Decomposing tasks like humans: Scaling reinforcement learning by separation of concerns
A key tenet of AI research states that intelligent machines should be able to make decisions and learn from environmental feedback similar to humans. To this end, much effort has been made in the area…
Stack of Microsoft researchers earn distinctions from premier computing society
By John Roach, Writer, Microsoft Research Eight computer scientists at Microsoft research labs around the world have been honored as Fellows of the Association of Computing Machinery, the world’s largest computing society. The organization also…
ALICE
ALICE Automated Learning and Intelligence for Causation and Economics Alice is a project to direct Artificial Intelligence towards economic decision making. We are building tools that combine state-of-the-art machine learning with econometrics – the measurement…
International Workshop on Spoken Language Translation (IWSLT) 2016 – Session 3
Talks and presentations from the International Workshop on Spoken Language Translation (IWSLT) 2016. IWSLT is an annual workshop on annual scientific workshop on Spoken Language Translation and related technologies (e.g., Automated Speech Recognition, Machine Translation,…
Towards Information-Seeking Agents
Asia Faculty Summit 2016 – Robotics
This session examines the future direction of robotics research. As a background movement, AI is sparking great interest and exploration. In order to realize AI in human society, it is necessary to embody such AI…
Asia Faculty Summit 2016 – 3D Real World Capturing and Reconstruction
Capturing and reconstruction 3D real world (scene, objects, and dynamic human characters) plays important role in VR/AR applications. However, real time high quality 3D capturing and reconstruction is still a very challenging task. In this…
Asia Faculty Summit 2016 – Urban Big Data and Urban Computing
Urban computing connects ubiquitous sensing technologies, advanced data management & machine learning models, and novel visualization methods to create win-win-win solutions that improve urban environment, human life quality, and city operation systems.
Asia Faculty Summit 2016 – Machine Learning: Generative vs. Discriminative
Generative learning and discriminative learning are two major approaches in machine learning. The fast development of deep learning demonstrates the power of discriminative learning. In recent years, some have started to integrate generative learning into…
Asia Faculty Summit 2016 – AI and Psychology
Gaining an in-depth understanding of users is critical for building artificial intelligence systems. With the rapid development of positioning, sensing and social networking technologies, large quantities of human behavioral data are now readily available. They…