Andrija, Ron, and the author used AI to optimize the polynomial commitment scheme in Bolt, a proof system, by converting an initial Julia implementation to Rust with equivalence tests, achieving faste…
Monk, a New York software maker, has added outbound phone calls and inbound callbacks to Julia, its AI accounts receivable agent, extending the product beyond email into a channel where mistakes carry…
A new implementation of the Fuzzy-Pattern Tsetlin Machine achieves 37 million MNIST predictions per second at 98% accuracy with 4.7 GB/s throughput on a desktop CPU, and demonstrates the first Tsetlin…
Pasteur Labs released Tesseract Core, a universal component framework for differentiable scientific computing that packages scientific software into self-contained, portable components capable of runn…
Researchers propose a three-phase pipeline to improve small language models for low-resource programming languages like Julia and Ballerina, achieving up to +14.2 points on pass@1 metrics while reduci…
The tensor4all team, led by Hiroshi Shinaoka of Saitama University, has released tenferro-rs, a Rust-native dense tensor stack for scientific computing that supports linear algebra, autodiff, einsum, …
A new empirical study comparing Python, C, C++, Rust, Go, and Julia for AI algorithms found that C and C++ are the fastest, with Rust trailing by 9%, while Python runs 315x slower. Memory usage varied…
Researchers released Pluck, a probabilistic programming language that uses lazy knowledge compilation for efficient exact inference. It supports higher-order functions, recursion, and can compute exac…
This article describes a free, open-source AI engineering curriculum on GitHub maintained by Rohit Ghumare and contributors. The curriculum consists of 435 lessons across 20 phases, teaching algorithm…