Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
IEEE

An Exact Greedy Algorithm for Energy Storage Self-Scheduling Problem Based on Power Decomposition

Abstract: The energy storage self-scheduling (ESSS) problem is typically formulated as a mixed-integer linear programming (MILP) or quadratically constrained programming (QCP) model, reflecting the ...
IEEE

Study on the Optimization of Charging Pile Location Selection——Cost-Aware Algorithm Integrating Greedy Algorithm and Genetic Algorithm

Abstract: To address issues such as high construction costs, complex operation and maintenance, and unbalanced resource allocation in the charging pile location selection process, a cost-aware ...
IEEE

A Simulation-based Greedy Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks

Abstract: Power peaks occur when multiple electric trains draw high power simultaneously, e.g., during acceleration. This stresses the power grid and may lead to blackouts, posing a major concern for ...
Fast Company

The X algorithm really is trying to radicalize you—researchers just proved it

In the months following Elon Musk’s $44 billion acquisition of Twitter in 2022, my experience with the platform (and perhaps yours too) got quickly, dramatically worse. My algorithmic timeline, better ...
IEEE

A Greedy Algorithm for Priority-Based Vehicle Routing Problem

Abstract: This study addresses a variant of the Vehicle Routing Problem (VRP) with customer priorities. In the variant, we assume the hard priority constraint where customers should be served in a ...
IEEE

An Improved Greedy Algorithm with OAPR Coordination for Harvesting Robot Pose Planning

Abstract: This paper proposes an improved greedy algorithm with OAPR (Orientation-Arm-Position-Robot) coordination for harvesting robot pose planning, addressing inefficiencies from independent ...
IEEE

A new active equalization method for series battery packs based on dynamic clustering and greedy algorithm

Abstract: To address the inconsistency issue in large-scale series-connected lithium battery packs, this paper proposes an active equalization topology along with a novel equalization control strategy ...
GitHub

Solving problems with greedy algorithms

In a conversation with his friends in Bostan, Alex realized that dried fruit is going to be expensive. So he took his basket and went to the grocery store. His son came to help him to buy the basket ...
IEEE

A Greedy Initialization-Based Genetic Algorithm for Sampling Optimization

Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...
IEEE

AVTP-Based CAN-TSN Scheduling Through Constructive Heuristic and Hybrid Iterative Greedy Algorithm for High-Load Automotive Network

Abstract: In modern automotive zonal electrical/electronic architectures, Time-Sensitive Networking (TSN) serves as the communication backbone, while Controller Area Network (CAN) operates as regional ...