• Session-1: Artificial Intelligence

    Artificial intelligence (AI), deep learning, machine learning and neural networks represent incredibly exciting and powerful machine learning-based techniques wont to solve many real-world problems. For a primer on machine learning, you will be wanting to read this five-part series that I wrote. While human-like thought reasoning, inference, and decision-making by a computer remains a protracted time away, there are remarkable gains within the appliance of AI techniques and associated algorithms.

  • Session-2: Humanoid Robots

    Human-oriented research on robotics is an active field. Researchers within the past tried to create robots that might mimic citizenry and perform complicated tasks. Recently, they need to be shifted their main interest to human-symbiotic robotics during which citizenry receive services from robots or are co-workers with robots in performing collaborative tasks. Hitachi began research on robotics at a really early stage and has been involved in many challenging projects since then. Its prototype intelligent robot within the 1970s and its Advanced Quadruped Robot within the 1980s are samples of Hitachi’s commitment to the present field and therefore the lessons learned from these projects are reflected in our latest EMIEW humanoid robots that act as evolving hubs between the human, machine, and knowledge worlds.

  • Session-3: Machine Learning

    Machine Learning is the study of algorithms and statistical models that computers use to perform a selected task without using any explicit instructions or counting on patterns. This is seen as a subset of AI.

    Machine learning algorithms build a mathematical model supported sample data, referred to as "TRAINING DATA", so as to form predictions and/or decisions without being explicitly programmed to perform the task.

  • Session-4: Nano-robots

    Nano-robots are the robots that are merely called that manageable machine at the Nano (10-9) meter or molecular scale, composed of Nano-components. a lot of specifically, Nano artificial intelligence refers to the still for the most part hypothetic engineering discipline of coming up with and building Nano robots. Although the sector of Nano artificial intelligence is essentially totally different from that of the macro robots because of the variations in scale and material, there are several similarities in style and management techniques that eventually can be projected and applied. Because of the trendy scientific capabilities, it's become doable to aim the creation of Nano robotic devices and interface them with the macro world for management. There are innumerable such machines that exist in nature and there's a chance to create a lot of them by mimicking nature. Today these Nano robots play a significant role within the field of Bio medication. Particularly within the treatment of cancer, aneurism, excretory organ stones removal, conjointly to get rid of the defected half in our DNA structure and a few alternative treatments that has the best aid to save lots of human lives. This paper guides to the recent analysis on Nano robots within the Bio medical applications.

  • Session-5: Data Science

    There square measure several definitions for information science, however we tend to wish to think about the sector because the multidisciplinary approach to unlocking stories and insights from the information being collected on a spread of behaviours, topics, and trends. Information science is everyplace — and likelihood is that you’ve already interacted with it nowadays an entire ton. Take Google’s program, as an example. Its algorithmic rule and website ranking and results square measure firmly within the realm of information science. If you’ve uploaded a photograph on Facebook and also the social media platform recommended tagging a disciple, you’ve interacted with information science. That Netflix recommendation to continue your binge looking at, Amazon’s product recommendations, or targeted advertisements square measure all the results of information science.

  • Session-6: Medical robotics

    Medical Robotics is associate knowledge domain field that focuses on developing mechanical device devices for clinical applications. The goal of this field is to alter new medical techniques by providing new capabilities to the medico or by providing help throughout surgical procedures. Medical Robotics may be a comparatively young field, because the 1st recorded medical application occurred in 1985 for a brain diagnostic assay. It's tremendous potential for rising the exactitude and capabilities of physicians once activity surgical procedures, and it's believed that the sector can still grow as improved systems become accessible. This chapter offers a comprehensive summary regarding medical Robotics field and its applications. It begins with associate introduction to Robotics, followed by a historical review of their use in medication. Clinical applications in many completely different medical specialties square measure discussed. The chapter concludes with a discussion of technology challenges and areas for future analysis.

  • Session-7: Speech Processing

    Automatic speech recognition (ASR) is a freelance, machine-based method of decipherment and transcribing oral speech. A typical ASR system receives acoustic input from a speaker through an electro-acoustic transducer, analyses it exploitation some pattern, model, or rule, and produces an output, typically within the style of a text .It is vital to tell apart speech recognition from speech understanding the latter being the method of decisive the which means of AN auditory communication instead of its transcription. Speech recognition is additionally completely different from voice recognition: whereas speech recognition refers to the power of a machine to acknowledge the words that square measure spoken voice recognition involves the power of a machine to acknowledge speaking vogue.

  • Session-8: Robotic locomotion

    Robotic locomotion systems function a base platform for much of the sector of robotics. Although the general public nation of a robot usually conjures images of either walking bipeds or wheeled mobile robots, the types of systems developed in robotics research extend far beyond these two classes of robots. Starting from a really general definition of gait, one finds that it's quite natural to define a good sort of machines and devices as qualifying as robotic locomotion systems, including swimming robots, satellites with robots, and modular metamorphic robots.

  • Session-9: Block Chain

    A block chain could be a group action information shared by all nodes collaborating during a system that supported the Bitcoin protocol. A full copy of a currency's block chain contains each group action ever dead within the currency. With this info, one will verify what proportion worth belonged to every address at any purpose in history. Each block contains a hash of the previous block. This has the impact of making a sequence of blocks from the genesis block to this block. Every block is absolute to come back once the previous block chronologically as a result of the previous block's hash would otherwise not be glorious. Every block is additionally computationally impractical to change once it's been within the chain for a jiffy as a result of each block once it'd even have to be regenerated. These properties square measure what create bit coins transactions irreversibly? The block chain is the main innovation of Bit coin.

  • Session-10: Cloud Robotics

    With the event of Cloud Computing, Big Data, and alternative rising technologies, the combination of cloud technology and multi-robot systems makes it potential to style multi-robot systems with improved energy potency, high period of time performance, and low value. So as to deal with the potential of clouds in enhancing artificial intelligence for industrial systems, this paper describes the essential ideas and development method of cloud artificial intelligence and therefore the overall design of those systems. Then, the key driving forces behind the event of cloud artificial intelligence area unit fastidiously analysed from the purpose of read of cloud computing, big data, ASCII text file resources, mechanism cooperative learning, and network property. After, the key problems and challenges within the current cloud robotic systems area unit planned, and a few potential solutions are given. Finally, the potential worth of cloud robotic systems in several sensible applications is mentioned.

  • Session-11: Big Data Analytics

    The construct of large information has been around for years; most organizations presently understand that if they capture all the knowledge that streams into their businesses, they're going to apply analytics and find a vital price from it. however, even at intervals the 19 Fifties, decades before anyone expressed the term “big knowledge”, businesses were mistreatment basic analytics (essential numbers throughout a software package that were manually examined) to uncover insights and trends. The new blessings that large information analytics brings to the table, however, square measure speed and efficiency. Whereas some years past a business would have gathered information, run analytics and unearthed information that might be used for future choices, currently that business can confirm insights for immediate choices. The power to figure faster – and keep agile – offers organizations a competitive edge they didn’t have before.

  • Session-12: Power System Control

    A control system may be a system of devices or sets of devices, that manages, commands directs or regulates the behaviour of different devices or systems to realize desired results. In different words, the definition of an effective system is simplified as a system that controls different systems. As human civilization is being modernized day by day the demand for Automation is increasing consequently.

  • Session-13: Mechatronics

    It is conjointly known as mechatronic engineering, or a department of engineering that concentrates on the engineering of each electrical and mechanical operations, and conjointly includes a combination of AI, physical science, computer, telecommunications, systems, control, and products engineering. As technology developed over time, many subfields of engineering have resulted in each adapting and multiplying. The aim of mechatronics is to supply a style clarification that unites every of those varied subfields. Basically, the department of mechatronics was nothing over a combination of mechanics and physical science, therefore the name could be a portmanteau of mechanics and electronics; but, because the complexness of technical systems continuing to evolve, the definition had been widened to incorporate additional technical areas.

  • Session-14: Deep Learning

    Deep Learning is may be a machine learning techniques that constructs artificial neural networks to mimic the structure and performance of the human brain. In follow, deep learning, additionally called deep structured learning or gradable learning, uses an oversized variety hidden layers -typically over half dozen however typically a lot of higher - of nonlinear process to extract options from knowledge and remodel the information into totally different levels of abstraction (representations).

  • Session-15: Swarm robotics

    Swarm robotics may be a novel approach to the coordination of huge numbers of robots and has emerged because the application of swarm intelligence to multi-robot systems. Different from other swarm intelligence studies, swarm robotics puts emphases on the physical embodiment of people and realistic interactions among the individuals and between the individuals and therefore the environment. During this chapter, we present a quick review of this new approach. We first present its definition, discuss the most motivations behind the approach, also as its distinguishing characteristics and major coordination mechanisms. Then we present a quick review of swarm robotics research along four axes; namely design, modelling and analysis, robots and problems.

  • Session-16: Neural Systems

    The neural systems are structures that build, support, and memorise the inner world through natural computing wherever they facilitate and organize the growing complexness of sensorimotor transmission of knowledge. Neural systems are consistent and based in specific parts classified by location, connections, and performance. In several animals, significantly mice and rats, brain elements referred to as barrels are directly associated with specific body components (whiskers) and are visible in brain sections with standard and special strategies.

  • Session-17: Underwater robotics

    Underwater robotics applications have extensively grown within the last twenty years both for scientific investigations and industrial needs. Technological improvements within the design and development of the mechanics and electronics of the systems are followed by the event of very efficient and elaborate control strategies. Indeed the framework of underwater robotics is challenging form both a theoretical and experimental point of view.

  • Session-18: Image processing

    Image processing may be a method to perform some operations on a picture, so as to urge an enhanced image or to extract some useful information from it. It’s a kind of signal processing during which input is a picture and output could also be image or characteristics/features related to that image. Nowadays, image processing is among rapidly growing technologies. It forms core research area within engineering and computing disciplines too.

  • Session-19: Agricultural Robot

    Agriculture is that the backbone of India. The robotics plays a serious role in various fields like industrial, medical, military applications etc., the robotics field are gradually increasing its productivity in agriculture field. A number of the main problems within the Indian agricultural are rising of input costs, availability of skilled labors, lack of water resources and crop monitoringTo beat these problems, the automation technologies were utilized in agriculture. The automation within the agriculture could help farmers to scale back their efforts. The robots are being developed for the processes like fruit picking, monitoring, Irrigation, etc., All of those functions haven't yet performed employing a single robot.

  • Session-20: Natural Language Processing

    As our unconscious may be a powerful tool, it also can resolve the issues that you simply aren't seeing consciously. The unconscious has the answers that you simply got to overcome that specific situation. Once you become conscious of the way to overcome a challenge, your whole thought process changes. Your entire being changes. You’ll end up doing things differently and getting an excellent outcome from it. Now wouldn't that be something that appeals to you.

  • Session-21: Aerial Robotics

    A wide array of potential applications exist for robots that have the extent of mobility offered by flight. The military applications of aerial robotics are recognized ever since the beginnings of powered flightand that they have already been realized to sometimes spectacular effect in surveillance, targeting, and even strike missions. The range of civilian applications is even greater and includes remote sensing, disaster response, image acquisition, surveillance, transportation, and delivery of products.

  • Session-22: Data mining

    Data mining is that the process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of knowledge stored in repositories, using pattern recognition technologies also as statistical and mathematical techniques.

  • Session-23: Ubiquitous Robotics

    We present an idea of a ubiquitous industrial robot. It’s been defined to contain technologies of AI, ubiquitous computing, sensor network and industrial robots. The benefits compared with current intelligent robots are that they're more autonomous and that they have cognitive skills. A ubiquitous robot is interoperable with all sensors, computers and other devices around it. One important factor is that the natural interaction with humans. The ever present approach is more common in consumer applications but still new within the industrial environment, albeit many research efforts are being made. We also present an example of a ubiquitous robot: the isle of automation.

  • Session-24: Artificial Neural Networks

    The Artificial Neural Network (ANN), or just neural network, may be a machine learning method evolved from the thought of simulating the human brainThe info explosion in trendy drug discovery analysis needs sophisticated analysis strategies to uncover the hidden causal relationships between single or multiple responses and an outsized set of properties. The ANN is one among many versatile tools to satisfy the demand in drug discovery modelling. Compared to a standard regression approach, the ANN is capable of modelling complex nonlinear relationships. The ANN also has glorious fault tolerance and is quick and very scalable with multiprocessing.

  • Session-25: BEAM Robotics

    BEAM robots are a kind of robot that don't use computers. They typically cheap to form and may be built within a couple of days—unlike computer-based robots which will be costly, complex and take years to create . BEAM robots are often either simple machines consisting of a photovoltaic cell, motor, transistors and capacitors or as complex as an 8-jointed, 4-legged walking spider machine.

  • Session-26: AI Machine Learning in Health Care & Medical Science

    Machine Learning works effectively within the presence of massive information. Life science is producing an outsized amount of data every day from analysis and development (R&D), physicians and clinics, patients, caregivers etc. These information is employed as synchronizing the info and exploitation it to spice up health care infrastructure and coverings. This has the potential to assist numerous people, to save lots of lives and money. As per a search , big data and machine learning in pharmacy and medicine could generate a worth of up to $100B annually, supported better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators.

  • Session-27: Ant robotics

    Ant robotics may be a special case of swarm robotics. Swarm robots are simple (and hopefully, therefore cheap) robots with limited sensing and computational capabilities. This makes it feasible to deploy teams of swarm robots and cash in of the resulting fault tolerance and parallelism. Swarm robots cannot use conventional planning methods thanks to their limited sensing and computational capabilities. Thus, their behaviour is usually driven by local interactions. Ant robots are swarm robots which will communicate via markings, almost like ants that lay and follow pheromone trails. Some ant robots use long-lasting trails (either regular trails of a chemical substance or smart trails of transceivers. Others use short-lasting trails including heat and alcohol. Others even use virtual trails.

  • Session-28: Robotic Process Automation

    RPA is an Independent property. Because the first professional vendor of RPA products in China, RPA aims to unravel the matter of business process automation for enterprises, greatly reducing the amount of individuals engaged in standard, repetitive, cumbersome and high-volume work tasks. It’s the purest sort of automation. With its lightweight, efficient and fast performance, RPA has stepped out of the "machine-making" stage and stepped into a replacement field of "replacement for people to try to things."

  • Session-29: Industrial Applications of Robotics

    Current innovation, for a dominant a part of development, extends in creation, throwing, machining and obtain together offices, are going to be a big supporter of ripeness development with ample gains within the assortment of products even with troublesome test and rivalry Industrial Robots are getting used for around 50 years. The Present-Day Robots at Work: Industrial Robots have come to assume a big job in numerous modern systems today. These robots are very often of the Jacquard type—with a few of human qualities—as against the doll-like structure. The work that robots are often grouped into three noteworthy divisions: within the gathering and completing of items; within the progression of materials and objects, and within the exhibition of labor in naturally troublesome or risky conditions.

  • Session-30: Android Science

    The development of robots that closely resemble citizenry can contribute to cognitive research. An android provides an experimental apparatus that has the potential to be controlled more precisely than any human actor. However, preliminary results indicate that only very human like devices can elicit the broad range of responses that folks typically direct toward one another.

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