October 30, 2019

Fumbling with Functional Programming

I love functional programming. It’s just much more beautiful than imperative programming. The down sides usually comes from wanting things done and access to public libraries. I will argue here why FP is worth the effort and reflect around some of the issues in the communities.

For many programmers functional programming can be seen as nothing more than a curiosity. After all, you can seemingly do the same things with imperative languages like Java or C++. Functional programming is a paradigm first and foremost; not restricted to particular languages. Instead of just making “code that works” you should try to emulate the pure mathematical structure lurking behind every problem. This is not something that comes for free. You have to really understand the problem, but then you can write particularly elegant solutions that you can trust.

June 24, 2019

Finalized Master thesis on GAN

Generative Adversarial Network (GAN) extensions and applications in image processing and generation

When human brains process input from the senses they are able to effortlessly imagine new instances and scenarios from only a small amount of input experience. Generative Adversarial Networks (GANs) manages to some extent to achieve this imagination ability for datasets. We explore this technique and its applicability in image processing and generation. This has applications in areas like medicine, physics, and artificial intelligence.

May 23, 2019

See my project thesis

Project thesis

Currently I’m writing my master thesis on Generative Adversarial Networks. This is a exciting technology that has been pushing the boundaries of AI and of what is conceived possible.

I started to write my projet thesis on several techniques and theortical insights involving neural networks. It can be seen here.

I will update this with my master thesis later.

April 5, 2019

Who am I now

My interest for mathematical research stems from my curiosity of understanding the systems and structures that make up the world as well as the intellectual satisfaction of understanding the high abstractions of mathematics. However I do believe that the most prosperous discoveries and innovations of mathematics are those that connect deep insights and applicability. This is why I want to have a focus on applications of mathematics; or more specifically I want to further investigate machine learning, artificial intelligence and deep learning and the opportunities it unveils.