Pure Mathematics With Machine Learning

Blog share DeepMind has published a paper that applies machine learning to pure mathematics to help mathematicians discover new theories in the field of pure mathematics.The paper focuses on the following two areas. The most fundamental three-dimensional structure in Knot topology. Understanding the three-dimensional structural features of knot allows us to better bridge the gap between quantum field theory, non-Euclidean geometry, quantum mechanics, algebra, and geometry, and to study the relationships between the various branches of mathematics. ...

December 6, 2021 · 5 min · alexchen

AlphaFold2 Solve Protein Folding Problem

Reference article

December 3, 2020 · 1 min · alexchen

Hard Works With Hobbies

Considering the existence of a large number of asymptomatic people in this epidemic, so this November holiday myself decided to DeepMind 2020 machine learning of the remaining six courses to finish, temporarily do not consider going on a trip. Course address: deep learning lecture series 2020 There is also a course that I have been following HarvardX’s Tiny Machine Learning (TinyML) program harvardx-tiny-machine-learning?utm_campaign=Professional%20Certificates%20%20&utm_medium=email&_hsmi=96130954&hsenc=p2ANqtz– 7LiwHUWYNB_CyU36B4PMjUk1cf7LS8UNQHZKmoUGBtZ0LctZw691q9Ixa5gc5vwEeOVBkGjCGF1vAOA8hr_Jb_akwxw&utm_content=95985108&utm_source=hs email), that is, the course is a little expensive $ 537, and then see for yourself whether there is a discount behind, because their future development direction tends to TinyML, so I will always pay attention to the latest developments in this field, if there are friends who want to buy this course together, you can contact me by email [email protected]. ...

September 29, 2020 · 1 min · alexchen

DeepMind UCL 深度学习在线课程3总结

June 9, 2020 · 0 min · alexchen

DeepMind UCL Deep Learning Online Course 2 Summary

History The original idea of developing neural networks came from the human study of the brain, which has a large number of biological neurons, as shown in the figure above. In the biological neuron model, electrical signals flow through the dendrite into the cell body, which is equivalent to a data processing center, and when there is enough stimulus response, it sends a weak electrical signal to the cable-like axon, which flows through the axon and then reaches the synaptic terminals. terminals), a neuron will have multiple dendrites and a single axon, and the signaling between neurons and neurons is accomplished through a conductive fluid in the synaptic gap. By modeling the biological neuron, an artificial neuron is obtained, and the four elements to build the corresponding model are as follows. ...

June 9, 2020 · 6 min · alexchen