Klaus-Robert Müller
November 17, 2017 - 2:00 pm
Klaus-Robert Müller, Technische Universität Berlin
Abstract: In recent years, machine learning (ML) and artificial intelligence (AI) methods have begun to play a more and more enabling role in the sciences and in industry. In particular, the advent of large and/or complex data corpora has given rise to new technological challenges and possibilities...
Dr. David Ferrucci
September 15, 2017 - 2:00 pm
Dr. David Ferrucci
Abstract: AI systems should not only propose solutions or answers but also explain why they make sense. Statistical machine learning is a powerful tool for discovering patterns in data, but, Dr. Ferrucci asks, can it produce understanding or enable humans to justify and take reasoned responsibility...
May 26, 2017 - 4:00 pm
Kevin Murphy (Google Research) Host: Josh Tenenbaum
Abstract: In this talk, I summarize some recent work in my group related to visual scene understanding and "grounded" language understanding. In particular, I discuss the following topics:
Our DeepLab system for semantic segmentation (PAMI'17, https://arxiv.org/abs/1606.00915).
Our object detection...
May 5, 2017 - 4:00 pm
Erik Brynjolfsson (MIT)
Title: What Can Machines Learn, and What Does It Mean for Occupations and Industries?
Abstract: This talk will present a preliminary framework and approach for understanding the potential effects of machine learning (ML) on tasks, occupations and industries. Digital technologies have already had a...
April 21, 2017 - 4:00 pm
Jacob Feldman (Rutgers)
Title: Perceptual Organization From a Bayesian Point of View
Abstract: Perceptual organization is the process by which the visual system groups the visual image into distinct clusters or units. In this talk I'll sketch a Bayesian approach to grouping, formulating it as an inverse inference problem...
David Vogel
April 12, 2017 - 2:00 pm
David Vogel, Trustee (Voloridge Investment Management, LLC)
Abstract: The introductory portion of this talk will review some state-of-the-art machine learning techniques. We will discuss concepts of ensembles and popular methodologies within this category. We’ll touch upon collaborative filtering techniques used for recommendation systems, and we’ll present...
Photo of Prof. Amnon Shashua
March 24, 2017 - 4:30 pm
Amnon Shashua - Hebrew University, Co-founder, CTO and Chairman of Mobileye
Abstract: The field of transportation is undergoing a seismic change with the coming introduction of autonomous driving. The technologies required to enable computer driven cars involves the latest cutting edge artificial intelligence algorithms along three major thrusts: Sensing, Planning and...
Ilya Nemenman
February 21, 2017 - 4:00 pm
Ilya Nemenman (Emory College)
Abstract: Last two-three decades have convinced the computational neuroscience community that sensory neurons encode information about the world not just in their firing rate, but also in the precise timing of their action potentials. However, whether this information is used by animals to actually...
February 10, 2017 - 4:00 pm
Dr. Brian Subirana  , Dr. Bror Saxberg
In this talk, Brian Subirana will first review research conducted over the last 120 years since Ebbinghaus's seminal work in 1885 on the forgetting curve. This review (joint work in progress with Aikaterini Bagiati and Sanjay Sarma) aims to understand whether, and to what extent, what is learned in...
Rebecca Saxe and Margaret Livingstone
December 2, 2016 - 4:00 pm
Margaret Livingstone and Michael Arcaro (Harvard Medical School) , Rebecca Saxe (MIT BCS)
Seth Lloyd
April 26, 2016 - 4:00 pm
Seth Lloyd, MIT Department of Mechanical Engineering 
Abstract: The order in which one asks people questions affects the probability of their answers. Similarly, in quantum mechanics, the order in which measurements are performed affects the probability of their outcomes. The quantum order effect has a specific mathematical pattern, which --...
An illustration (pictured) shows a traditional Go board and half showing computer-calculated moves. Image credit Google
April 20, 2016 - 5:00 pm
Demis Hassabis, Google DeepMind
Abstract: Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world’s leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition. Demis will draw on his eclectic experiences as an AI researcher, neuroscientist and...
Photo of Prof. Mark J. Schnitzer
November 13, 2015 - 4:00 pm
Mark J. Schnitzer
Prof. Mark J. Schnitzer, Departments of Biology and Applied Physics, Howard Hughes Medical Institute, Stanford University
Abstract: A longstanding challenge in neuroscience is to understand how the dynamics of large populations of individual neurons contribute to animal behavior and brain disease....
Jaan Tallinn
September 9, 2015 - 4:00 pm
Jaan Tallinn
CBMM will host a brief talk by Jann Tallinn (followed by extensive QAs): Solving Global Coordination
Jaan Tallinn is an Estonian computer scientist who participated in the development of Skype in 2002 and FastTrack/Kazaa, a file-sharing application, in 2000.
He graduated from the University of...
Building newborn minds in virtual worlds
April 28, 2015 - 4:00 pm
Prof. Justin Wood, USC
Abstract: What are the origins of high-level vision: Is this ability hardwired by genes or learned during development? Although researchers have been wrestling with this question for over a century, progress has been hampered by two major limitations: (1) most newborn animals cannot be raised in...