Resources >‏ Events >‏ Events details

Events details

QCRI - IBM Data Science Connect 2016

Date / Time:
16/11/2016 Download ICS File
Category:
Events
QCRI IBM New.JPG

QCRI–IBM Data Science Connect 2016

 Doha, Qatar

12.30pm –5:30pm, Wednesday, November 16

HBKU Research Complex, Ground Level Multi-Purpose Room
Google Map link to location

https://goo.gl/maps/uFQWyeC8ZJw

 AGENDA

Time

Title

Speaker

12:30pm - 12:45pm

Welcoming

Dr. Ahmed Elmagarmid

& Dr. Jaideep Srivastava

12:45Pm - 01:45pm

Introduction to Cognitive IoT using the IBM Watson IoT Platform, Apache CouchDB, ApacheSpark and the Theano DeepLearning Framework to detect anomal behaviors in chaotic systems

 

Romeo Kienzler

Chief Data Scientist @IBM Watson IoT, Associate Professor for Data Mining @FHBern, ApacheFlink Contributor

https://www.linkedin.com/in/romeo-kienzler-089b4557

01:45pm - 02:15pm

ML4all: a large-scale and cross-platform machine learning system

 

Due to the increasing importance of machine learning (ML) in a large number of domains, there is an urgent need to free users from algorithm and system concerns. In this talk, we will present ML4all, a system that frees users from the burden of algorithm selection and low-level implementation details. In particular, our system uses a new abstraction that is capable of solving most ML tasks. It also provides a cost-based optimizer on top of the proposed abstraction for choosing the best gradient descent algorithm in a given setting. Furthermore, ML algorithms can leverage platform-independence and cross-platform execution to boost their performance. In this talk, we will also show how ML4all leverages Rheem, a novel cross-platform framework, to achieve this. Especially, we will show how mixing single-node systems with big data processing platforms can speed up ML algorithms, such as SGD. Combining all these features together, ML4all can achieve orders of magnitude better performance than baseline systems.

 

http://da.qcri.org/rheem/ml4all.html

Dr. Zoi Kaoudi, Dr. Jorge Quiane Ruiz

02:15pm - 02:45pm

Arabesque

a distributed graph mining system that enables quick and easy development of graph mining algorithms, while providing a scalable and efficient execution engine running on top of Hadoop.

Marco Serafini / Eslam Hussein

02:45pm - 03:15pm

AIDR(Artificial Intelligence for Digital Response): Use case of Tweet Sense disambiguate

Ji Lucas

03:15pm - 03:30pm

break

03:30pm - 04:30pm

Hands-On Workshop on Cognitive IoT using the IBM Watson IoT Platform and ApacheSpark

Romeo Kienzler

Chief Data Scientist @IBM Watson IoT, Associate Professor for Data Mining @FHBern, ApacheFlink Contributor

https://www.linkedin.com/in/romeo-kienzler-089b4557

04:30pm - 05:00pm

- FAST(Forecast and Analytics of Social Media and Traffic)

a first-of-a-kind scalable platform that produces real-time traffic predictions, including accurate forecasts of the future number of pageviews of an article. We will go through how its architecture & technology

Abdelkader Lattab (FAST)

05:00pm - 05:30pm

Closing


Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

BBC deep learning story pic.PNG

What is 'deep learning'?

08/01/2017

Every day we create billions of bits of data. Ever faster and more powerful computers can use that big data to learn, predict events and carry out key tasks. Surveillance, voice recognition and ...

Read More

EN Facebook story.jpg

Así influye Facebook en tus opiniones

08/12/2016

Hay varios presuntos culpables de la victoria de Donald Trump: la falta de visión de la campaña de Clinton, la globalización, la condescendencia de las elites. Facebook y su modo de seleccionar ...

Read More

Engadget pic.JPG

Clickbait, fake news and the power of feeling

23/11/2016

Fake news has dominated post-election headlines, and important questions have been asked: Would Hillary have won had almost a million people not read that Pope Francis had endorsed Trump? (Probably ...

Read More

Events

2017

ArabWic for web.jpg

Women in Data Science

Download ICS File 03/02/2017 ,

Normal 0 false false false EN-US X-NONE AR-SA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; ...

Read More

Past Events

2016

QCRI IBM New.JPG

QCRI - IBM Data Science Connect 2016

Download ICS File 16/11/2016 ,

QCRI–IBM Data Science Connect 2016  Doha, Qatar 12.30pm –5:30pm, Wednesday, November 16 HBKU Research Complex, Ground Level Multi-Purpose Room Google Map link to location https://goo.gl/maps/...

Read More

Sheikha Moza Arc 2016.jpg

Qatar Foundation Annual Research Conference 2016 (ARC'16)

Download ICS File 22/03/2016  - 23/03/2016 ,

The Qatar Foundation Annual Research Conference 2016 (ARC’16) will be held on 22nd and 23rd March,2016 at the Qatar National Convention Center. The conference aims to advance Qatar’s ambitious ...

Read More

News

Jalees10.jpg

QCRI’s Jalees Reader app launched in more languages

06/12/2016

French and German interfaces added for free app which allows users to upload books and read them offline.

Read More

IBM Watson robot (ex IBM Watson).JPG

IBM Watson scientist visits Qatar to present platform that 'thinks like a human'

16/11/2016

IBM Watson’s chief data scientist Romeo Kienzler has visited the Qatar Computing Research Institute to conduct a workshop on Watson, a question-answering platform that can “think like a human”. Mr ...

Read More

Stephan.JPG

QCRI’s BrailleEasy app launched on iOS store

31/08/2016

BrailleEasy, a custom one-handed Braille keyboard developed by the Qatar Computing Research Institute, is now available on the iOS App Store. The Braille keyboard was developed by Barbara Šepič, ...

Read More