Machine-Learning

2021 Words to myself Risk-sharing think rationally Love random volatility Do unto others as you would have them do unto you 2021 A New Beginning I recently spent three months on my own reading the four-part series of uncertainty books by Nassim Nicholas Taleb. The overall summary of the feelings after reading is that, just right to make myself from deep inside out to find how to enhance their own anti-vulnerability through the judgment of randomness, correct my previous misunderstanding of the concept of investment, because many colleagues around me want financial freedom, then the question is how you want to approach this freedom, through the short-term constant speculation, speculation in digital currency If you look at the asymmetric risk, you will definitely end up with a 100% loss in it. ...

Reference article

Considering the efficiency at work and the fact that my skills in English are not very solid, I investigated the use of DeepL to complete the translation of the official website and the daily blog. The free version of DeepL has a lot of restrictions, when buying the paid version of DeepL Pro in China, DeepL official website for supporting China 🇨🇳 region, the solution is to use Virtual VISA service, you can go here for the specific process. ...

Architecture

From Rosetta@home to Folding@home Let’s start with the main principle. Rosetta@home is only predicting the molecular structure of synthetic drugs capable of Binding Covid-19 outer spike-in protein, which can be imagined as similar to the photographic technique in photography. Rosetta can statically predict the characteristics of a particular protein, but it cannot predict how that protein molecule will function under the evolution of time. Because there will be potential differences between molecules that generate electromagnetic forces, and all the constituent elements within the molecule will interact with each other to create motion over time, when we design a synthetic drug in Rosetta that can bind the SARS-COV-2 virus, we need to enter the testing phase to see if the drug can bind to the viral protein stably, because the predicted structure is static, we cannot know whether the protein structure can bind well to the viral protein under the interaction motion, here Folding@home comes in handy, it is similar to shooting a motion picture in photography, we can get the static protein structure chain from Rosetta@home, and then simulate in Folding@home whether that protein binds well to the viral protein over time to produce resistance to the virus. ...