Embedded thumbnail for The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving
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March 25, 2017
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Brains, Minds and Machines Seminar Series
Brains, Minds, and Machines Seminar Series: 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...
Embedded thumbnail for An Introduction to Spike Sorting
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March 23, 2017
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Computational Tutorials
Jai Bhagat and Caroline Moore-Kochlacs, MIT Description: In in vivo animal models, neuroscience experiments in electrophysiology are commonly performed with the use of extracellular electrodes that get implanted in the cell layer of specific brain regions of interest. These electrodes record...
Embedded thumbnail for Spike Timing in Motor Control
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February 21, 2017
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CBMM Special Seminars
Ilya Nemenman, Emory University 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...
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February 16, 2017
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Computational Tutorials
Evan Remington, MIT  An introduction to the OpenMind computing resources, and best practices when using it.
Embedded thumbnail for Singularity on OpenMind
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February 16, 2017
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Computational Tutorials
Satrajit Ghosh, MIT The tutorial will focus on singularity, an HPC container service, and how to incorporate it into your openmind workflow.
Embedded thumbnail for On The Forgetting Of College Academics And The Role Of Learning Engineering In Building Expertise
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February 10, 2017
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CBMM Special Seminars
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...
Embedded thumbnail for Multilingual representations for low-resource speech processing
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February 10, 2017
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Speech Representation, Perception and Recognition
Brian Kingsbury, IBM Abstract: A key to achieving good automatic speech recognition performance has been the availability of vast amounts of labeled and unlabeled speech and text data that can be used to train speech models; however, there are thousands of languages in the world that we would like...
Embedded thumbnail for Unsupervised Learning of Spoken Language with Visual Context
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February 10, 2017
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Speech Representation, Perception and Recognition
Jim Glass, MIT Abstract: Despite continuous advances over many decades, automatic speech recognition remains fundamentally a supervised learning scenario that requires large quantities of annotated training data to achieve good performance. This requirement is arguably the major reason that less...
Embedded thumbnail for Deep Generative Models for Speech and Images
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February 10, 2017
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Speech Representation, Perception and Recognition
Yoshua Bengio, U. Montreal
Embedded thumbnail for Generative Model-Based Text-to-Speech Synthesis
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February 10, 2017
Part of
Speech Representation, Perception and Recognition
Heiga Zen, Google Abstract: Recent progress in generative modeling has improved the naturalness of synthesized speech significantly.  In this talk I will summarize these generative model-based approaches for speech synthesis and describe possible future directions.

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