Artificial Intelligence

Artificial intelligence is a performance based-system idea in a robot. Artificial Intelligence brings creative way to the robot to be able to render assistance to humans in changeable and dynamic environments, such as homes, hospitals, the workplace, and all around us. It is a process of making a a computer operated robot or a software think logically, in a comparable manner the creative humans imagine. Artificial intelligence is performed by analysing how human brain conceives and how humans learn, decide, and work while seeking to solve a query, and then using the results of this study as a basis of progressing intelligent software and systems. In the actual world, knowledge has some unwelcomed assets.

AI algorithms can tackle learning, perception, problem-solving, language-understanding and/or logical reasoning. In modern world AI can be used in many ways even when it is to control robots. Sensors, actuators and non-AI programming are parts of larger robotic system.

Cognitive Computing

Cognitive Computing refers to the hardware and/or software that helps to improve human decision-making and mimics the functioning of the human brain. It refers to systems that can learn at scale, reason with purpose and interact with humans naturally. It comprises of software libraries and machine learning algorithms for extracting information and knowledge from unstructured data sources. The main is to accurate models of how the human brain/mind senses, reasons, and responds to stimulus. High performance computing infrastructure is powered by processors like multicore CPUs, GPUs, TPUs, and neuromorphic chips. They interact easily with users, mobile computing and cloud computing services so that those users can define their needs comfortably.

Neural Informatics for Cognitive Computing

Neural Information theory is a multidisciplinary enquiry of the physiological and biological representation of knowledge and information in the brain at the neuron level.

Machine Learning

Machine learning is a part of artificial intelligence based on the idea that systems can learn from data, make decisions and identify designs with insignificant human intervention. Machine learning is a method for making a personal computer, a PC controlled robot, or a product think smartly, and within the comparative way the perceptive people think. They are normally grouped by either learning style or by comparison in method or function. It simplifies the continuous advancement of scheming through introduction to new scenarios, testing and adaptation, while employing pattern and trend detection for improved decisions in succeeding situations. ML gives possible arrangements in every one of these areas, and is set to be a support of our future progress.

Artificial Neural Networks and Deep Learning

Artificial Neural Networks is a computational model based on the structure and functions of biological neural networks. ANNs are considered nonlinear statistical data modelling tools where the complex relationships between inputs and outputs are modelled or patterns are found.

Modern Digital Computers outperform humans in the domain of numeric computation and related symbol manipulation. However, humans can effortlessly solve complex perpetual problems (like recognizing a man in a crowd from a mere glimpse of his face) at such a high speed and extend as to dwarf the world’s fastest computer. The biological neural system architecture is completely different. This difference significantly affects the type of functions each computational model can best perform

Numerous efforts to develop intelligent programs based on von Neumann’s centralized  architecture have not resulted in general-purpose intelligent programs. Inspired by biological neural networks, ANNs are massively parallel computing systems consisting of an extremely large number of simple processors with many interconnections. ANN models attempt to use some organizational principles believed to be used in the human

Ambient Intelligence

Ambient intelligence (AmI) deals with the computing devices, where physical environments interact intelligently and conservatively with people. These environments should be aware of people's needs, customizing requirements and forecasting behaviours. It can be diverse, such as homes, meeting rooms, offices, hospitals, schools, control centres, vehicles, etc. Artificial Intelligence research aims to include more intelligence in AmI environments, allowing better support for humans and access to the essential knowledge for making better decisions when interacting with these environments.

Perceptrons

Perceptron is a machine learning algorithm that helps to provide classified outcomes for computing. It is a kind of a single-layer artificial network with only one neuron and a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector.

Multilayer Perceptron is a class of feed forward artificial neural networks. And the layered feed forward networks are trained by using the static back-propagation training algorithm. For designing and training an MLP perceptron several issues are involved:

Number of hidden layers is selected to use in the neural network. A solution that avoids local minima is globally searched. Neural networks are validated to test for overfitting

Robotics and Mechatronics

Mechatronics is combination or junction of Electrical, Mechanical, and Computer Science Engineering. Mechatronics is the closest to robotics with the slight and main difference in mechatronics systems inputs are provided whereas in robotics systems it acquires the inputs by their own. A Mechanical Engineer is mostly responsible for the Mechanical body parts, Electrical/Computer Engineer for the Electrical aspect and Computer Engineer for Programming. And the Mechatronics Engineer must be pretty much qualified for every partition we discussed above. Robotics is a very broad term; we must go through different application to understand it better.

Natural Language Processing

Natural Language Processing (NLP) is a subset of Artificial Intelligence. Its ability is to interpret and understand human language the way it’s spoken or written and to make the machines/computer as intelligent as human beings in understanding language.

Natural language generation (NLG) and Natural language understanding (NLU) are the two main components of NLP.  NLU understanding involves mapping the given input in natural language into useful representations and NLG is the process of producing meaningful phrases and sentences in the form of language.

Cloud Computing

Cloud computing is branch of information technology which grants universal access to shared pools of virtualised computer resources. A cloud can host different workloads, allows workloads to be scaled/deployed-out on-demand by rapid provisioning of physical or virtual  machines, self-recovering, supports redundant, and highly-scalable programming models and allows workloads to recover from hardware/software rebalance and failures allocations.

Artificial Intelligence technology plays a very important role in Making resources available, Distribution transparency and Openness Scalability especially for Cloud Computing Application. Artificial intelligence and cloud computing will have an important impact on the development of information technology by mutually collaborating.

Autonomous Robots

Autonomous robots are the intelligently capable machines which can perform the task under the control of a computer program. They are independent of any human controller and can act on their own. The basic idea is to program the robot to respond a certain way to outside stimuli. The combined study of neuroscience, robotics, and artificial intelligence is called neurorobotics.

Parallel Processing

Parallel Processing reduces processing time by simultaneously breaking up and running program tasks on multiple microprocessors. There are more engines (CPUs) running, which makes the program run faster. It is particularly useful when running programs that perform complex computations, and it provides a viable option to the quest for cheaper computing alternatives. Supercomputers commonly have hundreds of thousands of microprocessors for this purpose.

Parallel programming is an evolution of serial computing where the jobs are broken into discrete parts that can be executed concurrently. It is further broken down to a series of instructions and the instructions from each part execute simultaneously on different CPUs.

The journal invites different types of articles including original research article, review articles, short note communications, case reports, Editorials, letters to the Editors and expert opinions & commentaries from different regions for publication.

 The Journals includes around 150Abstracts and 100 Keynote speakers have given their valuable words. The meet has provided a great scope for interaction of professionals including in addition to clinical experts and top-level pathologists and scientists from around the globe, on a single platform.
 

Media Contact:
Sarah Rose
Journal Manager
International journal of swarm intelligence and evolutionary computation
Email: evolcomput@journalres.org