Descriptions
Artificial intelligence is such of that field which is most very popular in Technology area. We all are interact with AI everyday where its like Siri or like Alexa or like Google Assistance or may be some other digital assistance . but do you know that which type of technologies used in Artificial Intelligences ?
Behind of AI many Technologies have used in. first on used in Machine Learning technology which is used for train to AI and find way to how will be solve the problem .
Second Technology is Natural Language Processing which is also most important Technology for AI , This Technology mainly used for to gives the ability to speak in natural language like Siri and Alexa . there are some others technologies For AI which is 3rd Computer Vision and 4th Robotics .and Deep learning is Part of AI which is sub field but works accordingly .
Using Computer Vision for AI to detect the capability of Images and Videos . And using robotics gives AI to capability of to do physical tasks . like Running a machine or assembling some machines Parts and creating .
In AI many types of programming languages are used for this and the most popular language is Python, but C++ java is also used in . There are also many type of libraries and frameworks for AI such as Tensor flow, PyTorch, aur scikit-learn .
AI used in many types of Applications like- Finance, Health care, Transportations Etc! Usage of AI in any kind of industry makes more efficiency in their field.
Machine Learning
Machine learning is a part of Artificial intelligence, And in this training is given to computer programme to so it that can learn from itself and predictions. In this do not tell rules to computers programs. Rather its learn from the data itself. For machine learning using some algorithms like Linear Regression, Logistic Regression, Decision Trees, Neural Networks etc . Using these algorithms analyze the data and detect the pattern, relationships, and trends, after this make predictions and recommendations using these pattern.
There are certain programming language is apply in machine learning like Python, java and also there is some popular libraries and frameworks such as TensorFlow, Keras, and scikit-learn.
The use of machine learning is highly increasing in the future, and for this demand for skilled professionals is also increasing. so If you people are have interest in machine learning then you can explore this field and make your career in it.
Natural Language Processing
(NLP) is a such of field which is come across in Artificial intelligence and linguistics. In this computer programme have ability to understand, generate and accelerate the natural language like Hindi, English, French. Its used to now days in lot of chatbots,virtual assistance ,and search engines. Some of techniques used in NLP which is Tokenization, POS tagging, Parsing ,Machine Translation .In machine Translation, translate from one natural language to another .
- In Tokenization divide the Text into word or phase.
- In POS tagging tag each word according to its part of speech.
- In parsing convert text into parse trees sot that its relationship and structure can be understood.
- And in machine Translation, translate from one natural language to another.
Some popular applications NLP are Sentiment Analysis, Named Entity Recognition, and Speech Recognition. And several programming languages are used for NLP, such as Python, java, and C++. In addition, there are some Popular NLP Libraries and Frameworks , such as NLKT, SpaCy and Gensim.
Robotics
Robotics such of that type of technology which is come across mechanical engineering ,electrical engineering ,and computer science . In this robots study about design, constructions and programming. It is used nowadays in a lot of manufacturing, medical, and space exploration. Some techniques used in robotics such as Mechanical Design, Electronics and Programming.
In mechanical design, describe the physical structure and movement of robots. In electronics, sensors and motors are used to control robots. And in programming, robots are controlled through instructions and algorithms.
Some of the popular applications of robotics are as Industrial Automation, Medical Robotics, and Space Exploration.
In industrial automation, controlling the manufacturing process using robots can automate. And in medical robotics, surgery and patient care can be improved by using robots. And In space exploration, can explore and study space missions using robots.
Some programming languages are used for robotics, which is C++, Python and other than this also used some popular frameworks and software such as ROS(Robot Operating system), OpenAI Gym, and Gazebo.
Robotics is going to grow even more in the future and for this the demand of skilled professionals is also increasing. If you have interest in robotics then you can explore this field and make your career in it.
Computer Vision
Computer vision is a field that comes under Artificial Intelligence (AI). In this, computer programs are given the ability to understand and analyze visual data, such as images and videos. It is used nowadays in a lot of autonomous vehicles, surveillance systems, and image recognition. Its This technology used some techniques which is like Image Processing , Features Detection, Object Detection and Image segmentation.
- In image Processing’s used for Image cleaning ,Resize, and filtering purpose
- In feature detection, detecting distinctive features from images, such as edges, corners, and blobs
- In Object Detection, objects are detected in images, such as cars, people, and animals.
- In Image Segmentation, we divide images into segments or regions based on common characteristics.
Some Common applications of computer vision are facial recognition, autonomous vehicles, and medical imaging. In facial recognition, using algorithms to detect, recognize, and verify faces. In Autonomous Vehicles, the use of computer vision gives vehicles the capability to avoid barrier, and to detect traffic signals and signs. And in medical imaging, using computer vision to detect tumors and other medical conditions from images.
Several programming languages are used for Computer Vision, such as Python, MATlab, and C++. In addition, there are have some popular computer vision libraries and frameworks, which is OpenCV, TensorFlow, and Keras. The use of Computer Vision is increasing even more in the future, and for this the demand for skilled professionals is also increasing. If you have interest in computer vision then you can explore this field and make your career in it.
Deep Learning
Deep learning is one such artificial intelligence (AI) subfield, In which algorithms are trained so that they can detect and understand patterns and relationships from the data. These algorithms are very complex, and they help in developing human-written decision making capability.
Artificial neural networks (ANS) are make use of for deep learning. ANN is computational model inspired by the functioning of the human brain . where is Simulate the neurons that can process data in ANN. In ANN ,Multiple layers are used to develop complex decision making capability.
Given obliging applications of deep learning are Image Recognition, Speech Recognition, Natural Language Processing (NLP)
- In image recognition, deep learning algorithms are used to detect objects and patterns in images.
- In speech recognition, deep learning algorithms are used to detect and recognize spoken words.
- In Natural Language Processing, deep learning algorithms are used to analyze text data and develop chatbots and virtual assistants.
Some programming languages are used for deep learning, such as Python, MATlab and C++. There are some acceptable deep learning frameworks, such as TensorFlow, Keras, and PieChart.
The use of Deep Learning AI as the rest of the technology is increasing in the future, and the demand for skilled professionals is also increasing, If you have interest in deep learning then you can explore this field and make your career in it.
Conclusion
Artificial intelligence or AI is a rapidly evolving the field of technology and also involves the use of various technologies to create intelligent systems.
From machine learning and natural language processing to computer vision and robotics, That technologies are used to create applications that can perform tasks that would be normally require human intelligence. But AI continues to going advance, so we can expect to see even more innovative and more functional in future that will change the way we live and work.
