I successfully defended my PhD Thesis " Discrete Differential Geometry-Based Modeling of Robots at low Reynolds Number" on 17 May 2023,...

https://www.stephenwolfram.com/ This person is a living genius who makes his contribution as a researcher and a scientist in an...

From the APS March 2022, what I have learned despite the knowledge and discussion on the physics of my interest (biomechanics and fluid),...

https://youtu.be/SuaP8izUPzQ Explainability of AI and decisions of right or wrong that need to be made by policy makers. It is such an...

Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud. "Neural Ordinary Differential Equations." Advances in Neural...

Great findings in science are made on the edge of different fields. I hope my blog post can be of a small help to anyone who are...

We often see the rankings of schools (or specific grad schools) from USnews or Forbes. Regular people (who are not working in the field...

It is really easy to get lost with neural networks. You mainly get lost in training process. You try to train the neural network with the...

Neural Ordinary Differential Equation - Chen et.al https://arxiv.org/abs/1806.07366 This paper proposes a smart application of Blackbox...

Hi. Welcome ! I will be posting paper reviews and sharing interesting news articles as well as my life update on this blog. Feel free to...