The rate of progress in the field of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased over the past ten years and continues to accelerate. Since then, AI has made the leap from resear...
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ISBN:
(数字)9781665468220
ISBN:
(纸本)9781665468220
The rate of progress in the field of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased over the past ten years and continues to accelerate. Since then, AI has made the leap from research case studies to real production ready applications. The significance of this growth cannot be undermined as it catalyzed the very nature of computing. Conventional platforms struggle to achieve greater performance and efficiency, what causes a surging demand for innovative AI accelerators, specialized platforms and purpose-built computes. At the same time, it is required to provide solutions for assessment of ML platform performance in a reproducible and unbiased manner to be able to provide a fair comparison of different products. This is especially valid for Human System Interaction (HSI) systems that require specific data handling for low latency responses in emergency situations or to improve user experience, as well as for preserving data privacy and security by processing it locally. Taking it into account, this work presents a comprehensive guideline on preferred benchmarking criteria for evaluation of ML platforms that include both lower level analysis of ML models and system-level evaluation of the entire pipeline. In addition, we propose a Systematic Taxonomy of embedded Platforms (STEP) that can be used by the community and customers for better selection of specific ML hardware consistent with their needs for better design of ML-based HSI solutions.
The proceedings contain 110 papers. The topics discussed include: integrating speech input in educational immersive virtual reality applications: a systematic review;discrete-event co-simulation interface for time-tri...
ISBN:
(纸本)9798350350982
The proceedings contain 110 papers. The topics discussed include: integrating speech input in educational immersive virtual reality applications: a systematic review;discrete-event co-simulation interface for time-triggered organic computing;imaging in a smart agriculture platform;comparative analysis of machine learning techniques for enhanced predictive modeling in healthcare;exploring graph-based techniques in job recommendation systems;multiple inputs and hybrid deep learning model to identify suspicious posts on social media;analysis and prediction of computer science students’ performance based on core foundational courses using ensemble machine learning methods;efficient news synopsis generation with T5 transformers;and a flexible multi-agent systems task environment for simulating hybrid intelligence.
With the ageing of the social population, in order to avoid elderly people living alone at home because of accidental falls and not timely treatment, this article put forward a computer vision based on the elderly fal...
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Gesture recognition has played a significant role in human-computer interaction. Millimeter-wave radar sensor is a class of necessary sensor for human gesture recognition in an indoor condition due to its advantages o...
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This paper discusses the development of a visualization module for a cloud-based practicum on the poST language. The module integrates dynamic display, editing, and export capabilities, enhancing the learning experien...
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By making transportation safer and more efficient, autonomous vehicle navigation systems are transforming the transportation industry. Autonomous cars are able to make route selections based on accurate, up-to-theminu...
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The metaverse is a new 3-D digital space that uses virtual reality, augmented reality, and other advanced internet and semiconductor technology to provide people with lifelike personal and business experiences online....
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ISBN:
(纸本)9798350323856
The metaverse is a new 3-D digital space that uses virtual reality, augmented reality, and other advanced internet and semiconductor technology to provide people with lifelike personal and business experiences online. Metaverse has these features of having a sense of immersion with realtime interactivity and user agency. By incorporating cuttingedge technologies like blockchain, artificial intelligence, extended reality, and edge computing, the metaverse is transitioning from science fiction to impending reality. Nevertheless, the metaverse has become increasingly common, but it still does not provide advancement in the real scenario. Users will inherently interact with the virtual world mainly through the use of realtime metaverse applications. We looked into the availability of active metaverse applications and discovered that there is an inadequate number of applications due to various challenges that developers are currently facing. We built the requirements in two phases, focusing on user and developer perspectives, for creating immersive metaverse applications. Therefore, this vision paper takes on to address the challenges that are acting as a barrier currently for developing the metaverse applications. We conclude the paper by demonstrating the impact of the derived challenges on metaverse in education.
The Vivaldi antenna with meander line defected ground structure (DGS) resonates at ultra-wide band (UWB) frequencies. The substrate patch is designed with exponentially tapered slot Vivaldi (ETSV) antenna and rectangu...
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The application of convolutional neural networks (CNNs) in real-time speech recognition in real-time speech improves the real-time processing capability and the ability to accurately and effectively control speech in ...
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High-speed, low-latency wireless communication with 5G technology promises disruptive applications in many fields. In dense urban environments with complicated propagation characteristics, a 5G connection is still dif...
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