Milestone Mojo release reveals a systems programming language with precise control over memory, strong types, GPU programming support, and intuitive Python-like syntax.

NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in mixed integer linear programming (MILP), linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP).

Official implementation of the paper: "CONSTRAINT MATTERS: MULTI-MODAL REPRESENTATION FOR REDUCING MIXED-INTEGER LINEAR PROGRAMMING", accepted by ICLR 2026. Model reduction is a powerful way to ...

Abstract: In this demo, we introduce a new Python library for solving mixed-integer linear programming (MILP) problems based on the hybrid quantum-classical multi-cuts Benders’ decomposition (HQC-Bend ...

Abstract: The Flexible Job-shop Scheduling Problem (FJSP) is a modification of the classical Job-shop Scheduling Problem (JSP). In FJSP, jobs consist of multiple operations, each of which can be ...

Converting data types is a common task in programming. In Python, we often need to convert integers to strings – for example, to display a number in a certain format or concatenate it with other ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...