Neural Computing

Neural computing is an application of artificial intelligence that mimics the structure and functions of the human brain. It comprises computing systems specifically designed to simulate the way the brain solves problems using a network of neurons. Neural computing is used in many different fields, from pattern recognition and natural language processing to robotics and financial forecasting. Its advantages lie in its ability to recognize patterns and process information quickly, without the need for programmed instructions, making it particularly useful in areas like computer vision and autonomous navigation. This type of computing is becoming increasingly important as it has the potential to revolutionize many industries, allowing for more efficient and accurate decision-making and greatly expanding the capabilities of computers.

← Journal of Applied Robotics and Artificial Intelligence

Related Articles

10 article(s) found

Perception Threshold Variations of Pain Area with Herpetic Ophthalmic Neuralgia

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Biocompatible Scaffolds for Human-Induced Pluripotent Stem Cell Transplantation and Modeling Post-Stroke Recovery in Three-Dimensional Neural Cell Culture

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A Bit Exagerrated Role of Complete Blood Count Parameters on the Prognosis of Idiopathic Sudden Sensorineural Hearing Loss

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Dual Effects of Neuroprotection and Neurotoxicity by General Anesthetics on Neural Stem Cells: Role of Autophagy

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Suboccipital Decompression for Occipital Neuralgia

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Big Data Research: Database and Computing

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Trigeminal Neuralgia: Indications of Gasserian Ganglion Gompression with Balloon Catheter in the Modern Era

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Artificial Neural Network Model for Rainfall Data Analysis During 2004-2017 in Tamil Nadu, India – Prevailing Pattern Evaluation on Climate Change

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Genetic Algorithm Coupled with Neural Networks to Guesstimate the Subsurface Features of the Earth

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New Classification for Bifurcated Mandibular Neural Canal

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