evolutionas

It does matter if you run your ML models in production. After we upgraded to 3.12 the average response time ~4-6ms decreased to stable sub 2ms. Latency decrease for p95 and p99 were even more significant

If this is the state-of-art then I have some bad news. I recently finished writing my thesis and copy-pasted several paragraphs that did not included any mathematical formulas. Most of them were classified as written by a machine (8 out of 12). It might be due that I am not a native speaker. It seems that the model struggled the most where there are mathematical details discussed but on the topics where I wrote more freely as conclusions and some analysis, it classified as written by human.

I had same problem few years ago but after installing StayFocusd[1] plugin in chrome I solved this issue. I set allowed time per day to 40 minutes to visit such websites as: reddit, fb, 9gag, youtube. If I need to watch video related to work/studies I use viewpure[2] that way I only watch only that particular video and don't lose my binge time. I also communicate with my friends a lot using fb so I just use messenger website instead of having fb opened directly.

[1] https://chrome.google.com/webstore/detail/stayfocusd/laankej... [2] http://viewpure.com/

Cool project! Last year I built self driving robot for my bachelor's thesis. Instead of building end-to-end deep learning pipeline I used two neural nets: one trained with genetic algorithm to drive a robot based on ultrasonic sensors, another for object recognition and detection. Based on detected items (like road signs) robot took different actions.

Video: https://www.youtube.com/watch?v=cUXh7iP3hoQ Code: https://github.com/kazepilot