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Les Grandes Conférences du LIG - The LIG Keynote Speeches
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LIG
 -  01 mars 2018
 

Neural Networks: Birth, Death and Resurrection

Patrick GALLINARI

The recent rise of modern Artificial Intelligence has been supported by large scale operational deployments of machine learning algorithms. The dominant technology today in this field is Deep Learning, the modern name of an older technology – Artificial Neural Networks. Is there something special about these methods that make them different from alternative machine learning or statistical techniques? What are the future evolutions of this domain? Is it only a new episode of the Neural Network saga or is it the sign of a deeper and definitive evolution of AI? I will draw an historical perspective on the domain, introducing the main challenges, concepts and evolutions of the field. I will describe some of the recent advances and try to put in evidence some future challenges. This will be illustrated via several application domains in the field of semantic data analysis.

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Thèse
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LIG
 -  26 janvier 2018
 

Intelligence Socio-Affective pour un Robot: primitives langagières pour une interaction évolutive d’un robot de l’habitat intelligent

Yuko SASA

Comment les humains rentrent-t-ils en relation communicante ? Certains « bruits de bouche » porteraient l’essence de mélodies qui constitueraient des primitives : ce sont outils porteurs de socio-affects intentionnels capables de lier les personnes par une « glu socio-affective ».

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Journée thématique
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LIG
 -  19 janvier 2018
 

Introduction / Eclipse IoT projects status

Eric GAUSSIER / Benjamin CABÉ

Retrouvez l'intégralité des vidéos de l'Eclipse IoT Day 2018

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Les Grandes Conférences du LIG - The LIG Keynote Speeches
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LIG
 -  11 janvier 2018
 

Adaptive Resource Management for Next Generation Systems

Martin SCHULZ

As we move into the exascale era and beyond, high performance computing systems will become more and more resource constrained, and they will face this problem with a growing number of different resources. To solve this problem we need new and more adaptive resource management approaches that can deal with multi-constraint scenarios and that can adjust themselves to changing conditions in the system. In the first part of the talk, I will discuss these challenges using constraints on power and energy as an example and will show how this, in some cases, can have unexpected consequences on application performance.

To solve these challenges, however, we first need to better understand the exact behavior of our systems, their bottlenecks and the impact our workloads have on them. This requires a system wide monitoring and performance data management - from system level measurements to application feedback - combined with the matching analytics capabilities. In the second part of the talk I will discuss concepts to enable such monitoring, how they can be used to feed user facing tools, as well as can be used for new resource management schemes. This is part of a first step towards a more efficient utilization of the scarce resources and can ultimately lead to new design tradeoffs for future systems.

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Les Grandes Conférences du LIG - The LIG Keynote Speeches
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LIG
 -  07 décembre 2017
 

Privacy-preserving analytics in the cloud

Jon CROWCROFT

This talk is about experience implementing machine learning in a fully decentralized way on low cost home devices, which can potentially lead to large improvements in privacy. The two-sided market of Cloud Analytics emerged almost accidentally, initially from click-through associated with users’ response to search results, and then adopted by many other services, whether web mail or social media. The business model seen by the user is of a free service (storage and tools for photos, video, social media etc). The value to the provider is untrammeled access to the users' data over space and time, allowing upfront income from the ability to run recommenders and targeted adverts, to background market research about who is interested in what information, goods and services, when and where. The value to the user is increased personalisation. This all comes at a cost, both of privacy (and the risk of loss of reputation or even money) for the user, and at the price of running highly expensive data centers for the providers, and increased cost in bandwidth and energy consumption (mobile network costs & device battery life). The attack surface of our lives expands to cover just about everything.

This talk will examine several alternative directions that this will evolve in the future.

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