Machine Learning

MATLAB-Based Deconvolution Method – Maximum Cyclic Steady-State Deconvolution CYCBD

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MATLAB-Based Deconvolution Method - Maximum Cyclic Steady-State Deconvolution CYCBD

The MATLAB-based deconvolution method – Maximum Cyclic Steady-State Deconvolution (CYCBD) has certain advantages in processing fault signals from rotating machinery, effectively extracting continuous periodic pulses. It enhances the extracted periodic impacts while providing good noise reduction performance. The program has been debugged and can be run directly. Note: To download the source program, please click … Read more

Face Recognition System Based on PCA (Implementation in Matlab)

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Face Recognition System Based on PCA (Implementation in Matlab)

💥💥💞💞Welcome to this blog❤️❤️💥💥 🏆Author’s Advantage: 🌞🌞🌞The blog content aims to be logically clear and coherent for the convenience of readers. ⛳️Motto: A journey of a hundred miles begins with a single step. 💥1 Overview A face recognition system based on Principal Component Analysis (PCA) is a common face recognition technology that identifies faces in … Read more

The Arrival of AI Agents: Don’t Get Left Behind

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The Arrival of AI Agents: Don't Get Left Behind

01. Definition and Logic of AI Agents (1) General Definition of AI Agents An AI Agent (Artificial Intelligence Agent) is a software system capable of perceiving its environment, reasoning, making decisions, and taking autonomous actions to achieve specific goals. It combines the reasoning capabilities of large language models (LLMs) with the practical functionalities of various … Read more

Cutting-Edge Literature: J. Am. Chem. Soc. – MLP+TMMC Empowers Flexible MOFs for Water Collection Design! Chemically Accurate Prediction of Adsorption Performance Reveals Design Principles

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Cutting-Edge Literature: J. Am. Chem. Soc. - MLP+TMMC Empowers Flexible MOFs for Water Collection Design! Chemically Accurate Prediction of Adsorption Performance Reveals Design Principles

AI-Empowered Materials In recent years, the application of Metal-Organic Frameworks (MOFs) in the field of adsorption has transitioned from proof-of-concept research to practical technological applications. Some MOFs, such as CALF-20 and MOF-303, have achieved kilogram-scale usage, respectively for CO2 capture from flue gas and atmospheric water extraction from desert air. Among them, MOF-303, as a … Read more

Strong Evidence for the Existence of Intelligent Robots

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Strong Evidence for the Existence of Intelligent Robots

Strong Evidence for the Real Existence of Intelligent RobotsReport Date: October 27, 2023Author: [Your Name/Assistant]Subject: Arguing that intelligent robots are not a science fiction concept, but a technological reality that already exists—1. Introduction: From Fantasy to RealityFor a long time, the concept of “intelligent robots” has been widely present in science fiction novels and movies, … Read more

From BM25 to Multi-Vector: Six Evolutionary Paths of Embedding

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From BM25 to Multi-Vector: Six Evolutionary Paths of Embedding

This public account mainly focuses on cutting-edge AI technologies such as NLP, CV, LLM, RAG, and Agent, sharing practical industry cases and courses for free, helping you fully embrace AIGC. 1. Sparse Embedding (Keyword-based Sparse Vectors) Dimension Description Typical Implementations TF-IDF, BM25, SPLADE Vector Shape 50,000+ dimensions, >95% of positions are 0 Similarity Calculation Cosine … Read more

Multi-Layer Perceptron in Machine Learning

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Multi-Layer Perceptron in Machine Learning

In the field of machine learning, Multi-Layer Perceptron (MLP) is a fundamental Artificial Neural Network (ANN) model, which is a prototype of “deep feedforward neural networks” and is also the core foundation for understanding deep learning (such as CNNs and Transformers). It simulates the connection patterns of human neurons to fit and predict complex nonlinear … Read more

What is TPU? A Comparison of TPU, CPU, GPU, and NPU

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What is TPU? A Comparison of TPU, CPU, GPU, and NPU

From cloud data centers to edge devices, TPU is reshaping the hardware boundaries of artificial intelligence. As an acceleration chip designed specifically for tensor operations, it serves as the core engine for enterprise-level AI inference and is seen by Market.us as a potential carrier for future intelligent terminals. This difference in technological positioning is directly … Read more

Research on Predicting Remaining Useful Life of Aircraft Engines Using Improved Online Sequential Extreme Learning Machine

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Research on Predicting Remaining Useful Life of Aircraft Engines Using Improved Online Sequential Extreme Learning Machine

Click the blue text above to follow us 📋📋📋 The table of contents is as follows: 🎁🎁🎁 Contents 💥1 Overview 📚2 Results 🎉3 References 🌈4 Matlab Code, Data, Literature 1 Overview Efficient data investigation and rapid, accurate prediction of the remaining useful life (RUL) of aircraft engines can be considered a very important task in … Read more

Comprehensive Analysis of the AIAgent Technology Stack: Building Your Intelligent Assistant from Scratch

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Comprehensive Analysis of the AIAgent Technology Stack: Building Your Intelligent Assistant from Scratch

Click [Your AI Application Collection] to follow Comprehensive Analysis of the AIAgent Technology Stack AI agents, as a cutting-edge development direction in the field of artificial intelligence, are gradually reshaping the operational models of various industries. They are software entities capable of perceiving the environment, making autonomous decisions, and executing tasks to achieve goals. Their … Read more