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Thieves Recognition More Smarter Catches Id York's Face New Thieves Recognition More Smarter Catches Id York's Face New
 
 
With Animesh Singh (Program Dir., IBM Watson).
Tuesday, April 24, 2018 at 06:00 PM   Absolutely Free
ITU Auditorium at International Technological University, 2711 N 1st St
 
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LOCATION
DETAILS
April 24, 2018, 6:00-8:00PM

Animesh Singh STSM - AI & Deep Learning on Cloud Member of IBM Academy of Technology,San Jose
Thieves Recognition More Smarter Catches Id York's Face

Thieves Recognition More Smarter Catches Id York's Face
Palm Begins Federally – Dmv News Id Offering Springs Nbc Approved News Licenses California Weather Breaking Drivers Real TrafficLocation: ITU Auditorium, International Technological University 2711 N 1st St., San Jose, CA 95134
(Register here)
Thieves Recognition More Smarter Catches Id York's Face

IEEE Computer Society of Silicon Valley


Thieves Recognition More Smarter Catches Id York's Face
IEEE Communication Society Santa Clara Valley Chapter
Thieves Recognition More Smarter Catches Id York's Face



PROGRAM
6:00 - 6:30 PM Networking & Refreshments 6:30 - 7:45 PM Talk 7:45 - 8:00 PM Q&A/Adjourn
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Abstract:
Thieves Recognition More Smarter Catches Id York's Face
Training deep neural network models requires a highly tuned system with the right combination of software, drivers, compute, memory, network, & storage resources.
Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, & MXNet have contributed to the popularity of deep learning by reducing the effort & skills needed to design, train, & use deep learning models. Fabric for Deep Learning (FfDL, pronounced fiddle) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes.
In this talk we are going to introduce an open source project called Fabric for Deep Learning (FfDL). It uses a microservices architecture to reduce coupling between components, keep each component simple & as stateless as possible, isolate component failures, & allow each component to be developed, tested, deployed, scaled, & upgraded independently.
Bio:
Animesh Singh is an STSM & Program Director for IBM Watson & Cloud Platform, currently leading Machine Learning & Deep Learning initiatives on IBM Cloud. He has been with IBM for more than a decade & is currently working with communities & customers to design & implement DeepLearning, Machine Learning & Cloud Computing frameworks. He has been leading cutting edge projects for IBM enterprise customers in Telco, Banking, & Healthcare Industries, around cloud & virtualization technologies. He has a proven track record of driving design & implementation of private & public cloud solutions from concept to production. He also led the design & development first IBM public cloud offering, & was the lead architect for Bluemix Local. Find Animesh on Twitter @AnimeshSingh.
Animesh Singh
Venue:
ITU Auditorium, International Technological University 2711 N 1st St., San Jose, CA 95134

Theater style auditorium, capacity 250 people
Free parking at the ITU, first-come, first-serve basis
Attendees can only enter the building via the main entrance.
All attendees are required to check in at the front desk.
Food & drinks will be provided

Open to all to attend
Thieves Recognition More Smarter Catches Id York's Face Thieves Recognition More Smarter Catches Id York's Face
(Online registration is needed. If you did not register, seating is not guaranteed.)
 
 
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Over 100 arrests have followed since a tech upgrade in January.New York's smarter face recognition catches more ID thieves