133,507 research outputs found

    Applying artificial intelligence models for the automatic forest fire detection

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    Throughout the past decade, the development of Artificial Intelligence-based devices for the automatic detection of early stage forest fires has been a growing focus. Computer Vision techniques are well-suited for this problem due to the distinctive visual characteristics of forest fires. The effectiveness of several Artificial Intelligence algorithms in a binary classification problem involving fire/ non-fire images was assessed by comparing them using a publicly available dataset. The benchmark dataset was used to both train and evaluate the models. An optimization method was employed to train the Artificial Intelligence algorithms, resulting in a higher performance than that previously achieved by studies on the same dataset

    Artificial Intelligence in Dentistry

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    The development and progression in artificial intelligence has been rapid over the past decade. The expansion of artificial intelligence applications into areas that were previously thought exclusive to human control and expertise is now a measurable phenomenon. This is largely facilitated by rapid advances in data acquisition and consumption, machine learning, and computing infrastructure improvements. The intention to introduce artificial intelligence applications into medicine and dentistry currently centers around patient care improvement, specifically to diagnostic capacity and prognostication, and to assist by providing tools for advanced decision making and even for treating patients remotely. This is an extremely complex field with close working relationships between various clinicians, researchers, and engineers

    Artificial intelligence: ChatGPT and human gullibility

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    Artificial intelligence (AI) has advanced rapidly in the past decade. The arrival of ChatGPT last year has pushed the debate about AI into the public sphere. ChatGPT, and similar tools, do things we once thought were outside the ability of computers. This raises questions for how we educate people about the capability and the limitations of such tools. This article provides an overview of artificial intelligence and explores what ChatGPT is capable of doing. It also raises questions about morality, responsibility, sentience, intelligence, and how humans’ propensity to anthropomorphise makes us gullible and thus ready to believe that this technology is delivering something that it cannot

    Status and prospects of computational fluid dynamics for unsteady transonic viscous flows

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    Applications of computational aerodynamics to aeronautical research, design, and analysis have increased rapidly over the past decade, and these applications offer significant benefits to aeroelasticians. The past developments are traced by means of a number of specific examples, and the trends are projected over the next several years. The crucial factors that limit the present capabilities for unsteady analyses are identified; they include computer speed and memory, algorithm and solution methods, grid generation, turbulence modeling, vortex modeling, data processing, and coupling of the aerodynamic and structural dynamic analyses. The prospects for overcoming these limitations are presented, and many improvements appear to be readily attainable. If so, a complete and reliable numerical simulation of the unsteady, transonic viscous flow around a realistic fighter aircraft configuration could become possible within the next decade. The possibilities of using artificial intelligence concepts to hasten the achievement of this goal are also discussed

    Artificial Intelligence and Customer Communication

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    There is a rapid increase in the usage of artificial intelligence in the most recent decade. Use of Artificial Intelligence in the customer interaction is gaining traction in the market. It is saving a lot of money because chat bots are taking away the need of physical resources. Best utilization of AI is past the customary contact focus, where an organization's administration impression becomes exponentially. When one considers the aggregate entirety of keen gadgets in an organization today that can convey data about clients and their items to the cloud, an extraordinary wellspring of client administration information is accessible to influence

    Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey

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    The past decade has seen significant advances in endoscopic imaging and optical enhancements to aid early diagnosis. There is still a treatment gap due to the underdiagnosis of lesions of the oesophagus. Computer aided diagnosis may play an important role in the coming years in providing an adjunct to endoscopists in the early detection and diagnosis of early oesophageal cancers, therefore curative endoscopic therapy can be offered. Research in this area of artificial intelligence is expanding and the future looks promising. In this review article we will review current advances in artificial intelligence in the oesophagus and future directions for development

    The roles of artificial intelligence and knowledge management in emergency telecommunications

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    Over the past decade, the international community has recognized the substantive role modern telecommunications can play in disaster relief operations and humanitarian actions.The Tampere Convention on “Emergency Telecommunications” was an initiative to facilitate these activities, endorsed by various international conferences.The role of artificial intelligence and knowledge management in emergency telecommunications could be tremendous, with applications potentially ranging from network and workflow management to training and decision support.In the future, a greater convergence among different technologies, artificial intelligence and knowledge management included, in the service of emergency telecommunications could be foreseen, thus achieving the noble goal of utilizing modern information and communications technologies for disaster mitigation

    Preparing Tomorrow’s Leaders for Yesterday: AI and Standardized Grammar Assessment

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    Following breakthroughs in machine learning over the past decade, artificial intelligence (AI) has been integrated into major aspects of schooling. One such subject matter is grammar, which has seen the advent of AI-based grammar checking. Through a critical lens, AI-grammar checking reveals inequitable prescriptivist grammar practices reified by standardized assessment
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