Get an overview of RLM Theory and its core concepts. Learn why long-context understanding, REPL environments, and sub-agents matter for modern AI applications.

Abstract: While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product.

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...

This repository houses all material related to my master's course on Deep Learning. The course was done in the first semester of 2025 at Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio). A ...

The Democratic pollster David Shor walks through what voter data reveals about the 2024 election — and how the American electorate is shifting. This is an edited transcript of an episode of “The Ezra ...

Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...