AI and Machine Learning

Machine learning is an area of artificial intelligence with the concept of computer program can learn and adapt to new data without human intervention more specifically machine learning. It allows the computer program to automatically improve through experience using computer algorithms. We use machine learning in our daily life like Siri, Google Maps, Virtual assistants Translations.

Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. Deep learning is used in all industries for a number of different tasks. Commercial apps that use image recognition, open-source platforms, Virtual assistants, Chatbots and service bots. Deep learning algorithms can automatically translate between languages and these algorithms are also used in medical research tools that explore the possibility of reusing drugs for new ailments. Deep learning allows machines to solve difficult problems even when using a data set that is very diverse, unstructured and inter-connected.

NLP is a branch of artificial intelligence which deals with the interaction between computers and humans using the natural language. NLP makes it possible for the  computers to read text, hear speech, interpret the data , measure sentiment and determine which parts are important mostly NLP techniques rely on machine learning to derive meaning from human languages. Tasks that are used in higher-level NLP are Content categorization, Speech-to-text and text-to-speech conversion, Document summarization, Machine translation.

Big data is a term that describes the large volume of data. The AI technologies used in big data are:

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  Anomaly Detection: If anomaly detection is not detected in any data base then big data analytics can be used. fault detection, sensor networks can be detected with big data technology.


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   Pattern Recognition: It is a technique of ML used in identifying the patterns in a certain amount of data, with help of training data set the patterns can be identified

An artificial neural network (ANN) are computing systems and information processing models these are inspired by biological neurons  that are designed to simulate the way the human brain analyses and processes information. ANN is the foundation of artificial intelligence (AI) and it solves problems that would    prove impossible or difficult by human or statistical standards. Artificial neural networks have self-learning capabilities that enable them to produce better results as more data becomes available.

When most people hear the term artificial intelligence, the first thing they usually think of robots. A robot is a mechanical device that is capable of performing a variety of tasks on command or according to instructions programmed in advance so a robot perform a task easily and with greater accuracy Some everyday examples of robots are

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  Automatic teller machines (ATMs)


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  Remote control cars and trucks


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  Vending machines

Human-Robot Interaction (HRI) is a involving in several disciplines field of study and it mainly focusing on computer technology. HRI is one of the challenging research fields in the intersection of psychology, cognitive science, the social sciences, artificial intelligence, computer science, robotics, and engineering. Generally people's exposure to robots in their daily lives like robotic toys, household appliances like robotic vacuum cleaners or lawn movers.

Learning is the fundamental building blocks of artificial intelligence it helps in improving the knowledge of Artificial intelligence programming.AI learning processes focused mainly on processing of a collection of input-output pairs for a specific function and predicts the outputs for new inputs. The learning models used in AI and ML are

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  Reinforcement Learning


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  Supervised Learning


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  Semi-supervised Learning


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  Unsupervised Learning

Computer vision is a part of artificial intelligence that enables a machine to understand the visual world. With the help of computer vision, a computer system can precisely locate and identify images and videos to fetch meaningful information from the real world Artificial intelligence helps computer vision to serve the following purposes

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  Self-driving cars


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  Facial recognition


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  AR and mixed reality