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Your Daily AI Research tl;dr — 2022–07–01 🧠
Welcome to your official daily AI research tl;dr (often with code and news) for AI enthusiasts where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating. I will also take this opportunity to share daily exciting news in the field.
Let’s get started with this iteration!
1️⃣ A Path Towards Autonomous Machine Intelligence
A very interesting paper distilling much of Yann LeCun’s thinking over the last 5–10 years about promising directions in AI. More details are in the news section below with an abbreviated explanation from his Twitter page.
Link to the paper: https://openreview.net/forum?id=BZ5a1r-kVsf
2️⃣ Pen and Paper Exercises in Machine Learning
A collection of (mostly) pen-and-paper exercises in machine learning covering linear algebra, optimization, directed graphical models, undirected graphical models, and much more.
Link to the paper: https://arxiv.org/pdf/2206.13446.pdf
