A language takes work off your hands, gives it to a compiler, runtime, or toolchain, and charges you somewhere else.

Abstract: This paper is related to the inverse-dynamic modeling of mobile multibody systems articulated with joints and wheels. An easily-implementable algorithm, which is based on Newton-Euler (NE) ...

Artificial intelligence is rewriting the world and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...

Abstract: The development of parallel computing architectures has created a growing need for scheduling real-time gang tasks, in which a specified number of threads per task must be executed ...

Recently, a technique called equality saturation adapted e-graphs for program optimization. Equality saturation can ...

A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

This repository contains JavaScript based examples of many popular algorithms and data structures. Each algorithm and data structure has its own separate README with related explanations and links for ...

This is the code in my book Grokking Algorithms. Check out Python Tutor, a great website that guides you through Python code line by line. This repository contains every image in Grokking Algorithms ...

Define state-value and (true) state value of an MDP Define Q-value and (true) Q value of an MDP The idea of discounting stems from the common idea that a reward now is better than the same reward ...

This article presents a step-by-step guide to applying Generalized Linear Mixed Model Trees (GLMM-trees)—a flexible, recursive partitioning method that integrates mixed-effects modeling with ...

Unlike a traditional introduction to algorithms and data structures, this course puts an emphasis on parallel thinking, i.e., thinking about how algorithms can do multiple things at once instead of ...