We are pleased to announce the Edinburgh event in Amazon's Academic Engagement Program in Machine Learning. This will be a three day event to bring together scientists working at Amazon and academic leaders in the field. Our goal is to foster stronger links between Amazon's scientists and the academic communities from which many of us came.
The event will run over three days with distinct themes. Day one will be a day of talks and posters from academics, with opportunity for faculty, students and post-docs to present their work and discuss important topics in machine learning research. Day two will be a day of talks and discussions from scientists at Amazon, where we'll give an overview of how machine learning drives the customer experience across a range of different areas and the unique challenges and opportunities we face operating at Amazon's scale. The final day will be hosted in collaboration with AWS: here, we'll focus on hands-on use of Amazon services to accelerate machine learning research, particularly in the areas of Deep Learning (on-demand GPU machines) and processing large datasets with Spark. You should leave with practical experience using these tools on an example problem and a sense of how on-demand cloud computing can simplify and expand your research.
We look forward to seeing you there!
|Day 1 Amazon Talks and Engagement (Monday, Informatics Forum)|
|10:15||Deep Siamese Networks for Approximate Duplicate Detection (Ben Allison, Amazon Development Centre Scotland) Abstract|
|11:30||Bayesian Optimization with Tree Structured Dependencies (Cedric Archambeau, Amazon Development Centre Berlin) Abstract|
|13:30||Real Time Bidding and Item Selection For Online Advertising (Sean Murphy, Amazon Development Centre Scotland) Abstract|
|14:15||Machine Translation Challenges at Amazon (Felix Hieber, Amazon Development Centre Berlin) Abstract|
|15:30||Forecasting with Deep Autoregressive Recurrent Networks (Jan Gasthaus, Amazon Development Centre Berlin) Abstract|
|16:15||Q & A For Amazon Speakers|
|Day 2: Cloud Computing for Machine Learning (Tuesday, Amazon Dev Centre)|
|10:30||AWS across Research & Education - Why use cloud?|
|11:30||AWS Educate and Academy Programs|
|13:00||First Practical, using Basic AWS Services|
|14:30||Practical 2: Deep Learning on GPU instances|
|Day 3 Academic Talks and Posters (Wednesday, Amazon Dev Centre)|
|10:00||Welcome to Amazon Development Centre Scotland (Graeme Smith, Director, ADCS)|
|10:15||Deep Learning for Multilingual Speech Technology (Steve Renals, University of Edinburgh) Abstract|
|11:30||What's this Movie About? Automatic Content Analysis and Summarization (Mirella Lapata, University of Edinburgh) Abstract|
|13:30||Neural Machine Translation at Edinburgh (Alexandra Birch, University of Edinburgh) Abstract|
|14:15||Statistical Analysis of Computer Program Text: Machine Learning and Natural Language Processing Meets Software Engineering (Charles Sutton, University of Edinburgh) Abstract|
|15:30||What Can We Learn from Big Social Data? (Walid Magdy, University of Edinburgh) Abstract|
|16:15||Discussion: Opportunities for Collaboration|
|16:45-18:00||Poster Session + Drinks/Networking|
This workshop is sponsored by Amazon Development Centre, Scotland and the EPSRC Centre for Doctoral Training in Data Science.
If you wish to attend then please register at the eventbrite site. Registration is free.