Artificial Intelligence (AI)

Computer-Integrated Manufacturing (CIM) – Introduction, Application, Components, Advantages, Disadvantages

Computer-Integrated Manufacturing (CIM) – Introduction, Application, Components, Advantages, Disadvantages

Introduction Computer-integrated manufacturing (CIM) refers to the use of computer-controlled machinery and automation systems in manufacturing products. CIM combines various technologies like computer-aided design (CAD) and computer-aided manufacturing (CAM) to provide an error-free manufacturing process that reduces manual labor and automates repetitive tasks. The CIM approach increases the speed of the manufacturing process and uses […]

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Quantum computing | Definition, Introduction, Detail Report

Quantum computing | Definition, Introduction, Detail Report

Quantum computing is a rapidly emerging field of technology that promises to revolutionize the way we process and store information. It is based on the principles of quantum mechanics and has the potential to solve problems that classical computers cannot handle efficiently. In this article, we will take a closer look at quantum computing, its

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Robot hardware | Components of Robot Hardware

Robot hardware | Components of Robot Hardware

Robot hardware for AI refers to physical components that make up a robot and enable it to perform tasks using AI algorithms. Key hardware components include: CPU/GPU: for processing and executing AI algorithms Sensors: for collecting data from the environment Actuators: for physical movement and interaction with the environment Communication interfaces: for sending and receiving

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Quantum Computing: An Overview

Quantum Computing: An Overview

Quantum computing is a revolutionary technology that has the potential to change the way we process and store information. Unlike classical computers, which use bits to represent data, quantum computers use quantum bits or qubits. This allows them to perform certain operations much faster than classical computers, making them useful for solving problems that are

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GPT-3 Language Modeling

GPT-3 Language Modeling

Artificial Intelligence and Machine Learning: Generative Pre-training Transformer (GPT-3) Generative Pre-training Transformer (GPT-3) is a state-of-the-art language model developed by OpenAI. It is trained on a massive dataset of text and uses deep learning techniques to generate human-like text. GPT-3 can be fine-tuned for a wide range of natural languages processing tasks, such as language

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Artificial Intelligence Application in Healthcare

Artificial Intelligence Application in Healthcare

It is generally believed that Al tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff. Al is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis,

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Robot Hardware || Sensors & Effectors

Robot Hardware || Sensors & Effectors

We have taken the agent architecture sensors, effectors, and processors as given, and we have concentrated on the agent program. The success of real robots depends at least as much on the design of sensors and effectors that are appropriate for the task. Sensors Sensors are the perceptual interface between robots and the environment. Passive

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PROGRESS OF ARTIFICIAL INTELLIGENCE | Growth, Current Trends, Simulation

PROGRESS OF ARTIFICIAL INTELLIGENCE | Growth, Current Trends, Simulation

Growth of AI Developments of the research community For centuries, artificial intelligence has been an intellectual challenge; only recently a glint of practical feasibility has resulted in a wide variety of applications (Tanimoto 1987). During the early and mid-1960s, ambitious projects in automatic English/Russian translation not only failed to produce the promised systems but dampened

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Machine Learning (Introduction, Main Category & Summary)

Machine Learning (Introduction, Main Category & Summary)

1. Introduction Machine learning is a sub-field of artificial intelligence (Al) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. According to Arthur Samuel, Machine Learning algorithms enable computers to learn from data, and even improve themselves, without being explicitly programmed. Machine learning (ML) is a category of

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