166,991 resources related to Artificial Intelligence
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEE Colloquium on Application of Artificial Intelligence Techniques to Signal Processing, 1989
IEE Colloquium on Software Engineering and AI (Artificial Intelligence) (Digest No.087), 1992
2010 International Conference on Artificial Intelligence and Education (ICAIE), 2010
Artificial intelligence is a comprehensive cutting-edge discipline which is developing, and an important research direction in the fields of science computer and technology. This paper uses the principles and methods of artificial intelligence on the basis of describing the concept and research areas of artificial intelligence, focuses on in-depth analysis and discussion of applicable perspective and development of artificial intelligence ...
2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018
With the development of the artificial intelligence, the artificial intelligence technology is gradually applied to medicine to assist the doctors for disease diagnosis and surgery, which promotes the rapid development of the precision medicine. In this paper, the surgical system based on the artificial intelligence and the augmented reality is explored. In the future, the surgery system based on the ...
2012 International Conference of Robotics and Artificial Intelligence, 2012
Lightning has been one of the major problems for insulation design of power systems and it is still one of the main causes of forced outages in transmission and distribution lines. It is necessary to protect the power apparatus from over volts in electric system caused by lightning over voltages. Artificial intelligence (AI) techniques, such as expert system (ES), fuzzy ...
What's There To Fear About AI?: IEEE TechEthics Keynote with Toby Walsh
TryEngineering Careers with Impact: Mataric
Robotics History: Narratives and Networks Oral Histories: Yoshiaki Shirai
A Conversation with…Toby Walsh: IEEE TechEthics
Towards a Comprehensive Approach to Ensuring that AI and Robotics are Beneficial: IEEE TechEthics Keynote with Wendell Wallach
Robotics History: Narratives and Networks Oral Histories: Ruzena Bajcsy
The Path to Robust Machine Learning: IEEE TechEthics Keynote with Richard Mallah
Robotics History: Narratives and Networks Oral Histories: Ernst Dickmanns
Artificial Intelligence and Life in 2030
Memory Centric Artificial Intelligence - Damien Querlioz at INC 2019
A Conversation with Rodney Brooks: IEEE TechEthics Interview
A Conversation with…Richard Mallah: IEEE TechEthics
Q&A with Natesh Ganesh: IEEE Rebooting Computing Podcast, Episode 22
Better than Brilliant - Dr Alan Finkel - Opening Ceremony Keynote: Sections Congress 2017
Tech Super Stars Panelist - Karen Bartleson: 2016 Technology Time Machine
Robotics History: Narratives and Networks Oral Histories: Rolf Pfiefer
A Conversation with Danielle Bassett: IEEE TechEthics Interview
Keynote Address and Opening Remarks - IEEE AI & Ethics Summit 2016
IROS TV 2019 Haptic Intelligence with Dr. Katherine J Kuchenbecker
Artificial intelligence is a comprehensive cutting-edge discipline which is developing, and an important research direction in the fields of science computer and technology. This paper uses the principles and methods of artificial intelligence on the basis of describing the concept and research areas of artificial intelligence, focuses on in-depth analysis and discussion of applicable perspective and development of artificial intelligence in modern physical education technology, and raises the corresponding development strategies to the use of artificial intelligence in modem sports educational technology, in order to provide the theoretical support for the establishment and development of modern physical education technical disciplines.
With the development of the artificial intelligence, the artificial intelligence technology is gradually applied to medicine to assist the doctors for disease diagnosis and surgery, which promotes the rapid development of the precision medicine. In this paper, the surgical system based on the artificial intelligence and the augmented reality is explored. In the future, the surgery system based on the artificial and augmented reality will intelligently assist doctors to perform the operation and achieve the goal of the minimally invasive surgery.
Lightning has been one of the major problems for insulation design of power systems and it is still one of the main causes of forced outages in transmission and distribution lines. It is necessary to protect the power apparatus from over volts in electric system caused by lightning over voltages. Artificial intelligence (AI) techniques, such as expert system (ES), fuzzy logic (FL), and artificial neural network (ANN), and genetic algorithm (GA), techniques can solve complex engineering problems which are difficult to solve by traditional methods. This research focuses on (AI) technique i.e. fuzzy logic on mapping the lightning strike area around 500 k-v Grid station based on; level of strike (high, medium, low) and category of lightning (positive cloud-to-ground, negative cloud-to-ground, flash).Predefined areas around 500k-v Sheikh muhammadi Grid station Peshawar is chosen as a case study. This research will be helpful in risk management and lightning protection analysis by determining the area and characterizing the lightning strikes around the Grid station.
The kaburobo is a kind of stock robot developed by Waseda University written in JAVA. People can finish virtual stock exchanges (VIREAL) on a imagine platform. Players can also make a program to carry on the algorithm simulation and be realized it through the software interface. This paper introduced kaburobopsilas work principle in detail. Based on the research result and through this stock trade platform, we studied the application of artificial intelligence (AI) in stock exchanges field. This article only does one simple analysis and hoped can get up function which certain offered a few ordinary introductory remarks so that others may offer their valuable ideas in China.
Digital Signal Processors (DSP) are vital system components in industrial Artificial Intelligence (AI) applications. In this paper, FIR filters that could be used for industrial AI applications are designed from the Spline Biorthogonal 1.5 (SB1.5) mother wavelet using a real-time, low-cost, generic industrial IoT (IIoT) hardware: the C28x DSP and low-level, Embedded C, system software. Our contribution in this paper is the first reported application of the C28x for SB1.5 wavelet construction. The significance of this approach is to be able to repurpose low-cost, readily available hardware for distributed AI applications. Our approach is different from the state of the art, in which specialized hardware are always manufactured for implementing AI applications at large network edges. Our approach supports low-cost and fast single-stage FIR implementation suitable for use in real-time, distributed AI application at network edges, since in our case, successive recursion of FIR filters leading to a full implementation of Pyramid Algorithm is not implemented. The designed FIR filter is evaluated and found capable of both low-pass and high pass filtering operations. Results of this paper indicate that the C28x real- time DSP, which exists in many IoT devices, could have improved scalability by being deployed for other important AI and IoT network edge analytic applications, different from its present uses.
Computation occurred within human brain is very much awesome and is not possible to be emulated 100% exactly in Artificial Intelligence (AI) method- based machines. What scientists did and have been done so far up to now are to try to model it as close as to what exactly occurs within the brain. Human brain has an awesome mechanism in performing computation with the end result is new knowledge and human uses the knowledge to actuate his organs. In this paper we will show a new approach for emulating the computation occured within human brain to obtain new knowledge based on the inputs sensed by the system's sensory system taken from the environment. When this process is carried out recursively, the system's knowledge becomes newer and newer, and it is called as knowledge growing. This approach is designed for an agent that has ability to think and act rationally like human. Our cognitive modelling approach is resulted in a model of human information processing and a technique to obtain the most maximum performance should be taken by the cognitive agent. This method is called as A3S (Arwin-Adang-Aciek-Sembiring), the agent is called as Knowledge-Growing System (KGS) and this brain-inspired method opens a new perspective in AI that we call as Cognitive Artificial Intelligence (CAI).
Artificial intelligence evolves with the development of computers even rely on computational development. The ways and processes of human thinking developed by Psychologists and welcomed by computational experts produce the science of Artificial Intelligence. This continues with the development of cognitive science that encourages the development of Artificial Intelligence to Cognitive Thinking Intelligence, a new pathway to the science of Artificial Intelligence that can emulate human cognitive abilities even if not 100%. Emulation of human cognitive abilities is developed based on the modeling of system interaction with the environment and information fusion, which can be used to conduct Inferencing, so when this occurs repeatedly it will produce knowledge that grows. This process is called Knowledge Growing System which is Brain Inspired Cognitive Artificial Intelligence and can be used for information extraction and when applied to instrumentation system will realize Intelligent Instrumentation System.
The article analyzes the application of artificial intelligence methods for control of mobile robots. The proposed method of selecting of the optimal artificial intelligence technology by the set of available technologies for control of mobile robots allows to improve the functional characteristics of the robot control system as a whole and its individual subsystems by the optimal coverage of a set of tasks and procedures solved by the robot control system. The method is based on the description of the initial information in the form of preference relations on a set of alternatives. As a solution to the problem of selecting an optimal information technology is adopted the most nondominant alternative. The proposed method was applied to the selection of the optimal artificial intelligence technology for modelling traffic control and technical operation field irrigation in developing control system of mobile robotic sprinkler system “Fregat”, This method can be implemented in the design of software not only for mobile robots, but robots for other purposes.