Your Daily AI Research tl;dr - 2022-07-04 ??

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!

1?? ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time?

Zero-shot Concept Recognition and Acquisition (ZeroC): a neuro-symbolic architecture that can recognize and acquire novel concepts in a zero-shot way, representing them as graphs of constituent concept models (nodes) and their relations (edges), applied to classification and detection tasks.

Link to the paper: https://arxiv.org/pdf/2206.15049.pdf

Code: https://snap.stanford.edu/zeroc/

2?? Solving Quantitative Reasoning Problems with Language Models

Minerva, a large language model pretrained on general natural language data and further trained on technical content achieves state-of-the-art performance on technical benchmarks (solving mathematics, science, and engineering problems at the college level, etc.) without the use of external tools.

Link to the paper: https://arxiv.org/pdf/2206.14858.pdf

?? A conversation with Demis Hassabis

A fantastic new episode of the Lex Fridman's podcast with Demis Hassabis, discussing the future of AI, Demis' past, daily habits, ambitions, alphafold, muzero and more.

Listen to the podcast on YouTube: https://youtu.be/Gfr50f6ZBvo

And we are already at the end of this iteration!

I hope you liked the format. Please subscribe and share it with your AI techy friends if you've enjoyed it or if it was helpful. Feel free to follow my weekly newsletter where I go in-depth into one of the papers shared, and our newsletter at Towards AI, sharing the most exciting news, papers, articles, and memes weekly.

Thank you for reading,

Louis