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do you know that by two thousand and fifty seventy
percent of the global population believe in c. d.'s
for such overpopulated c. d.'s to be sustainable it is critical
that city officials make informed decisions about the city planning
however cities are complex environments that are shaped by multiple factors
any location in the city may have all kinds of information associated with it
from the axial currencies to noise complaints and tax
activity and this information can be pretty detailed
for example taxi records can have several attributes such as they pick
up and drop off time fair deep and number of passengers
all this complex information is usually publicly available in
the form of numerous urban data set
to penalise these data sets and the correlation some on them
city planners there are two these were utterly takes systems
using the systems instead of looking at numbers they look at callers
on the mob as you can see on my slide
while they can compare multiple data sets using just the single visualisation
to generate these visualisation as usual analytic systems rely
on what we call spatial application realise that
partition the data over to different regions and then compute summarise information for each region
this data partitioning is achieved by performing point in polygon test
to determine the data points contained within each polygon or save region
based tests are computationally heavy and considering the hundreds of millions or
even billions of points that the data set might contain
these poses a big challenge for these what analytic systems making interactive response is hard to achieve
in fact no existing technique can answer spatial application queries in real time
our research battles this challenge by evaluating spatial navigation queries using
renderings which are operations highly optimised for graphics hardware
just to give you some intuition our approach drones the data points on agreed it current fuss and keeps
track of intersections between the points and the canvas but
maintaining compassion aggregates in the canvas greed cells
it then throws the polygonal regions on the same canvas and calculates the aggregate result
from the bachelor art gets off the grid cells that intersect with each polygon
this approach leverage is that massive parallelism provided by more than graphics hardware
and thereby evaluates spatial education queries on the fly in real time
that way we enable city planners to interactively navigate urban

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Conference program

Welcome address
Andreas Mortensen, Vice President for Research, EPFL
7 June 2018 · 9:49 a.m.
Introduction
Jim Larus, Dean of IC School, EPFL
7 June 2018 · 10 a.m.
The Young Software Engineer’s Guide to Using Formal Methods
K. Rustan M. Leino, Amazon
7 June 2018 · 10:16 a.m.
Safely Disrupting Computer Networks with Software
Katerina Argyraki, EPFL
7 June 2018 · 11:25 a.m.
Short IC Research Presentation 3: kickoff.ai
Lucas Maystre, Victor Kristof, EPFL (LCA)
7 June 2018 · 12:19 p.m.
Short IC Research Presentation 5: CleanM
Stella Giannakopoulo, EPFL (DIAS)
7 June 2018 · 12:25 p.m.
Short IC Research Presentation 7: Datagrowth and application trends
Matthias Olma, EPFL (DIAS)
7 June 2018 · 12:31 p.m.
Short IC Research Presentation 8: Point Cloud, a new source of knowledge
Mirjana Pavlovic, EPFL (DIAS)
7 June 2018 · 12:34 p.m.
Short IC Research Presentation 9: To Click or not to Click?
Mahsa Taziki, EPFL (LPD)
7 June 2018 · 12:37 p.m.
Short IC Research Presentation 10: RaaSS Reliability as a Software Service
Maaz Mohiuddlin, LCA2, IC-EPFL
7 June 2018 · 12:40 p.m.
20s pitch 2: Gamification of Rehabilitation
Arzu Guneysu Ozgur, EPFL (CHILI)
7 June 2018 · 2:21 p.m.
20s pitch 4: Neural Network Guided Expression Transformation
Romain Edelmann, EPFL (LARA)
7 June 2018 · 2:21 p.m.
20s pitch 5: Unified, High Performance Data Cleaning
Stella Giannakopoulo, EPFL (DIAS)
7 June 2018 · 2:21 p.m.
20s pitch 6: Interactive Exploration of Urban Data with GPUs
Eleni Tzirita Zacharatou, EPFL (DIAS)
7 June 2018 · 2:22 p.m.
20s pitch 7: Interactive Data Exploration
Matthias Olma, EPFL (DIAS)
7 June 2018 · 2:22 p.m.
20s pitch 8: Efficient Point Cloud Processing
Mirjana Pavlovic, EPFL (DIAS)
7 June 2018 · 2:23 p.m.
20s pitch 9: To Click or not to Click?
Mahsa Taziki, EPFL (LPD)
7 June 2018 · 2:24 p.m.
20s pitch 10: RaaSS Reliability as a Software Service
Maaz Mohiuddlin, LCA2, IC-EPFL
7 June 2018 · 2:24 p.m.
20s pitch 11: Adversarial Machine Learning in Byzantium
El Mahdi El Mhamdi, EPFL (LPD)
7 June 2018 · 2:24 p.m.

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