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Optimising Semiconductor Chip Placement with Machine Learning

Semiconductor chip placement is a critical step in chip design, but it is also a laborious task that can take up to weeks to complete. FPGA (field-programmable gate array) and ASIC (application-specific integrated circuit) chips, which are widely used in consumer electronics and enterprise systems, can consist of hundreds to millions of transistors depending on

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Trader turns AI engineer, thanks to the AIAP opportunity

Whilst working as a trader in the equities and currency markets, Ngui Seng Wee was exposed to the use of artificial intelligence (AI) to make investment decisions. As he did more of that, he found his interest gravitating towards AI, algorithms and software engineering. But from a career perspective, the field of AI seemed beyond

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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

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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

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