Sessions

Robotics

After several new achievements in medical robotic research, people have created to know the distinctive advantages of using robots for medical purposes. The main reasons that have drawn much attention to robotic systems result from their capability in carrying out a change of clinical and other medical tasks with high accuracy and repeatability, and their ability to provide physicians with improved visual feedback. Due to their capabilities and benefits in clinical areas, the research and deployment of robots for medical applications have increased. Today, medical robotic technology has improved, resulting in an increase of medical robots on the market along with their applications in real clinical situations. In the future, it is expected that robots will play very important roles in modern medical diagnosis, surgery, rehabilitation, and drug delivery.

Mechine Learning

Machine learning, also alternatively called Deep Learning involves the training up of a computer system to perform actions without being explicitly programmed. ANN is one of the ways or procedures for providing machine learning to computers.

User-Oriented Machine Learning
Machine Learning and Smart Energy Systems
Machine Learning Algorithms for Predictive Modelling
Reinforcement learning
Deep Learning
Language Processing
New Algorithms for Machine Learning
Machine Learning Systems
Bayesian Network
Supervised Unsupervised Learning
Supervised Unsupervised Learning
Robot Learning
Incentives in Machine learning
Machine Learning Theory
Inductive Machine Learning Methods
Machine Learning and Model Interpret ability
Economic Impacts of Machine Learning

Artificial Neural Networks&Deep Learning

An Artificial Neural Network (ANN) is a data organizing worldview that is forced by the way organic sensory systems. Artificial Neural Networks perform specific tasks like pattern recognition, clustering, etc. on the computer. They are similar to the human brains, obtain knowledge through learning, and their knowledge is stored within interneuron connection strengths. An Artificial Neural Network is designed for a particular application such as design acknowledgment or information arrangement, through a learning procedure. They are capable of processing and modelling nonlinear dependence between inputs and outputs in parallel. They are characterized by containing flexible weights along paths between neurons that can be tuned by a learning algorithm that learns from observed data in order to improve the model. Deep Learning is a function of artificial intelligence that copies the workings of the human brain in processing data and creating designs for use in decision making. Deep learning is structured learning that is a section of the machine learning method based on learning data description. It uses some form of inclination extraction for training via back propagation. The layers used in deep learning incorporate hidden layers of Artificial Neural Networks and sets of propositional formulas.

Internet of Things

The procedure of globalization has transformed the entire world into a worldwide town where every single one is interconnected and associated primarily because of the Internet of Things. To an enormous degree, the advancement of future age won't be conceivable without the Internet of Things. The rise of the IoT period brought new expectation and guaranteed a superior future. The interconnection between the IoT and globalization will be the focal point of the session. Computerization Technology's capacity to make great things later on stretches from fiction to actuality: self-driving autos, Virtual Reality, savvy gadgets. The applications for web associated gadgets are far reaching. A developing number of Internet of Things (IoT) gadgets are intended for human use. Beginning from agribusiness to resistance and space, Internet of Things is influencing our life from multiple points of view. This session about Internet of Things will examine how the IoT has been presently an indistinguishable piece of our way of life and the worries and advancements identified with it.

Computer Vision, Machine Vision and Analysis

As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. A significant part of artificial intelligence deals with planning or deliberation for system which can perform mechanical actions such as moving a robot through some environment. This type of processing typically needs input data provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot. Other parts which sometimes are described as belonging to artificial intelligence and which are used in relation to computer vision is pattern recognition and learning techniques.

Big Data, Data Science and Data mining.

These days, an immense amount of information is being delivered day by day. AI utilizes those information and gives a recognizable yield that can enhance the association and will assist with expanding ROI, Enormous Data is educational records that are so voluminous and complex that traditional information dealing with application writing computer programs are missing to oversee them. Enormous Data challenges fuse catching information, information stockpiling, information examination, search, sharing, move, representation, questioning, and refreshing and information security. There are three measurements to Big Data known as Volume, Variety and Velocity. Information Science oversees both organized and unstructured information. It is a field that consolidates all that is connected with the cleansing, status and last examination of information. Information science unites the programming, rational reasoning, number-crunching and insights. It gets data in the quickest manners and supports the limit of looking at things with a substitute perspective. Information mining is basically the path toward gathering data from monstrous data sets that was at that point vast and dark and after that using that data to make relevant business decisions. To put it even more basically, Data mining is a course of action of various strategies that are used as an aspect of the technique of learning divulgence for perceiving the associations and models that were in advance dark. We can accordingly term information mining as a crossroads of various fields like man-made consciousness, information room virtual base administration, design acknowledgment, perception of information, AI, and factual examinations, etc.

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