Dubbed RoboGrammar, the system is based on what's called graph grammar, a technique borrowed from computer science where a series of related objects — or 'graph' — are algorithmically transformed into new 'graphs', thus generating new abstractions that ad... (more…)

In the field of machine learning, training data preparation is one of the most important and time-consuming tasks. In fact, many data scientists claim that a large portion of data science is pre-processing and some studies have shown that the quality of y... (more…)

Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machi... (more…)

EyeEm set out to answer the question: Can deep learning be used to learn personalized aesthetics embodied in a set of chosen photos? (more…)

If you'd like to get updates on how my progress goes, feel free to subscribe here or follow me on twitter! In 2020 and beyond, I plan to dive more deeply into independent research projects in Machine Learning and Theoretical Neuroscience. It has been on m... (more…)