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Synchronized Networks "Limits of AI" Masterclass

BRAINCITIES LAB

Tuesday, June 25, 2019 from 8:30 AM to 12:00 PM (CEST)

Synchronized Networks "Limits of AI" Masterclass

Ticket Information

Ticket Type Sales End Price Fee Quantity
RSVP Ended €1,200.00 €0.00

Event Details

 

 

None of the people in these images are real.

They’ve just been generated by a neural network!




 

We can now use Artificial Intelligence to create human faces, cars, cats, scientific papers, new molecules and more that do not exist in the real world. Generative Adversarial Networks enable us to create digital twins of almost everything. These adversarial examples are our starting point for a new way of doing ANN analyses and design, where nonlinear and chaotic events naturally dominate while synchronisation equilibrium patterns melees.

 

This course will give you the opportunity to not only follow the trend - but be part of it!
Learn how to use the most advanced AI techniques during a 3 hours masterclass,
walking away with in-depth knowledge into Synchronized Networks.

 

 

Topics covered in Masterclass


Key topics: supervised learning (discriminative learning, parametric / non-parametric methods, neural network architectures, unsupervised learning (clustering, dimensionality reduction, kernel methods), learning theory (bias/variance trade-offs, practical advice), graph theory and dynamical systems. The course will also discuss recent applications of machine learning and scientific research, such as to robotic control, data/text mining, sequential pattern mining and adaptive control, link prediction, community detection, autonomous navigation, bioinformatics, speech recognition, and text/web data processing.

 

 

Outline of Masterclass


Data preprocessing, dataset generation and augmentation techniques. Time series analysis and recursive learning methods for behaviour analytics.

 

Dataset ‘hybridation’, how to include qualitative data into purely quantitative datasets?

 

The role of chaos in classifier and regression predictions, weight spaces as probability distribution functions. Cross-validation, error propagation and estimation of systematic uncertainties.

 

 

Outcome

1. The ability to investigate how different approaches have an impact on your implementation of an AI strategy plan.

 

2. The skills, knowledge, and experience needed to compile an AI strategy for any industry of your choice.


3. A concrete learning experience based on practical use-cases.

 

 

 


MASTERCLASS INSTRUCTORS




Dr. Daniel S. Covacich
Daniel is the Chief Data Officer at BRAINCITIES LAB since July 2018.

As a physicist, researcher and former member of CERN, he has collaborated to high energy particle physics studies, involving big-data, high precision measurement, simulation and phenomenology analyses in strong nuclear interaction experiments performed at the Large Hadron Collider (LHC).  Additional to more than 10 years of experience working in academic research, data analytics, R&D and instrumentation solutions for the mining industry.

He is now focused on Deep Machine Learning methods to solve a wide variety of problems using computer vision, natural language processing, and recurrent neural networks.

Jorge Ruiz

Jorge is currently a Ph.D. researcher at the Technische Universität Berlin, Germany based in the Bernstein Center for Computational Neuroscience, since his M.Sc. in Theoretical Physics. He studied topological aspects of real-world graphs, implementing new approaches to improve the state of the art algorithms in community detection and link prediction for multilayer complex networks. Jorge is currently studying dynamical processes analytically and performing numerical simulations, specifically on synchronization phenomena, being his main goal to understand the interplay between network topology and synchronization in diverse systems. Some current and potential applications of this work includes the modeling of real biological neuronal networks, social networks recommendations, self-organization in mobile autonomous agents, time series inference, optimization algorithms, blockchain analysis, and artificial neural networks.

 


SCHEDULE

 

Door Opening: 8:30 PM
Start: 9 AM
End: 12 PM


For more information on the Masterclass contact Kym Yeardley kym.yeardley@braincities.co

 

 

PRACTICAL INFORMATION

 

Getting here:
BpiFrance, 6 Boulevard Haussmann Paris 75009
Metro: Richelieu - Drouot (line 8 & 9)

 

Tickets price: 1,200€ (part proceedings will go towards Eventbrite fees)

#LimitsofAI

 

 

Have questions about Synchronized Networks "Limits of AI" Masterclass? Contact BRAINCITIES LAB

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When & Where


Bpifrance
8 Boulevard Haussmann
75009 Paris
France

Tuesday, June 25, 2019 from 8:30 AM to 12:00 PM (CEST)


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Organizer

BRAINCITIES LAB

BRAINCITIES bridges the gap between Humans and their ever-changing environments by making ecosystems like Cities and Companies Smarter With its Human-Supportive Artificial Intelligence.

Founded in 2013, BRAINCITIES LAB is a French Startup based in Paris. The company specializes in Artificial Intelligences and Data Science. We create dynamically evolving knowledge bases to train then fuel our predictive models and measure the maturity of evolving processes.

We combine our Artificial Intelligence with a deployable distributed infrastructure as a service: DATACHAIN. DATACHAIN and our universal personal data wallet, are natively compliant with European GDPR regulations. The associated services and protocols secure the data used by our Algorithms to provide accurate and reliable recommendations to individuals, businesses, and governments. Datachain's infrastructure is powered by a neural network, which will ultimately be the first decentralized cognitive operating system. By 2025 DCoS will endow all computerized equipment with judging and empathy capabilities for better interactivity with humans.

Looking for a solution to growing your business with AI, today?

Contact us:


21 Bvd Haussmann
75009, Paris
Tel. +331 56 03 67 52
Tel. +447 413 341 581
contact@braincities.co
www.braincities.co

 

 

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