IEEE

FlexSpin: A CMOS Ising Machine With 256 Flexible Spin Processing Elements With 8-b Coefficients for Solving Combinatorial Optimization Problems

Abstract: Combinatorial optimization problems (COPs) are essential in various applications, including data clustering, supply chain management, and communication networks. Many real-world COPs are non ...
Microsoft

Analog optical computer for AI inference and combinatorial optimization

Artificial intelligence (AI) and combinatorial optimization drive applications across science and industry, but their increasing energy demands challenge the sustainability of digital computing. Most ...
GitHub

Porcupy: Crested Porcupine Optimizer

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...
GitHub

Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation

You can obtain the Human3.6M dataset from the Human3.6M website, and then set it up using the instructions provided in VideoPose3D. For newer GPUs (e.g., RTX 4090, which does not support CUDA 10.2), ...
IEEE

RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention

Abstract: Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO ...