BASH, Level 3
79 Ayer Rajah Crescent
Organised by Nurture.AI. Partnered with SGInnovate
This reading group is suited for AI researchers, academics and advanced practitioners. We meet every Tuesday, 7:00pm - 9:00pm at BASH, Level 3, Block 79 Ayer Rajah Crescent (part of JTC [email protected]) to discuss top recent AI-related arXiv preprint papers.
In June, AI Readly will take place on 5 and 19 June. Block out your calendars first! We will decide on the papers to discuss closer to the date, in the session’s thread here https://groups.google.com/forum/#!forum/ai-readly-singapore.
Dates: 5 and 19 June 2018
Time: 7:00pm - 9:00pm
Venue: BASH, Level 3, 79 Ayer Rajah Crescent, Singapore 139955
IMPORTANT - Criteria for joining each cycle of 10 weeks:
- Please be prepared to present at least 1 paper in each 10-week cycle, either as a group or individually (you need to state the paper you are presenting on in the RSVP thread for each week's session).
- It would be even better if you can also do a code run-through of an implementation of the paper (optional).
You are also highly encouraged to read the papers we are discussing each week beforehand, so that we can have a more productive discussion delving deeper into each paper. Please print your own copies of the paper before coming.
You may also like the following:
Quantum Tech: From Science to Business Applications
How is quantum technology going to change our daily life? Can quantum computers predict our future? What are the possible business applications and how do we prepare for them starting today? We’ll take a deep look into technology – moving from theory to practical implementationTopics:
What Can We Expect from Machine Cognition
Recent decades have witnessed the remarkable progress in artificial intelligence (AI). However, there are still opposing views on the prospect of AI as being yet another cyclic hype or a new development with sustaining power. As the evidence becomes less controversial in the area of recognition, we focus the discussion on the next level of mental capacity necessary to intelligent behaviors, namely, the capability of cognition that involves knowledge acquisition, inference and reasoning, and reinforcement learning. We present our views by way of the current status of Microsoft Academic Graph (MAG), a project in Microsoft Research that teaches machine to obtain knowledge by reading scholarly publications, and contemplate what machine can do in the near future based on the trajectory being observed thus far. As MAG is open to the public, how it can be used through PySpark and what types of applications it has enabled will also be described.Topics:
Appier Masterclass: Creativity in AI
At the second Appier AI Masterclass, Dr Min Sun, Chief AI Scientist at Appier, will discuss the current capabilities and future potential of Artificial Intelligence to generate creative outputs. Dr Sun will share the research trends in this direction and what his extensive research has uncovered. Finally, he will show how he applies this knowledge at Appier, and how to effectively use AI and deep learning in the creative process.Topics:
Future Economy: AI and the Future of Work
The future of work is increasingly becoming a reality with Artificial Intelligence (AI) set to deliver step changes in productivity last witnessed with mass production in the 1920s – only this time across multiple industries and sectors.Topics:
Jump-start Alumni Gathering
Calling all our Jump-start alumni as we come together to explore and talk about the current state-of-the-art technologies in Deep Learning. Building upon the foundational knowledge in module one, Dr Martin and Sam will teach and touch on advanced deep learning in Computer Vision and advanced Natural Language Processing, Text and Sequences.Topics: