Your Daily AI Research tl;dr — 2022–10–24 🧠

The “Ultimate-Awesome-Transformer-Attention” GitHub repo, the NeuroAI Revolution and Visual Scene Recognition in Movies!

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals, 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.

1️⃣ MovieCLIP: Visual Scene Recognition in Movies

“Instead of manual annotations which can be expensive, we use CLIP to weakly label 1.12 million shots from 32K movie clips based on our proposed taxonomy” (179 scene labels derived from movie scripts and auxiliary web-based video datasets) to create the new dataset: MovieCLIP.

Link to the paper: https://arxiv.org/pdf/2210.11065.pdf

2️⃣ Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

“Neuroscience has long been an important driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI.”