This past week I had the wonderful opportunity to go to the U.S. Capitol to present with my team our app LunaSim at the House of Code (Congressional App Challenge). LunaSim is a web-based system dy...

“Are we there yet?” We all probably must have asked this question multiple times during long road trips when we were young. Why was this always a burning question? Chances are because we didn’t kn...

Last weekend I had the wonderful opportunity of presenting with my Spanish teacher Sr. DeValoes at the Maryland Foreign Language Association (MFLA) Spring Conference. MFLA is a professional organiz...

AI Prompt: “a woman in an Indian sari with a birthday cake in the night sky with a full moon” They say that a handmade card is always much better than the ones from Hallmark, but I often found tha...

If you are looking for amazing, conceptual videos on Machine Learning, check out StatQuest! Unlike other channels, StatQuest assumes that you have no math experience! Every calculation is intuitive...

Transformers have proven to be kings of Natural Language Processing, but can they be kings in Computer Vision too? A set of engineers at Google set out to answer this question, and they came up wit...

No, not that kind of transformer (sorry Optimus)! The transformer is an neural network architecture proposed at Google for dethroning the LSTM. Rather than having a “sliding window” like LSTMs and...

Recurrent Neural Networks, meet your successor! The problem with Recurrent Neural Networks is that they cannot handle predicting effectively over long time series. To solve this problem, researcher...

When I think of Recurrent Neural Networks (RNNs), only one concept comes to mind: time series. What is a time series? Stock price values over the year, music notes in a symphony, and, yes, even sen...

Every ML model has something in common – numbers! Every weight, bias, neuron activation – from the inputs given to the final prediction – all them are represented as floating point numbers, often b...