.00 am. The event is held in-person and also broadcasted via zoom:


The details of the event are provided below. NYU Tandon is looking forward to seeing you all!!!


Department of Electrical and Computer Engineering

NYU Tandon - Born Anywhere, Made in Brooklyn

Headshot of Samantha Wood



Tuesday, April 30, 2024
Time: 11:00 AM
In-person: 370 Jay Street, Room 825
Zoom 

Contact: ece-anno...@nyu.edu

Register

Dr. Samantha Wood is an Assistant Professor in the Informatics Department of the Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington. She received her B.A. from Harvard University in Social Studies and her M.A. and Ph.D. from the University of Southern California in Psychology, with a focus on Brain and Cognitive Science.  Dr. Wood works at the intersection of artificial intelligence (AI) and cognitive science, with a focus on understanding how brains learn to build perceptual and conceptual knowledge.


Dr. Wood’s research focuses on how newborn brains learn to make sense of the world. What algorithms allow brains (without prior experience or instruction) to convert streams of high-dimensional sensory input into knowledge and adaptive action? Using tools from AI, Dr. Wood formalizes theories from psychology as agent-based models that use deep neural networks to perform the same tasks as humans and animals. By simulating the development of intelligence using artificial agents raised in realistic virtual reality worlds, Dr. Wood aims to build predictive, integrative, and embodied models for psychology and neuroscience.

Reverse-Engineering the "Recipe" for Object Perception

 

For centuries, philosophers and psychologists have debated the origins of the mind. What are the necessary “ingredients” for perceiving and understanding the world around us? A key puzzle is object perception: understanding the essential components that enable a mind to recognize and make sense of objects in its surroundings. Using parallel controlled-rearing experiments on newborn animals and artificial intelligence (AI) models, we will start to build, from scratch, the recipe for functional object perception, including the training data, visual system, motor system, and learning rules needed. By using controlled-rearing experiments with newborn animals, we can precisely record and manipulate all of the visual stimuli that are available from birth to test how visual experience impacts object perception. By “rearing” AI models in the same environments as animals and testing them on the same tasks, we can use AI models as task-performing models of developing animal minds. I will argue that this reverse-engineering approach provides an integrative framework for linking the study of artificial and biological intelligence


This event is free and open to the public.

The Seminar Series in Modern Artificial Intelligence is held at NYU Tandon School of Engineering and is hosted by the Department of Electrical and Computer Engineering. Organized by Professor Anna Choromanska, the series aims to bring together faculty and students to discuss the most important research trends in the world of AI. The speakers include world-renowned experts whose research is making an immense impact on the development of new machine learning techniques and technologies and helping to build a better, smarter, more-connected world.

 

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NYU Tandon School of Engineering, 1 MetroTech Center, 19th Floor, Brooklyn, NY 11201

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--
Anna Choromanska

Associate Professor

Alfred P. Sloan Fellow

Department of Electrical and Computer Engineering

NYU Tandon School of Engineering

New York University

Room 802

370 Jay Street

New York, NY 11201, USA

Office phone: 646.997.0269

ac5455 at nyu dot edu

achoroma at gmail dot com

https://engineering.nyu.edu/faculty/anna-choromanska


Anna Choromanska

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Apr 22, 2024, 8:48:34 PM4/22/24
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