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Python Physics Lesson 7; Maximum Projectile Range with Air Resistance
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...
Abstract: This paper investigates a task assignment and resource optimization problem in an integrated multi-unmanned aerial vehicle (multi-UAV) system, where multi-UAVs are rationally assigned to ...
AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...
Version 2.0 of the study will add bunny scent to the stuffed rabbits if motion and heat aren’t enough to fool the pythons in ...
CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.
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 ...
What if the next new mathematical discovery didn’t come from a human mind, but from an AI? Imagine a machine not just crunching numbers but proposing original solutions to problems that have baffled ...
Abstract: As a well-known NP-hard problem, the vertex cover problem has broad applications, which has aroused the concern of many researchers. In recent years, its related optimization problems, ...
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 ...
KARLSRUHE, Germany and COLLEGE PARK, Md.– Kipu Quantum and IonQ (NYSE: IONQ) announced what they said is a record achievement: the successful solution of “the most complex known protein folding ...
Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python
This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
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Adam Optimization from Scratch in Python
Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀🐍 ...
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