Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...
This paper investigates the Idle Mode Capability (IMC) in heterogeneous cellular networks through a dual approach that combines Monte Carlo-based MATLAB simulations with supervised machine learning ...
The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
capellambse allows you reading and writing Capella models from Python without Java or the Capella tool on any (reasonable) platform. We wanted to "talk" to Capella models from Python, but without any ...
Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
1 Digital Transition and AI, Haaga-Helia University of Applied Sciences, Helsinki, Finland 2 Neurolab, Laurea University of Applied Sciences, Espoo, Finland We investigated how near-future utopia and ...
This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
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