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Rushen Patel | #2
描述
Looking at the commercial application of a physics degree and the career that Rushen is successfully building on the back of it.
- Contents of this video -
00:00 - Titles
01:00 - As an engineer what's the most interesting problem you've ever worked on?
02:46 - What interested you about physics and engineering to begin with when you were young and what motivated you to then go and study it at Cambridge?
04:20 - What do you think the greatest thing you learned was whilst you were at Cambridge?
06:42 - So what was the transition like going from academic study and research into industry? What did you have to learn for that?
08:33 - Was it quite difficult to learn to explain some obviously quite high level concepts to people from a non-technical background?
10:21 - How do you go about solving problems in industry? Do you approach problems in a certain way?
14:50 - Could you explain what reinforcement learning is, how it works and how you applied it to this project (traffic flow)?
21:50 - Can you explain how these sorts of models work (model predictive control framework to guide policy decisions on social distancing) and how beneficial it would be to use systems like this to guide decision making?
26:20 - So what's been your favourite startup to work on and why?
29:12 - So if you could choose to work on anything else in the future what would it be?
32:05 - Which idea, in the history of science, do you believe, was the most revolutionary?
34:10 - Do you think that (quantum computing) could have a really significant impact on AI and machine learning?
36:40 - If you could give one piece of advice to someone around my age, 17, 18, looking to go into physics or engineering what would it be?
- Contents of this video -
00:00 - Titles
01:00 - As an engineer what's the most interesting problem you've ever worked on?
02:46 - What interested you about physics and engineering to begin with when you were young and what motivated you to then go and study it at Cambridge?
04:20 - What do you think the greatest thing you learned was whilst you were at Cambridge?
06:42 - So what was the transition like going from academic study and research into industry? What did you have to learn for that?
08:33 - Was it quite difficult to learn to explain some obviously quite high level concepts to people from a non-technical background?
10:21 - How do you go about solving problems in industry? Do you approach problems in a certain way?
14:50 - Could you explain what reinforcement learning is, how it works and how you applied it to this project (traffic flow)?
21:50 - Can you explain how these sorts of models work (model predictive control framework to guide policy decisions on social distancing) and how beneficial it would be to use systems like this to guide decision making?
26:20 - So what's been your favourite startup to work on and why?
29:12 - So if you could choose to work on anything else in the future what would it be?
32:05 - Which idea, in the history of science, do you believe, was the most revolutionary?
34:10 - Do you think that (quantum computing) could have a really significant impact on AI and machine learning?
36:40 - If you could give one piece of advice to someone around my age, 17, 18, looking to go into physics or engineering what would it be?
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