Unlock AI Power Locally: Learn How to Create an Agent with LangGraph and Ollama

Learn how to build cost-effective AI agents locally with LangGraph and Ollama. Step-by-step guide using lightweight, free ...
Unite.AI

How Causal AI is Finally Building AI Models That Can Reason, Not Just React

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
IEEE

Linear Aggregate Model for Realizable Dispatch of Homogeneous Energy Storage

Abstract: To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that ...
GitHub

A model-driven approach to building AI agents in just a few lines of code.

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local ...
Hosted on MSN

Building Multivariate Linear Regression in C++ — No Libraries, Just Code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
IEEE

Building Regression Models for Estimating and Predicting Technical Object Characteristics Using Machine Learning Methods

Abstract: The paper presents a technology for constructing regression models designed to assess and predict the performance characteristics of technical objects. As an example, regressions for burner ...