April 13, 2018 - 4:30 pm
Christof Koch, CBMM EAC member, Allen Institute for Brain Science
Abstract:
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have extended conversations with programmable systems,...
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have extended conversations with programmable systems,...
April 12, 2018 - 4:30 pm
Marge Livingstone, CBMM, Harvard Medical
Host: Tomaso Poggio
This talk is open to the CBMM Community only
This talk is open to the CBMM Community only
February 16, 2018 - 4:00 pm
Ann M. Hermundstad, PhD, Janelia Research Campus
Abstract: The brain exploits the statistical regularities of the natural world. In the visual system, an efficient representation of light intensity begins in retina, where statistical redundancies are removed via spatiotemporal decorrelation. Much less is known, however, about the efficient...
December 15, 2017 - 4:30 pm
Jeff Hawkins, Co-Founder, Numenta
Please note the change in start time. This talk will be starting at 4:30pm, on Friday, Dec. 15, 2017.
Abstract: In this talk I will describe a theory that sensory regions of the neocortex process two inputs. One input is the well-known sensory data arriving via thalamic relay cells. We propose...
Abstract: In this talk I will describe a theory that sensory regions of the neocortex process two inputs. One input is the well-known sensory data arriving via thalamic relay cells. We propose...
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...
November 3, 2017 - 4:00 pm
McGovern Seminar Room (46-3189)
Ryan Cotterell
Title: Probabilistic Typology: Deep Generative Models of Vowel Inventories
Abstract: Linguistic typology studies the range of structures present in human language. The main goal of the field is to discover which sets of possible phenomena are universal, and which are merely frequent. For example,...
Abstract: Linguistic typology studies the range of structures present in human language. The main goal of the field is to discover which sets of possible phenomena are universal, and which are merely frequent. For example,...
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...
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...
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...
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...
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...
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...
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...
December 2, 2016 - 4:00 pm
Margaret Livingstone and Michael Arcaro (Harvard Medical School)
, Rebecca Saxe (MIT BCS)