Dot Physics on MSN

Mastering least squares fit and graphing in Python

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts!
GitHub

Code Structure Analyzer (CSA)

This tool has been developed using both LM Studio and Ollama as LLM providers. The idea behind using a local LLM, like Google's Gemma-3 1B, is data privacy and low cost. In addition, with a good LLM a ...
Dark Reading

Copilot's No-Code AI Agents Liable to Leak Company Data

Artificial intelligence (AI) agents are a breeze to create using Microsoft Copilot Studio, and almost just as easy to manipulate into divulging sensitive corporate data. Despite broad security ...
Forbes

Using Agents To Intelligently Traverse Graph-Based Data Structures

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...
Hosted on MSN

Python Physics Lesson 3; Graphs and Stuff

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
CSOonline

Claude AI vulnerability exposes enterprise data through code interpreter exploit

Security researcher demonstrates how attackers can hijack Anthropic’s file upload API to exfiltrate sensitive information, even with network restrictions enabled. A newly disclosed vulnerability in ...
Frontiers

Semantic and fiducial-aided graph simultaneous localization and mapping (SF-GraphSLAM) for robotic in-space assembly and servicing of large truss structures

Field and Space Experimental Robotics (FASER) Laboratory, Mechanical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States This article proposes a ...
IEEE

Personalized Structure Preservation Based Graph Neural Network via Connection Interaction and Refinement for Autism Spectrum Disorder Diagnosis

Abstract: Graph Neural Networks (GNNs) have garnered widespread recognition in the identification of Autism Spectrum Disorder (ASD) owing to their remarkable adaptability to irregular patterns of ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
IEEE

Learning Graph Structures with Autoregressive Graph Signal Models

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...
Forbes

The Democratization Of Graph Data For Business Users

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...