RAMPCO manufacturing optimization software leverage Industrial sensors and Artificial Intelligence (AI)-based technologies to digitize plants, track all inputs and outputs, parts and material, allowing full tracking of the process from inputs to end-product.

Data-driven control is an emerging field of recent current interest in industrial control that seeks to develop controllers without knowing dynamical models of the system. We intend to program software models using innovative advanced analytics and deep learning techniques to generate high accuracy and fast simulation through. These models are subsequently implemented in a pioneering integrated production optimization tool, supporting field operations. Our Regression Algorithms will find…

AI and machine learning have been hot buzzwords in 2020.

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Artificial Intelligence and machine learning have been hot topics in 2020 as AI and ML technologies increasingly find their way into everything from advanced quantum computing systems and leading-edge medical diagnostic systems to consumer electronics and “smart” personal assistants.

Revenue generated by AI software, hardware and services is expected to reach $156.5 billion worldwide this year, according to market researcher IDC, up 12.3 percent from 2019.

But it can be easy to lose sight of the forest for the trees when it comes to trends in the development and use of AI and ML technologies. As we approach the end…

role of machine learning in industry

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Machine learning is a subset of artificial intelligence (AI) where computers independently learn to do something they were not programmed to do. They do this by learning from experience — leveraging algorithms and discovering patterns and insights from data. This means machines don’t need to be programmed to perform tasks on a repetitive basis.

As stated in the What is machine learning? article most common types of Machine Learning Algorithms are:

  • Supervised Learning — Supervised learning occurs when an algorithm learns from example data and associated target responses that can consist of numeric values or string labels, such as classes…

What is the difference between AI and machine learning?

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Artificial intelligence and machine learning are part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.

Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are the two different terms in various cases.

Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are the two different terms in various cases.

On a broad level, we can differentiate both AI and ML as:


the term artificial intelligence (AI)

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In computer science, the term artificial intelligence (AI) refers to any human-like intelligence exhibited by a computer, robot, or another machine. In popular usage, artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind — learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, solving problems — and combining these and other capabilities to perform functions a human might perform, such as greeting a hotel guest or driving a car.

Rampco Machine Learning Software

We develop a data-driven Machine Learning model that can use actual production input parameters and their output parameters to estimate the output.

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