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ISSN: 2772-4859

An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges

Open Artificial Intelligence (AI) published an AI chatbot tool called ChatGPT at the end of November 2022. Generative Pre-trained Transformer (GPT) architecture is the foundation of ChatGPT. On the...

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A review of Blockchain Technology applications for financial services

Financial service providers find blockchain technology useful to enhance authenticity, security, and risk management. Several institutions are adopting blockchain in trade and finance systems to build...

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ChatGPT for healthcare services: An emerging stage for an innovative perspective

Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this...

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An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges

The Internet of Behaviour (IoB) is an effort to dissect behavioural patterns as explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore, both are anticipated to...

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Understanding hot interconnects with an extensive benchmark survey

Understanding the designs and performance characterizations of hot interconnects on modern data center and high-performance computing (HPC) clusters is a fruitful research topic in recent years. The...

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Combating disinformation on social media: A computational perspective

The use of social media has accelerated information sharing and instantaneous communications. The low barrier to enter social media enables more users to participate and makes them stay engaged longer,...

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Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning

Combating the COVID-19 pandemic has emerged as one of the most promising issues in global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right medical treatment to control...

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High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer

Emerging and future applications rely heavily upon systems consisting of Internet of Things (IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehouse-scale computers...

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Edge AIBench 2.0: A scalable autonomous vehicle benchmark for IoT–Edge–Cloud systems

Many emerging IoT–Edge–Cloud computing systems are not yet implemented or are too confidential to share the code or even tricky to replicate its execution environment, and hence their benchmarking is...

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HPC AI500 V3.0: A scalable HPC AI benchmarking framework

In recent years, the convergence of High Performance Computing (HPC) and artificial intelligence (AI) makes the community desperately need a benchmark to guide the design of next-generation scalable...

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Are current benchmarks adequate to evaluate distributed transactional databases?

With the rapid development of distributed transactional databases in recent years, there is an urgent need for fair performance evaluation and comparison. Though there are various open-source benchmarks...

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MVDI25K: A large-scale dataset of microscopic vaginal discharge images

With the widespread application of artificial intelligence technology in the field of biomedical images, the deep learning-based detection of vaginal discharge, an important but challenging topic in...

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SAIBench: Benchmarking AI for Science

Scientific research communities are embracing AI-based solutions to target tractable scientific tasks and improve research work flows. However, the development and evaluation of such solutions are scattered...

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Enabling Reduced Simpoint Size Through LiveCache and Detail Warmup

Simpoint technology (Sherwood et al., 2002) has been widely used by modern micro-architecture research community to significantly speedup the simulation time. However, the typical Simpoint size remains...

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Comparative evaluation of deep learning workloads for leadership-class systems

Deep learning (DL) workloads and their performance at scale are becoming important factors to consider as we design, develop and deploy next-generation high-performance computing systems. Since DL applications...

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2022 BenchCouncil International Symposium on benchmarking, measuring and optimizing (Bench 2022) call for papers

Sponsored and organized by the International Open Benchmark Council (BenchCouncil), the Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods, and tools....

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CpsMark+: A scenario-oriented benchmark system for office desktop performance evaluation in centralized procurement via simulating user experience

Rapid business expansion of various companies has placed growing demand on office desktops recent decades. However, improper evaluation of system performance and inexplicit awareness of practical use...

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Three laws of technology rise or fall

Newton’s laws of motion perfectly explain or approximate physical phenomena in our everyday life. Are there any laws that explain or approximate technology’s rise or fall? After reviewing thirteen information...

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IoTBench: A data centrical and configurable IoT benchmark suite

As the Internet of Things (IoT) industry expands, the demand for microprocessors and microcontrollers used in IoT systems has increased steadily. Benchmarks provide a valuable reference for processor...

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Performance optimization opportunities in the Android software stack

The smartphone hardware and software ecosystems have evolved very rapidly. Multiple innovations in the system software, including OS, languages, and runtimes have been made in the last decade. Although,...

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Performance characterization and optimization of pruning patterns for sparse DNN inference

Deep neural networks are suffering from over parameterized high storage and high consumption problems. Pruning can effectively reduce storage and computation costs of deep neural networks by eliminating...

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Optimizing the sparse approximate inverse preconditioning algorithm on GPU

In this study, we present an optimization sparse approximate inverse (SPAI) preconditioning algorithm on GPU, called GSPAI-Opt. In GSPAI-Opt, it fuses the advantages of two popular SPAI preconditioning...

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A BenchCouncil view on benchmarking emerging and future computing

The measurable properties of the artifacts or objects in the computer, management, or finance disciplines are extrinsic, not inherent — dependent on their problem definitions and solution instantiations....

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Asynchronous memory access unit for general purpose processors

In future data centers, applications will make heavy use of far memory (including disaggregated memory pools and NVM). The access latency of far memory is more widely distributed than that of local...

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Training, testing and benchmarking medical AI models using Clinical AIBench

AI technology has been used in many clinical research fields, but most AI technologies are difficult to land in real-world clinical settings. In most current clinical AI research settings, the diagnosis...

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