Seminars & Colloquiums
SEMINAR
Zoom with ARC
Speaker(s) | Prof. Marcelo Ang and other engineers working on projects in ARC | |
Date & Time | 17 April, 2020 @ 2:00 pm to 4:00 pm | |
Venue | Zoom: https://nus-sg.zoom.us/meeting/register/upwrdeCsqTsqJqI5JdWmicrbTcdYGOgjxg |
COLLOQUIUM
RobotX Interactive Forum
Date & Time | 4 December, 2019 | |
Venue | Suntec City |
In collaboration with the Future Systems and Technology Directorate (FSTD), US Office of Naval Research (ONR) and Robonation, NUS Advanced Robotics Centre (ARC) is proud to be part of the successful 2019 RobotX Interactive Forum from 4 to 6 December 2019 at Suntec Singapore. Over 150 delegates, including students, academia, government and industry delegates attended […]
SEMINAR
Deep Learning for Perception in Autonomous Vehicles
Speaker(s) | Holger Caesar | |
Date & Time | 8 May, 2019 | |
Venue | NUS Faculty of Engineering, Lecture Theater 1 (LT1) |
Autonomous vehicles are a breakthrough technology expected to make our lives safer and more comfortable. Data-driven deep learning approaches are essential to perceive the real world. Current datasets lack in complexity and size to train such methods. Therefore we present the nuScenes dataset – the largest existing multimodal dataset for autonomous driving. The goal of […]
SEMINAR
Advanced Robotics Centre Seminar: Learning How The Brain Learns
Speaker(s) | Fred Almeida | |
Date & Time | 19 December, 2018 | |
Venue | NUS Faculty of Engineering, Lecture Theater 7A (LT7A) |
Artificial intelligence learns as we humans do – by trial and error. Our experiences teach us valuable lessons which can be applied to new situations. Over time the surrounding world starts to make sense to us and we can be entrusted with more demanding tasks like driving a car. For an AI agent, this learning […]
SEMINAR
Deep learning as CAD in Medical AI & Imaging
Speaker(s) | Dr. Zongyuan Ge | |
Date & Time | 31 August, 2018 | |
Venue | NUS Faculty of Engineering, Advanced Robotics Centre, Blk E6, Level 7, ARC Engagement Space |
Recent advances in artificial intelligence and machine learning have demonstrated that deep learning technologies have superiority in solving various medical imaging analysis tasks involving CT, MRI and X-ray. In this talk, Zongyuan will go through his research in dermatology and radiology analytics during his career at IBM and NVIDIA research – Australia. More specifically, he […]