This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines the benefits of momentum and RMSProp, and how it updates weights efficiently ...
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
Abstract: Dynamic multi-objective optimization problems (DMOPs) are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...
FOX 13's Jordan Bowen shares the ongoing problem in the Everglades when it comes to mitigating the invasive Burmese Python problem. 26,548 people played the daily Crossword recently. Can you solve it ...
Editor's note: This story originally published in 2024. Python hunter Bayo Hernandez prefers his snake ground up like hamburger meat with ketchup, mustard, and mayo. Another hunter fancies the ...
When Eventual founders Sammy Sidhu and Jay Chia were working as software engineers at Lyft’s autonomous vehicle program, they witnessed a brewing data infrastructure problem — one that would only ...
This project implements a 3D rocket landing trajectory optimization algorithm using Successive Convexification (SCvx). The algorithm computes optimal control trajectories for landing a rocket, similar ...
Palo Alto, California-based D-Wave Quantum Inc. claims to be the first company that sells computers that leverage quantum effects in their operation. The company recently demonstrated how its quantum ...