AI Economist is a project which aims to research the dynamics of economics by using Reinforcement learning (RL).
After quick introduction of AI Economist, I will show my some experiments which evaluate some scenarios such as Communism and etc.
What’s the AI Economist?, it’s well described on their blog post. So, I would like to focus on explaining it, from the perspective of training RL agents.
As we know, BERT has made remarkable results ever in NLP. Recently, some researches are reported which apply BERT to solve tasks for Protein.
In this article, I introduce how the protein is related with BERT. Furthermore, I will show my own experiment to solve the protein structure, which is one of the most difficult, but important tasks in biochemistry.
Protein is a sequence of amino acids. There are 20 standard amino acids such as Alanine, Arginine and etc. They are chained from N-term to C-term by peptide bond.
The actual structure of the protein is not like a straight…
Self pre-training becomes to be commonly used method in machine learning, especially in NLP (Natural Language Processing). The most famous ones are MLM (Masked Language Modeling) and NSP (Next Sentence Prediction), which are introduced with BERT.
GNN (Graph Neural Network) is another type of DNN (Deep Neural Network), which is used for various domains. …
Recently, I have challenged a competition in Kaggle. Though it was my 1st challenge, I could get fairly good result. I would like to share my approaches and what I’ve learned from it.
Statoil/C-CORE Iceberg Classifier Challenge is the competition I chose. In this competition, competitors classifies ship and iceberg by using the radar images which are taken from satellite. As additional information, inc_angle is given. More details are available at the page of the competition.
Here is the summary of my approaches and more.
Successful Approaches Taken
There is a new movement around mobile applications and deep learning.
Further more, recent high-end mobile devices have GPU tip inside it. Actually, they work faster than my Mac Book Pro for computation of machine learning.
Deep learning on the edge is coming to everywhere.
In this article, I would like to introduce a real world usage of them and report how fast it…