Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Programmers learning Rust struggle to understand own ership types, Rust’s core mechanism for ensuring memory safety without garbage collection. This paper describes our process of systematically ...

Abstract: In this article, the problem of constructing the single-track gray code (STGC) encoders is considered. STGCs are very useful in absolute position encoding for angular sensors which are used ...

Abstract: This paper addresses the challenge of optimizing distribution networks under the increasing integration of distributed energy resources and the inherent nonconvexity of AC power flow ...

This repository hosts the source code for the tools presented in our paper, accepted at CRYPTO 2024, titled: Revisiting Differential-Linear Attacks via a Boomerang Perspective with Application to AES, ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

The problems in the library can mostly be categorized into seed problems, advanced problems, and target problems. Seed problems are simple to state and thus make for good starting points of ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...

We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...