Machine Learning

A subset of artificial intelligence (AI), Machine Learning provides systems the ability to learn and improve from experience without being explicitly programmed automatically. This section focuses on new trends, predictions, computer models, and algorithms used in various applications, such as email filtering and computer vision.

Speech Recognition

History of Automatic Speech Recognition (ASR)

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Automatic speech recognition (ASR) or voice recognition is a process that uses a computer program to convert a speech signal into a sequence of...
Speech Recognition

Top automatic speech recognition (ASR) methodologies

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For human beings, speech is the most natural mode of communication. Speech recognition is the process of using a computer program to convert speech...
Quantum Machine Learning

What is Quantum Machine Learning (QML)?

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One of the big bottlenecks in the current machine learning research is classical computational power limits. The amount of data generated every day is...
machine-learning

Deep learning vs. traditional computer vision – A comparison

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Deep Learning (DL) is used in digital image processing to solve difficult problems (e.g., image colorization, classification, segmentation, and detection). Deep learning methods like...
computer vision

Five key components of a machine vision system

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Machine vision comprises using computer vision for all industrial and non-industrial applications. While computer vision is primarily concerned with image processing on a hardware...
5g

Leveraging Machine Learning (ML) and 5G in industrial manufacturing

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Combining two distinct technologies - 5G and machine learning (ML), opens the doors to many exciting industrial applications, especially in today’s communication landscape. This unprecedented...
machine learning

9 potential AI applications of machine learning (ML)

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Artificial Intelligence (AI) is the capability of a machine or computer to emulate human tasks through learning and automation. AI is a rapidly growing...
Machine vision

Top 4 industrial applications of machine vision

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Machine vision is useful for all industrial and non-industrial applications. A combination of hardware and software provides operational guidance to devices in executing their...
image processing

Deep learning vs. traditional image processing – A comparison

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Deep learning (DL) has revolutionized traditional image processing, pushing the boundaries of Artificial Intelligence (AI) to unlock potential opportunities across industry verticals. DL helps achieve...
graph

How graph technology enhances context and connections

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We humans are very good at collecting and processing information. Just imagine how we think when asked, “What do you think of when you...