Organised by 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.
|Date:||Tuesday 22 March 2016|
|Location:||imec Auditorium, Kapeldreef 75, 3001 Heverlee
Parking is possible near the venue.
[download a routedescription to the location]
|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
|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:||Expediting drug discovery through machine learning
Pieter Peeters, Senior Director Computational Biology Janssen Pharmaceutica
|20h15:||Networking with drinks and snacks|
The interventions will be held in English.
|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.
|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.
Registrations before Tuesday 15 March 2016 , preferably via the online registration form (use the 'Register' button) or by email to firstname.lastname@example.org (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.