Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review
Brains, Minds + Machines Seminar Series: The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving
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 Mapping. I will describe the challenges and the kind of machine learning algorithms involved, and will do that through the perspective of Mobileye’s activity in this domain.
Biography: Prof. Amnon Shashua holds the Sachs chair in computer science at the Hebrew University of Jerusalem. His field of expertise is computer vision and machine learning. For his academic achievements, he received the MARR prize Honorable Mention in 2001, the Kaye innovation award in 2004, and the Landau award in exact sciences in 2005.
In 1999 Prof. Shashua co-founded Mobileye, an Israeli company developing a system-on-chip and computer vision algorithms for a driving assistance system, providing a full range of active safety features using a single camera. Today, approximately 10 million cars from 23 automobile manufacturers rely on Mobileye technology to make their vehicles safer to drive.
In 2010 Prof. Shashua co-founded OrCam which harnesses the power of artificial vision to assist people who are visually impaired or blind. The OrCam MyEye device is unique in its ability to provide visual aid to hundreds of millions of people, through a discreet wearable platform. Within its wide-ranging scope of capabilities, OrCam's device can read most texts (both indoors and outdoors) and learn to recognize thousands of new items and faces.
Organizer: Tomaso Poggio Organizer Email: tp@ai.mit.eduCBMM Postdoc Meeting: EAC Poster Session Planning and NSF STC Site Visit review
We will be meeting to discuss our center’s upcoming External Advisory Committee (EAC) Meeting (March 23rd & 24th) and NSF STC Site Visit (May 15th-17th.) CBMM Research Thrust Leaders will discuss overall goals for these events, as well as coordinate the respective poster sessions.
Organizer: Georgios Evangelopoulos Organizer Email: gevang@mit.eduCBMM Research Meeting: The compositional nature of human function learning
CBMM Postdoc Meeting: Practical Approaches to Industry AI Inspired by Principles of Synaptic Computation
Title: Practical Approaches to Industry AI Inspired by Principles of Synaptic Computation
Abstract: Artificial cognitive systems are beginning to arise in organizations with an emerging nature and structure. Neuroscientific principles are poised to transform this landscape for reasons that we will discuss. Nara Logics, a neuroscience-inspired AI company with roots in Building 46, is among the first startups to achieve production AI deployments in multiple large organizations through a general-purpose brain-like framework. This has allowed us to catalog challenges that AI implementations face which are uniquely amenable to approaches that our brains and minds adopted during evolution. We will discuss advantages of the type of work being done in CBMM for developing AI that is closer to the natural calculus of thought, and more compatible with biological frameworks.
Speaker Bio: Nathan Wilson is a BCS alumnus and co-founder of Nara Logics, an AI company that leverages neuroscience principles for business recommendations (https://naralogics.com/). Nathan is the driving force behind Nara's revolutionary neural network technology, and has spent his career as an expert at the intersection of neuroscience and computer science. He holds a Ph.D. from MIT in brain and cognitive sciences, a Master's in computer science and artificial intelligence from Cornell, and has numerous patents and publications in top journals including Nature, Neuron, and the MIT Press.
Organizer: Hector Penagos Organizer Email: penagos@mit.edu
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