How does a neural network connect perceptions to concepts? In other words, how can you make something that accepts an array of pixels as an input and correctly outputs "dog" or "cat?" This video from Art of the Problem does a good job of explaining how neural networks are able to do this, and why it's important to have neural networks with many layers.
How neural networks work – A good explainer video
Machine learning app turns face sketches into realististic photos
https://youtu.be/HSunooUTwKs University researchers from Hong Kong and China created an application called DeepFaceDrawing that "allows users with little training in drawing to produce high-quality images from rough or even incomplete… READ THE REST
Web-based sketching app uses machine learning to detect penises
If a website called Do Not Draw a Penis senses that you are trying to sketch a penis it will erase it. Otherwise, it attempts to describe what you are… READ THE REST
This algorithm coins new words every time you click
Thomas Dimson used the GPT-2 language model to make a website that creates a new word every time you refresh the page. Some of them are really good — I… READ THE REST
Short Post, just one paragraph
Dessert cheesecake wafer bear claw fruitcake. Fruitcake chupa chups donut candy canes marzipan. Apple pie sweet roll tart chocolate cake macaroon marshmallow carrot cake gummi bears sweet. Pastry sugar plum… READ THE REST
Save 50% on a 1-year subscription to Dashlane's premium password manager
We all know vital information about ourselves and our private digital accounts can be compromised by cybercriminals. However, many would be frightened to know just how compromised they and their… READ THE REST
The Bite Helper removes the itch of a mosquito bite in seconds
While mosquitoes have certainly earned their title as the deadliest animal on earth, their impact on most of our lives is usually a lot less consequential. But even though they… READ THE REST
