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X-WR-CALNAME:Columbia Entrepreneurship
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X-WR-CALDESC:Events for Columbia Entrepreneurship
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BEGIN:VEVENT
DTSTART;TZID=UTC:20170511T160000
DTEND;TZID=UTC:20170511T173000
DTSTAMP:20260405T205215
CREATED:20170503T183217Z
LAST-MODIFIED:20170503T183217Z
UID:8192-1494518400-1494523800@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute-Industry-Innovation Seminar: Surveillance and Social Situational Awareness
DESCRIPTION:This talk will describe a variety of methods that have been developed for the purposes of understanding group level social behaviors using stand-off video surveillance methods. Three main topics are considered: 1) the GE Sherlock System: a comprehensive approach to capturing and analyzing non-verbal cues of persons in crowd/group level interactions\, 2) One Shot Learning: a new approach to crowd level behavior recognition based on the concept that a new behavior can be recognized with as little as a single example and 3) Agent Based Inference: a novel approach to the analysis of individual cognitive states of person?s interacting in a group or crowd level social interactions. The talk starts with a description of the GE Sherlock system which encompasses methods such as person tracking in crowds\, dynamic PTZ camera control\, facial analytics from a distance such as gaze estimation and expression recognition\, upper body affective pose analysis and the inference of social states such as rapport and hostility. The talk then discusses how cues derived from the Sherlock system can be used to construct semantically meaningful behavior descriptors or affects allowing for signature matching between behaviors which can be viewed as a form of one shot learning. Going beyond affects based on direct observation\, we argue that more meaningful affects can be constructed via the inference of the cognitive states of each individual. To this end we introduce the Agent Based Inference framework. The talk concludes with a discussion of how such methods are making their way into commercial use via efforts such as the intelligent city\, the intelligent airport and the intelligent hospital. \nGET MORE INFORMATION HERE.
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-industry-innovation-seminar-surveillance-social-situational-awareness/
LOCATION:CEPSR 750\, New York City\, 10027
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170511T160000
DTEND;TZID=UTC:20170511T173000
DTSTAMP:20260405T205215
CREATED:20170509T204122Z
LAST-MODIFIED:20170509T204122Z
UID:8248-1494518400-1494523800@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute-Industry-Innovation Seminar: Peter Marx\, General Electric
DESCRIPTION:Peter Marx\, Vice President\, Advanced Projects\, GE Digital Adjunct Professor\, USC \nTITLE: How the New Availability of Urban and Industrial Data are Impacting Our World from Public Safety to Jet Engines \nThis talk discusses how newly available data from cities and industry\, from sensing and activities\, and from transactions and services are driving change across our world. Cities are increasingly using data to drive new efficiencies and insights in the urban world. For example\, policing and public safety services are ever-more data-driven and transparent with data being more widely distributed than at any point in the past. Similarly\, industry is changing from being traditionally physical into becoming more digital through the distribution of data. New availability of sensing data through the emerging Industrial Internet of Things (IIoT)\, for example\, is allowing for increasing levels of predictive maintenance and qualities of service. Highly personalized healthcare is now possible because of data being made available digitally from everywhere from our worn devices to imaging of our bodies to our genetics themselves. \nThis discussion will draw on General Electric?s activities driving the Industrial Internet of Things (IIoT) and Predix\, as well as from leading cities like Los Angeles\, Singapore\, and Dubai. We will touch upon technologies such as machine learning (AI) and other types of analytics\, as well as computer vision (CV)\, connectivity (5G and private LTE)\, and mixed reality. \nCLICK HERE FOR MORE INFORMATION.
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-industry-innovation-seminar-peter-marx-general-electric/
LOCATION:Schapiro Building Room 750\, 530 West 120th Street\, New York City\, 10027\, United States
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170511T180000
DTEND;TZID=UTC:20170511T190000
DTSTAMP:20260405T205215
CREATED:20170426T194538Z
LAST-MODIFIED:20170426T194538Z
UID:8124-1494525600-1494529200@entrepreneurship.columbia.edu
SUMMARY:Improving Health-Care: Challenges and Opportunities for Reinforcement Learning
DESCRIPTION:Reinforcement learning offers a powerful paradigm for automatically discovering and optimizing sequential treatments for chronic and life-threatening diseases. In particular\, we will focus on how data collected in multi-stage sequential trials can be used to automatically generate treatment strategies that are tailored to patient characteristics and time-dependent outcomes. We will also examine promising methods to improve the efficiency of clinical trials through adaptation. Examples will be drawn from several ongoing research projects on developing new treatment strategies for epilepsy\, mental illness\, diabetes\, and cancer. \nREGISTER HERE \nThis event is part of the NYC Data Science Seminar Series\, organized by MSR NYC\, Facebook\, NYU Center for Data Science\, Columbia University\, and Cornell Tech\, with the Jacobs Technion-Cornell Institute.\nMore information can be found here.
URL:https://entrepreneurship.columbia.edu/event/improving-health-care-challenges-opportunities-reinforcement-learning/
LOCATION:Davis Auditorium\, Schapiro\, New York City\, 10027\, United States
CATEGORIES:Columbia Data Science Institute
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