Deep Learning with Dynamic Computation Graphs

ABSTRACT Batch processing of dynamic graphs is a very common technique for a variety of applications, such as computer vision and natural language processing. However, due to the varieties of type and shapes between distinct data, batch processing with a static graph over such dataset is almost impossible with current frameworks and libraries. In this […]

Continue reading


Conversational Systems: A General Review

Fig 1: Conversational system is one of the top 10 strategic technology trends for 2017. (https://letstalkpayments.com/conversational-systems-will-enable-businesses-of-the-future-to-be-invisibly-present-through-time-and-space/) Background Research about Artificial Intelligence (AI) has achieved great progress in recent years. Robots are becoming more and more clever, and they even have a new name: “Super Intelligence”. How can us mere humans communicate with these new friends? […]

Continue reading


Global AI Hackathon in Toronto

On June 23-24, the first Global Artificial Intelligence Hackathon took place in Toronto at University of Toronto, alongside 14 other cities in the world. Close to 200 contestants, forming 20+ teams, set out to compete on three grand challenges: Microsoft’s future of work global challenge, fake news detection global challenge, and a local emotion detection […]

Continue reading


A Survey of Question Answering for Math and Science Problem

This paper provides a new perspective on thinking about artificial intelligence. Turing test has been proven to be insufficient in measuring artificial intelligence. So now, the standardized math and science tests have been accepted as a way to measure artificial intelligence. The aim of the authors is to give an overview of the ways to […]

Continue reading


L2-constrained Softmax Loss for Discriminative Face Verification

Introduction With the recent successes in CNNs, the performance of face recognition has also benefited. A baseline for face recognition includes a sequential network and a softmax criterion. In this paper, the authors analyze some disadvantages of the softmax loss, then propose a constraint condition based softmax loss, called L2 softmax loss. Problem with softmax […]

Continue reading


Deep Learning Paper Sparks Online Feud!

Feature image is created by Jannoon028 – Freepik.com Researchers Yoav Goldberg and Yann Lecun face off on Natural Language Processing Social media is humanity’s new intellectual battlefield. Sports fans, social justice warriors, and even the President of the United States tweet, take to discussion boards or make memes to mock, preach, thrust and parry against […]

Continue reading


Failures of Deep Learning

Abstract Today, Deep Learning is being applied in many fields such as computer vision, audio and natural language processing and generation etc. Although we are pushing the limits of its performance, people should be aware that Deep Learning has its limitations. In 2015, Anh Nguyen published a paper in CVPR [1] that identified a limit […]

Continue reading


Epic’s Tim Sweeney: Deep Learning A.I. Will Open New Frontiers in Game Design

“[Video game] AI is still in the dark ages,” Epic CEO Tim Sweeney told a crowd gathered for Games Beat’s 2017 industry summit. The video game industry has witness a tremendous amount of growth, thanks to the incredible increase in computation power in terms of visual representations. Using the parallel computation ability of GPUs, powerful […]

Continue reading


How to Teach Machines to Think Like Humans

Given the task of sorting rectangular blocks by colour, an 18-month-old child can perform well due to relational reasoning — an intellectual process that helps humans find inner relationships between separate items. While humans take such an ability for granted, researchers are patiently working to instill machines with the same capability. On June 5, Google’s […]

Continue reading


Does Fitness Data Make the Average Person Healthier?

Background Today, an increasing number of people are caring more and more about their health. As a result, fitness trackers are popping up everywhere. With these handy wearable gadgets, we can now track every aspect of our health and fitness. But are they actually making a difference to the average person’s well being? Panelist: Dr. […]

Continue reading