Social media’s next evolution: user-controlled algorithms

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let ...
IEEE

Attitude Trajectory Planning for Spacecraft With Time-Varying Mass Using Sequential Conic Optimization

Abstract: This article presents an attitude trajectory planning algorithm for spacecraft with time-varying mass and nonconvex state constraints. As a stepping stone, the problem of constrained ...
KUOW

How 'algorithm' got its name from a 9th-century Persian mathematician

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.
IEEE

Sequential Matrix Diagonalization Algorithms for Polynomial EVD of Parahermitian Matrices

Abstract: For parahermitian polynomial matrices, which can be used, for example, to characterize space-time covariance in broadband array processing, the conventional eigenvalue decomposition (EVD) ...
GitHub

Sequential Multi-agent Dynamic Algorithm Configuration

Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...
GitHub

CAMINO: Collection of Algorithms for Mixed-Integer Nonlinear Optimization

To use the solver 'cia', the packages relies on pycombina. If you want to use this solver, install pycombina using: Install gcc Set up and activate a fresh Python virtual environment (Python >= 3.7 ...
Fabbaloo

PrusaSlicer 2.9.1 Introduces Smart Sequential Printing and Multi-Material Interlocking

Prusa Research just released PrusaSlicer 2.9.1, and there are two very interesting new features. The first feature is a new capability they call “Smart Sequential Printing Arrangement”, and Prusa ...
Analytics Insight

Machine Learning Algorithms for Robotic Path Planning

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Microsoft

Toward developing faster algorithms for minimizing submodular functions

This research paper was presented at the 64 th IEEE Symposium on Foundations of Computer Science (FOCS) 2023 (opens in new tab), a premier forum for the latest research in theoretical computer science ...
InfoQ

Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...