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An invaluable learning experience with real-world opportunities
The machine learning (ML) bug bit Pang Hui En when she joined Grab for a six-month stint as a data science intern. “I was using ML for activity recognition and GPS (global positioning system) correction and I was intrigued by the possibility of other applications,” she said. But with a degree in Environmental Studies and
Achieving Super-Resolution
One application of this research breakthrough is to overcome physical camera lens limitations in mobile phones Can you take high-resolution, high-quality images on your mobile phone without being limited by the physical lens? Are you able to remaster classic films and video games for today’s 4K world? One answer to these questions lies in the
Generating Data for AI
Deep generative models help alleviate the difficulties of gaining access to costly or sensitive data Artificial intelligence (AI) relies on data. AI algorithms are trained on large amounts of data in order to identify patterns, analyse them and develop predictive capabilities for automated output or responses. But what if data collection is expensive and difficult,
Developing Human-like 3D Perception in Robots
The technology will enable machines to navigate safely in an environment with humans and other objects Much work has been done in the area of robotics, from control and path planning to collision avoidance and mechanical design. But one thing remains elusive – giving robots the ability to perceive the 3D world the way humans
