While Hollywood movies and science fiction novels depict Artificial intelligence as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary or quite that smart instead.
copyright by www.qwenu.com
In today’s world technology is grooming very fast and day by day we are getting in touch with different new technologies, machines, devices, e.t.c Humans have developed such great devices which are compact in size, high in speed, and can make our lifestyle very easy, and all these are just because of the fast-growing technology.
Now one of the booming technologies of computer science is Artificial Intelligence (AI). Which is ready to create a new revolution in the world by making machines with brains. Artificial intelligence is now all around us. Artificial intelligence (AI) is currently working on a variety of subfields. While Hollywood movies and science fiction novels depict Artificial intelligence as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary or quite that smart instead; artificial intelligence is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
Since the development of the digital computer in the early 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess with great proficiency. Still, despite continuing improvements in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider fields or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as vast as medical diagnosis, computer search engines, mobile virtual assistants and voice or handwriting recognition.
How Artificial Intelligence Works
Artificial Intelligence works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. Artificial Intelligence is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields:
Machine learning which automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without explicitly being programmed for where to look or what to conclude.
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Neural network is a type of machine learning that is made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data.
Deep Learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech recognition.
Cognitive computing is a subfield of AI that strives for natural, human-like interaction with machines. Using AI and cognitive computing, the ultimate goal is for a machine to simulate human processes through the ability to interpret images and speech – and then speak coherently in response. […]
read more – qwenu.com
While Hollywood movies and science fiction novels depict Artificial intelligence as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary or quite that smart instead.
copyright by www.qwenu.com
Now one of the booming technologies of computer science is Artificial Intelligence (AI). Which is ready to create a new revolution in the world by making machines with brains. Artificial intelligence is now all around us. Artificial intelligence (AI) is currently working on a variety of subfields. While Hollywood movies and science fiction novels depict Artificial intelligence as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary or quite that smart instead; artificial intelligence is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
Since the development of the digital computer in the early 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess with great proficiency. Still, despite continuing improvements in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider fields or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as vast as medical diagnosis, computer search engines, mobile virtual assistants and voice or handwriting recognition.
How Artificial Intelligence Works
Artificial Intelligence works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. Artificial Intelligence is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields:
Machine learning which automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without explicitly being programmed for where to look or what to conclude.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Neural network is a type of machine learning that is made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data.
Deep Learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech recognition.
Cognitive computing is a subfield of AI that strives for natural, human-like interaction with machines. Using AI and cognitive computing, the ultimate goal is for a machine to simulate human processes through the ability to interpret images and speech – and then speak coherently in response. […]
read more – qwenu.com
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