It is much better for a computer scientist to have sufficient industry experiences before joining the academia, as I explained before.
Just be mindful of some necessary adjustments, some of which I am learning as an ongoing process and shared below.
Count how many people want to join it, such students/employees/immigrants for a school/company/nation.
In the standard of Chinese classics, the art of war is crisp, even with repeating the core ideas.
During my first reading as a kid, I focused mainly on the languages.
After my second reading, the core ideas become very clear, even with my now rusty Chinese.
I can probably summarize the book in just a few sentences. But it is still better to read the original Chinese; no translation can do justice to the beautiful writing, and the repetition helps hammer the messages home.
I examined several English versions, all contain very obvious mistakes.
The best version I have seen so far is 孫子兵法論正, 朔雪寒.
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Is the what3words address of my HKU office.
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VR, AR, IoT, Kinect, 3D printing, etc. are all great ideas.
But not all of them will reach the expected consumer penetration due to various reasons.
Nevertheless, they still have positive impacts in various niches, such as VR for gaming/simulation, AR for hands-free communication, IoT for industry/agriculture automation, Kinect for ambient interaction, and 3D printing for rapid prototyping.
Quote from Bezos:
One area where I think we are especially distinctive is failure. I believe we are the best place in the world to fail (we have plenty of practice!), and failure and invention are inseparable twins. To invent you have to experiment, and if you know in advance that it’s going to work, it’s not an experiment. Most large organizations embrace the idea of invention, but are not willing to suffer the string of failed experiments necessary to get there. Outsized returns often come from betting against conventional wisdom, and conventional wisdom is usually right. Given a ten percent chance of a 100 times payoff, you should take that bet every time. But you’re still going to be wrong nine times out of ten. We all know that if you swing for the fences, you’re going to strike out a lot, but you’re also going to hit some home runs. The difference between baseball and business, however, is that baseball has a truncated outcome distribution. When you swing, no matter how well you connect with the ball, the most runs you can get is four. In business, every once in a while, when you step up to the plate, you can score 1,000 runs. This long-tailed distribution of returns is why it’s important to be bold. Big winners pay for so many experiments.
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The default period is from June 2016 to June 2017 unless stated otherwise.
Publish top papers
Publish at least 4 papers in top graphics/HCI venues: ToG (including SIGGRAPH and SIGGRAPH Asia), CHI, UIST.
Build top products
Ship at least one product no later than October 2016 and have at least 1 million users by June 2017.
Develop top talents
Help at least 4 students publish in top graphics/HCI venues individually.
Teach a class on machine learning and receive at least 80 percent rating.
Graduate my first HKU PhD student (supposed to have happened already but he is too happy and doing too well with internships).
Have fun, be awesome
Practice sketching to a professional level.
Finish the book of change and the art of war, to renew my (now rusty) Chinese and crack the only Chinese classics that my grandfather did not during his life time.
Finish the baroque cycle, which I lost patience in the middle of the first volume (quicksilver).
Reduce my steady heart rate to the previous level – less than 40 beats per minute.
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Two incoming students
Booked a flat together
Without seeing each other before
He has a feminine name
She has a masculine name
Measured by expressions
Collapsed from possibilities
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