Machine Learning for a smarter world
22-03-2016 :: Leuven, Belgium

Organizer: Leuven.Inc in cooperation with imec

We have never been surrounded by so many digital devices that produce a vast and continuous stream of data. Opportunities to learn from these data occur in virtually every application field, from personalized healthcare, over advanced factory and home automation to autonomous vehicles and robots.

  
The challenge, however, is to efficiently make sense from this vast amount of sensory data and extract knowledge on the fly. Solving this challenge requires a close collaboration between the fields of artificial intelligence, machine learning, micro-electronics and the targeted application domains.
 
The Flanders region is home to a world-renowned ecosystem on machine learning, with a very tight collaboration between researchers focusing on algorithmic issues, hardware implementations and applications. Machine learning has seen a strong uprise in the past decade and is rapidly and radically changing many technologies.
 
This seminar will provide a top-down dive into the opportunities and challenges of applying machine learning in several contexts. After an overview of the topic, speakers from academia will present the state-of-the-art findings from the algorithmic and hardware point of view, focusing on realtime and embedded applications. Next, visionary applications in different domains will be presented.
 

Practical aspects

 

Date: Tuesday 22 March 2016
Location: imec CAF -1A, Kapeldreef 75, 3001 Heverlee
Parking is possible near the venue.
[download a routedescription to the location]
 

Programme

 
16h30: Welcome coffee
17h00: Welcome by Leuven.Inc and Marian Verhelst, Professor ESAT-MICAS group KU Leuven and Chairman of the program
17h15: Learning Machines – An introduction
Luc De Raedt, Professor Computer Science KU Leuven
17h40: Programming Paradigms for Machine Learning
Wannes Meert, Research Manager Machine Learning Group KU Leuven
18h05: Enabling smart devices through efficient hardware
Marian Verhelst, Professor ESAT-MICAS group KU Leuven
18h30: Coffee break
19h00: Wearable Health Solutions: Bringing true value to patients and providers through data science from wearable sensors
Chris Van Hoof, Program Director Wearable Healthcare imec
19h20: AI in the Watson ecosystem
Wouter Denayer, Business Unit Technical Leader BeLux IBM
19h40: Machine learning in drug development
Pieter Peeters, Senior Director Computational Biology Janssen Pharmaceutica
20h00: Q&A
20h15: Networking with drinks and snacks
The interventions will be held in English.
 

Participation fee

 
135 euro (excl. VAT): members of Leuven.Inc - 175 euro (excl. VAT): all others
Special fee available for Master and PhD students affiliated to and billable by KU Leuven or other universities.  Please do contact us by e-mail.
logo-kmo-portefeuille Participation in our activities at a discount via KMO-portefeuille Pijler OPLEIDING: Leuven.Inc Approval number DV.O106761
More info: www.kmo-portefeuille.be
KMO portefeuille request: for this seminar you indicate 4 training hours.
 

Registration

 
Registrations before Tuesday 15 March 2016 , preferably via the online registration form (use the Register button) or by email to admin@leuveninc.com (including all contact and invoice details).
 
After registration you will receive a confirmation and route description. The registration fee is payable after receipt of invoice. Cancellation after subscription is not possible. However, replacement by a colleague is allowed.

More info
 

 











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