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Zachary Lipton

Zachary Lipton

Associate ProfessorCarnegie Mellon University

Zachary Lipton's research spans machine learning methods and their applications in healthcare and natural language processing.

Machine LearningMachine IntelligenceNatural Language Processing (NLP)Deep Learning
Joseph Fung

Joseph Fung

CEOTribeHR

CEO at TribeHR

SEOUser Interface DesignWeb Content Management
Rachel Mandelbaum

Rachel Mandelbaum

ProfessorCarnegie Mellon University

Rachel Mandelbaum's research interests are predominantly in the areas of observational cosmology and galaxy studies.

Galaxy StudiesObservational CosmologyAstronomical SurveysSpace
Professor Jamie Morgan

Professor Jamie Morgan

ProfessorLeeds Beckett

Jamie Morgan lectures in the Subject Area of Economics, Analytics and International Business.

EconomicsAnalyticsInternational Business
Ben Thomas

Ben Thomas

Senior Cloud Engineer

Virtualization Evangelist and Technologist

VmwareVirtualizationPerformance
Michael Anton Dila

Michael Anton Dila

CEOUnfinished Business

Experienced speaker who advocates the devlopment of innovation discipline and tools to create asymmetric advantage

Design ThinkingDemocratizing Innovation
Ian/epredator Hughes

Ian/epredator Hughes

Metaverse EvanagelistFeeding Edge Ltd

Metaverse Evangelist, TV presenter, taking a bite out of technology so you don't have to. Mixing tech with social change

MetaverseVirtual Worlds3d PrintingMaker CultureKids Technology
Juraj Bednar

Juraj Bednar

partner, strategyDIGMIA s.r.o.

mapping unconventional corners of real and imaginary worlds

BitcoinIt SecurityServer Architecture
M. Jahi Johnson-Chappell

M. Jahi Johnson-Chappell

W. K. Kellogg Foundation Endowed Chair in Food, Society and SustainabilityMichigan State University

M. Jahi Johnson-Chappell is a political agroecologist with training in chemical engineering, ecology and evolutionary biology.

Sustainable DevelopmentFood Security PolicyAnti-Hunger EffortsSustainabilityRight to Food
Scott Fahlman

Scott Fahlman

Research Faculty Emeritus - ContingentCarnegie Mellon University

Scott Fahlman has worked in many areas of Artificial Intelligence, including the use of massively parallel machines to solve AI problems.

Artificial Neural NetworksComputer ScienceArtificial IntelligenceKnowledge RepresentationMachine Learning