They say that in the future, vehicles will be able to talk. Not in the way that those in the Pixar movie “Cars” do, but more in the sense of being able to relay and receive information from surrounding vehicles, buildings, traffic lights, and other infrastructure.

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From driverless cars to life-saving medical devices and everything in between, the technologies of the future not only promise to change the world, but also to create high-paying jobs and drive economic growth in the countries where they are developed and commercialised. With so much at stake, it’s no wonder that many countries are racing to build the innovation and entrepreneurial ecosystems that make this possible.

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Our brain can easily estimate the 3D position and the orientation of the objects we see. This task, however, is non-trivial for computers and robots. Computer scientists have been working on the problem of recovering the 3D position and orientation of objects in data captured from image sensors for years. This problem, formulated as the ‘pose estimation’ problem, is important because recovering the position and orientation of objects in a scene is often a necessary step to understanding the scene.

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Remember when your piano teacher used to insist you practise your scales every single day? Turns out she wasn’t just being a tyrannical tormentor, but a firm believer in the old adage “practice makes perfect.”

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In 1958, a curious sight began appearing on the sidewalks of California. People were taking apart roller skates, attaching them to the underside of wooden planks, sometimes boxes, and whizzing down the streets.

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Mention “Bayesian Optimisation” to Professor Bryan Low Kian Hsiang and he begins to talk about baking cookies. That’s because to the uninitiated, concepts such as “distributed batch Gaussian process optimisation” and “decentralised high-dimensional Bayesian optimisation” can sound either downright intimidating or like pure gobbledygook.

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With science, technology, engineering and mathematics (STEM) skills in greater demand than ever before, many people see STEM education as a ticket to a successful and rewarding career. University graduates with STEM degrees tend to land jobs quickly, and also command some of the highest starting salaries in Singapore, according to data from Singapore's Ministry of Education.

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For those who’ve taken the plunge into the world of wearable devices — 61 million of us by the year’s end, as estimates predict — the leap can be liberating.

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At some point in our careers, most of us have to deal with an IT system that is clunky, unreliable, or just plain difficult to use. It might have an unintuitive interface that takes forever to learn. Or it might require an unnecessarily mind-numbing sequence of steps for every minor task that it facilitates, only to crash every time that task is just a few clicks from completion.

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Have you ever struggled to learn a new language? Maybe you should spend less time trying to speak it and start singing instead!

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One of the most famous folklore in marketing and data mining goes like this: many years ago, Walmart noticed that on Fridays, men would head to the store, pick up some diapers for their babies and grab a six-pack at the same time. To take advantage of this, Walmart placed the diaper and beer aisles adjacent to each other, resulting in skyrocketing sales for both items.

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Have you ever gone to an e-commerce website with the intention of buying one specific thing, but then ended up with something totally different?

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It was a sweltering summer morning in July 2016, and the olive grove close to the town of Andria in the Italian countryside baked silently in the 40-degree heat. But what began as a quiet morning would soon descend into chaos.

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One of biggest challenges in marketing is the task of identifying influencers in today’s large and complex social networks, such as Facebook or LinkedIn.

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Steeped in every culture since the beginning of time are legendary figures of mythical proportions. The Greeks and Romans had Hercules, the Celts had King Arthur, and the Chinese had Sun Wukong. The tech world we live in today is no exception, and one figure that looms large is Satoshi Nakamoto.

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2 March 2018 - If you ask renowned roboticist and Stanford University Professor Oussama Khatib whether robots would replace human jobs in the future, he will tell you it is not robots that we should fear.

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27 November 2017 — It is the 28th of July 2016. A crowd is gathered around a marked off area near the entrance of Level 2, COM1. Among them are NUS President, Professor Tan Chorh Chuan, and NUS Provost, Professor Tan Eng Chye.

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03 April 2017 - Simple solutions to complex problems. This was the mantra that Associate Professor Tan Chuan Hoo kept returning to in the discussion of his paper, Sequentiality of Product Review Information Provision: An Information Foraging Perspective, which was published in MIS Quarterly in 2016.

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