Artificial Intelligence (AI)

Artificial Intelligence

Artificial intelligence is branch of computer science. the creation of intelligent machines which works like human and react like human are designed  with AI they include the following:

                   1.speech recognition

                   2.learning

                   3.planning

                   4.problem solving

                            it is has become essential part of technology industry

Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as:

• Knowledge
• Reasoning
• Problem solving
• Perception
• Learning
• Planning

AI ROBOTS:

now-a-days robots are with AI technology. recently china releved a robot which reads news it means its an anchor robot the robot is also designed with AI technology. the robot is developed by  Xinhua. and its  perfectly  working and it can give expression as human as reading the news. the robot is named as Qio Hao.

 why its important:

• AI automates repetitive learning and discovery through data
• AI analyzes more and deeper data
• AI adds intelligence
• AI adapts through progressive learning algorithms
• AI gets the most out of data
• AI achieves incredible accuracy

Working together with AI

Artificial intelligence is not here to replace us. It augments our abilities and makes us better at what we do. Because AI algorithms learn differently than humans, they look at things differently. They can see relationships and patterns that escape us. This human, AI partnership offers many opportunities. It can:                                                                                                                                                                                                                                           

• Bring analytics to industries and domains where it’s currently underutilized.
• Improve the performance of existing analytic technologies, like computer vision and time series analysis.
• Augment existing abilities and make us better at what we do.
• Give us better vision, better understanding, better memory and much more. 

How Artificial Intelligence Works

AI 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. AI is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields:

• Machine learning 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.
• A 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 a 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.  
• Computer vision relies on pattern recognition and deep learning to recognize what’s in a picture or video. When machines can process, analyze and understand images, they can capture images or videos in real time and interpret their surroundings.
• Natural language processing (NLP) is the ability of computers to analyze, understand and generate human language, including speech. The next stage of NLP is natural language interaction, which allows humans to communicate with computers using normal, everyday language to perform tasks.

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