The search for life outside planet Earth has been the topic of research of many scientists over the years. Human space exploration and the imminent possibility of actually colonizing other planets (being Mars our best candidate) raise concerns by a portion of these scientists, since we could, unintentionally, contaminate space with our Earth microbes. Multiple […]
[latexpage] When training a binary classifier, cross entropy (CE) loss is usually used as squared error loss cannot distinguish bad predictions from extremely bad predictions. The CE loss is defined as follows: $$L_{CE}(y,t) = tlogy + (1-t)log(1-y)$$ where $y$ is the probability of the sample falling in the positive class $(t=1)$. $y = \sigma(z)$, where […]
One of the concepts that can improve effectiveness of a machine learning (ML) method, is the consideration of sparsity in its design. Here I give a short summary on benefits of sparsity considerations in ML. Definition: A set of numbers (e.g. vector, matrix, etc.), is considered sparse when a high percentage of the values are […]
Lab-grown meat, which is known more popularly as clean meat, synthetic meat, or in vitro meat, is prepared in an experimental lab using the animal tissue culture approaches. Lab-grown meat has recently gained a lot of attention because it can significantly reduce the greenhouse emissions and save energy. A study published by the Scientists of […]
Imagine your computer learning much more efficiently from related well-known knowledge fields and applying these concepts to lesser-known knowledge fields: from identifying dogs to identifying cats [1], to playing Age of Empires to playing Starcraft, or from reading articles written in English to reading articles written in Spanish. Transfer learning attempts to solve these kinds […]
Minseung Kim graduates!
Nicholas Joodi graduates with a MS!
Scientists use jargon and abbreviations all the time, and communication of science to a broad audience, which can also include scientists from diverse backgrounds and fields, can be jeopardized if such terms are not explained and defined in a simpler, accessible way. Even beginner scientists can struggle when reading scientific papers or navigating a new […]
In my last post, we explored a machine learning method known as transfer learning used to counter problems in which two models have similar purposes but data is more readily available for one than the other. By exploiting similarities in data, transfer learning allows us to leverage one model to increase accuracy in the other, […]
In the era of big data, how to select which experiments to conduct to fill the gap in the data at hand is becoming a challenge. The selected experiments should be targeted such that they bring in the most amount of information related to the problem of interest. By conducting targeted experiments, we will reduce the redundancy […]