7 research outputs found

    The Impact and Transformation of Artificial Intelligence

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    There is never a lack of fascinating new research in the field of artificial intelligence, and this study is by no means an exhaustive account of the advancements made in the last ten years. There are numerous fields in AI. A lot of the information covered in this study could be applied to the creation of powerful artificial intelligence. It is essential to create a computer that can understand the underlying meanings of the words since this permits more conversational and accurate translation. Exciting studies are being conducted on the use of audio and visual cues to identify human emotions. In particular, this paper provides a thorough overview of recent developments in the field of artificial intelligence and its applications. A beginner to the subject of artificial intelligence is the target audience for this paper. It also serves to remind the researchers of certain previously mentioned challenges. This review article defines artificial intelligence in general and explores its impact on both the present and the future. This review covers the fundamental concepts of artificial intelligence and machine learning

    COMPUTERIZED REASONING AND ITS APPLICATION IN DIFFERENT AREAS

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    Later on, intelligent machines will supplant or improve human abilities in numerous ranges. Manmade brainpower is the insight displayed by machines or programming. It is the subfield of software engineering. Counterfeit consciousness is turning into a prevalent field in software engineering as it has improved the human life in numerous regions. Counterfeit consciousness over the most recent two decades has extraordinarily enhanced execution of the assembling and administration frameworks. Concentrate in the territory of manmade brainpower has offered ascend to the quickly developing innovation known as master framework. Application zones of Artificial Intelligence is huge affecting different fields of life as master framework is broadly utilized nowadays to take care of the perplexing issues in different ranges as science, building, business, solution, climate estimating. The territories utilizing the innovation of Artificial Intelligence have seen an expansion in the quality and proficiency. This paper gives an outline of this innovation and the application regions of this innovation. This paper will likewise investigate the present utilization of Artificial Intelligence advances in the PSS configuration to clammy the power framework motions caused by interferences, in Network Intrusion for shielding PC and correspondence systems from gatecrashers, in the therapeutic region prescription, to enhance healing facility inpatient mind, for restorative picture arrangement, in the bookkeeping databases to alleviate its issues and in the PC recreations

    International Conference Management, Business and Economics

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    UBT Annual International Conference is the 9th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent advancements in different research fields, and provide them with a unique forum to share their experiences. It is also the place to support the new academic staff for doing research and publish their work in international standard level. This conference consists of sub conferences in different fields like: Art and Digital Media Agriculture, Food Science and Technology Architecture and Spatial Planning Civil Engineering, Infrastructure and Environment Computer Science and Communication Engineering Dental Sciences Education and Development Energy Efficiency Engineering Integrated Design Information Systems and Security Journalism, Media and Communication Law Language and Culture Management, Business and Economics Modern Music, Digital Production and Management Medicine and Nursing Mechatronics, System Engineering and Robotics Pharmaceutical and Natural Sciences Political Science Psychology Sport, Health and Society Security Studies This conference is the major scientific event of the UBT. It is organizing annually and always in cooperation with the partner universities from the region and Europe. We have to thank all Authors, partners, sponsors and also the conference organizing team making this event a real international scientific event

    A forecast of space technology, 1980 - 2000

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    The future of space technology in the United States during the period 1980-2000 was presented, in relation to its overall role within the space program. Conclusions were drawn and certain critical areas were identified. Three different methods to support this work were discussed: (1) by industry, largely without NASA or other government support, (2) partially by industry, but requiring a fraction of NASA or similar government support, (3) currently unique to space requirements and therefore relying almost totally on NASA support. The proposed work was divided into the following areas: (1) management of information (acquisition, transfer, processing, storing) (2) management of energy (earth-to-orbit operations, space power and propulsion), (3) management of matter (animate, inanimate, transfer, storage), (4) basic scientific resources for technological advancement (cryogenics, superconductivity, microstructures, coherent radiation and integrated optics technology)

    Typogenetic design - aesthetic decision support for architectural shape generation

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    Typogenetic Design is an interactive computational design system combining generative design, evolutionary search and architectural optimisation technology. The active tool for supporting design decisions during architectural shape generation uses an aesthetic system to guide the search process. This aesthetic system directs the search process toward preferences expressed interactively by the designer. An image input as design reference is integrated by means of shape comparison to provide direction to the exploratory search. During the shape generation process, the designer can choose solutions interactively in a graphical user interface. Those choices are then used to support the selection process as part of the fitness function by online classification. Enhancing human decision making capabilities in human-in-the-loop design systems addresses the complexity of architecture in respect to aesthetic requirements. On the strength of machine learning, the integral performance trade-off during multi-criteria optimisation was extended to address aesthetic preferences. The tacit knowledge and subjective understanding of designers can be used in the shape generation process based on interactive mechanisms. As a result, an integrated support system for performance-based design was developed and tested. Closing the loop from design to construction using design optimisation of structural nodes in a set of case studies confirmed the need for intuitive design systems, interfaces and mechanisms to make architectural optimisation more accessible and intuitive to handle. This dissertation investigated Typogenetic Design as a tool for initial morphological search. Novel instruments for human interaction with design systems were developed using mixed-method research. The present investigation consists of an in-depth technological enquiry into the use of interactive generative design for exploratory search as an integrated support system for performance-based design. Associated project-based research on the design potential of Typogenetic Design showcases the application of the design system for architecture. Generative design as an expressive tool to produce architectural geometries was investigated in regard to its ability to drive initial morphological search of complex geometries. The reinterpretation of processes and boosting of productivity by artificial intelligence was instrumental in exploring a holistic approach combining quantitative and qualitative criteria in a human-in-the-loop system. The shift in focus from an objective to a subjective understanding of computational design processes indicates a perspective change from optimisation to learning as a computational paradigm. Integrating learning capabilities in architectural optimisation enhances the capability of architects to explore large design spaces of emergent representations using evolutionary search. The shift from design automation to interactive generative design introduces the possibility for designers to evaluate shape solutions based on their knowledge and expertise to the computational system. At the same time, the aesthetic system is trained in adaptation to the choices made by the designer. Furthermore, an initial image input allows the designer to add a design reference to the Typogenetic Design process. Shape comparison using a similarity measure provides additional guidance to the architectural shape generation using grammar evolution. Finally, a software prototype was built and tested by means of user-experience evaluation. These participant experiments led to the specification of custom software requirements for the software implementation of a parametric Typogenetic tool. I explored semi-automated design in application to different design cases using the software prototype of Typogenetic Design. Interactive mass-customisation is a promising application of Typogenetic Design to interactively specify product structure and component composition. The semi-automated design paradigm is one step on the way to moderating the balance between automation and control of computational design systems

    Forecasting and Assessing the Impact of Artificial Intelligence on Society

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    At the present stage of research in artificial intelligence, machines are still remote from achieving a level of intelligence comparable in complexity to human thought. As computer applications become more sophisticated, however, and thus more influential in human affairs, it becomes increasingly important to understand both the capabilities and limitations of machine Intelligence and its potential impact on society. To this end, the artificial intelligence field was examined in a systematic manner. The study was divided into two parts: (1) Delineation of areas of artificial intelli gence, and postulatio " of hypothetical prod ucts resulting from progress in the field, and (2) A judgmental portion, which involved applications and implications of the products to society. For the latter purpose, a Delphi study was conducted among experts in the artificial intelligence field to solicit their opinion concerning prototype and commercial dates for the products, and the possibility and desirability of their applications and implications. 1
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