Submit your abstract to any of the mentioned tracks. All related abstracts are accepted.
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Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Artificial intelligence, is also called machine intelligence, is intelligence demonstrated by machines. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, Learning, Planning, Problem-solving.
Data science consists of pre-processing, analysis, visualization, and prediction of data. It relates to data mining and big data. It uses scientific methods and algorithms to extract knowledge from structured and unstructured data.it assists in finding abnormalities, prediction, and targets. It obtains raw data and processes through analytical, programming, and business skills.
Big data deals with a massive amount of data that are analysed by machines to facilitate future predictions and AI requires this large data to learn. It is associated with three concepts: volume, variety, and velocity. This act of accessing and storing massive data has been around a long time for analytics.
Machine learning deals with artificial intelligence that helps the systems to learn automatically from the experiences without being pre-programmed. Machine learning works on the development of computer programs that access data and use it. the intelligent systems organized on machine learning have the capability to learn from historical data.
The Robotics field involves both science and engineering that deals with the design and construction of mechanical robots. It is one branch of artificial intelligence and basically a design, operation, construction, use of robots as well as computer systems for their control and information processing. This field uses new kinds of sensors and connected devices to monitor aspects like temperature, pressure, light, motion, and more.
Deep learning works like artificial intelligence that shows the workings of the human brain for use in decision making. It has evolved with the digital era and brought an explosion of data from every region of the world. It is the science of training large artificial neural networks. Deep neural networks (DNNs) can have hundreds of millions of parameters allowing them to model complex functions such as non-linear dynamics.
Reinforcement learning has software agents which take action in an environment to maximize cumulative rewards. It comes under the area of machine learning and it is one of the three basic machine learning paradigms along with supervised and unsupervised learning. It differs from supervised learning in a way that is the training data has the answer key with it whereas in reinforcement learning, there is no answer but the reinforcement agent decides what to do to perform the given task.
Computer science, information technology, and artificial intelligence contribute to natural language processing. It deals with the interaction between human languages and computers. Speech recognition, natural language understanding, and generation are the challenges in natural language processing. The steps which are used in natural language Processing include Lexical Analysis, Syntactic Analysis, Semantic Analysis, Discourse Integration, Pragmatic Analysis, etc. This topic will help participants to understand how Artificial Intelligence and Natural language processing can be utilized to perform useful tasks using various human languages.
Computer vision is a scientific field that assists computers to acquire high-level understanding from videos and digital images. It automates the tasks that the human visual system can do. It includes acquiring, analysing, processing, and understanding high-dimensional data to produce a symbolic representation of data. As a scientific discipline, it is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data.
The recommender system assists the user in predicting the future preference from a set of items. In this modern society, the need for this system is high due to the more options available to the people on the internet. It uses both collaborative filtering and content-based filtering. the difference between the two can be demonstrated by comparing these two – Last.FM and Pandora Radio
The Iot consists of computer devices, digital machines, objects, and people that are given unique identifiers. It has the ability to transfer data without human-to-human interaction or human-to-computer interaction over a network. The Internet of things (IoT) refers to the networked interconnection of objects equipped with ubiquitous intelligence, or simply “smart objects”. Several endeavours have been made in the last decade to bring together standard modelling languages with generic simulation frameworks.
Quantum computing is a Mechanical phenomenon such as superposition and entanglement to perform computation. A quantum computer performs computations that can be done physically or theoretically. Analog and digital are the two main approaches to physically implement a quantum computer. It could spur the development of breakthroughs in science, machine learning methods to diagnose illness sooner, and algorithms to quickly direct resources.
Artificial intelligence seeks help from software and complex algorithms to emulate human cognition in complicated medical data analysis. AI application in healthcare aims to analyse the relationship between treatment techniques and patient outcomes. AI is as effective as humans in the treatment of various medical conditions.
An autonomous vehicle is a Self-driving vehicle that uses a combination of sensors, radar, and cameras. It uses techniques of artificial intelligence to travel between destinations without a human operator. An autonomous robot is a robot that performs behaviours or tasks with a high degree of autonomy, which is particularly desirable in fields such as space lights, household maintenance (such as cleaning), waste-water treatment, and delivering goods and services. Some modern factory robotics is “autonomous" within the strict confines of their direct environment.
Information technology uses computers for storing, retrieving, and manipulating information. It is used in business operations and entertainment technologies. IT is considered a subset of reinforcement learning. AI has revolutionized the very essence of space. I can play a relatively important role in this domain.
A neural network is a network consisting of neurons. Artificial nodes or neurons combine to form an artificial neural network. This Neural network is either biological made of natural neurons or artificial, to solve problems. It is already being used in trade the security markets and to analyze credit risks. Neural networks mimic to some extent the processing characteristics of the human brain.
Statistical learning is an important phenomenon for machine learning from statistical and functional analysis fields. Statistical learning theory is based on finding a predictive function for a problem. Its applications are in the fields of computer vision, speech recognition, and bioinformatics. It provides the theoretical basis for many machine learning algorithms.
Artificial intelligence can free up personnel, improve security measures and ensure that the business is moving in the right technology-advanced, innovative direction. According to Forbes, 70% of financial firms are using machine learning to predict cash flow events, adjust credit scores, and detect fraud.
All accepted abstracts will be published in respective Allied Academies Journals.
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