200 Tools, Blurry to Photorealistic, and Logical Neural Networks

This week we have our regular panel of Lan, George and Kyle! George brings us a blog post "What I Learned From Looking at 200 Machine Learning Tools." Which, the author, talks about a list complied of all of the AI/ML tools he could find. Lan brings us a news article "Making Blurry Faces Photorealistic Only Goes So Far." This article discusses how AI researchers discover inherent resolution limit to "upsampling" of pixelated faces. Last but not least, Kyle brings us the paper for this week! He brings the paper, "Logical Neural Networks." This paper proposes a novel framework seamlessly providing key properties of both neural nets (learning) and symbolic logic (knowledge and reasoning).

All works are linked in the show notes.