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ISSN: 2772-4859

Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system

Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely accepted in several fields, including education. Students can learn about ideas and theories by using this technology while...

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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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e₹—The digital currency in India: Challenges and prospects

The Reserve Bank of India (RBI) has recently launched the country’s first pilot project for the digital currency known as the digital rupee or e-Rupee (e₹). The launch of the digital rupee represents...

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Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations

•The potential benefits for companies of adopting ChatGPT, a popular chatbot built on a large-scale transformer.•To carefully analyze its use cases and restrictions, as well as its strengths and disadvantages.•ChatGPT...

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Benchmarking, ethical alignment, and evaluation framework for conversational AI: Advancing responsible development of ChatGPT

Conversational AI systems like ChatGPT have seen remarkable advancements in recent years, revolutionizing human–computer interactions. However, evaluating the performance and ethical implications of...

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Mind meets machine: Unravelling GPT-4’s cognitive psychology

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large Language Models (LLMs) are emerging as potent tools increasingly...

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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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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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Benchmarking HTAP databases for performance isolation and real-time analytics

Hybrid Transactional/Analytical Processing (HTAP) databases are designed to execute real-time analytics and provide performance isolation for online transactions and analytical queries. Real-time analytics...

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MetaverseBench: Instantiating and benchmarking metaverse challenges

The rapid evolution of the metaverse has led to the emergence of numerous metaverse technologies and productions. From a computer systems perspective, the metaverse system is a complex, large-scale...

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DPUBench: An application-driven scalable benchmark suite for comprehensive DPU evaluation

With the development of data centers, network bandwidth has rapidly increased, reaching hundreds of Gbps. However, the network I/O processing performance of CPU improvement has not kept pace with this...

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SNNBench: End-to-end AI-oriented spiking neural network benchmarking

Spiking Neural Networks (SNNs) show great potential for solving Artificial Intelligence (AI) applications. At the preliminary stage of SNNs, benchmarks are essential for evaluating and optimizing SNN...

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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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ERMDS: A obfuscation dataset for evaluating robustness of learning-based malware detection system

Learning-based malware detection systems (LB-MDS) play a crucial role in defending computer systems from malicious attacks. Nevertheless, these systems can be vulnerable to various attacks, which can...

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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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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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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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CloudAISim: A toolkit for modelling and simulation of modern applications in AI-driven cloud computing environments

There is a very significant knowledge gap between Artificial Intelligence (AI) and a multitude of industries that exist in today’s modern world. This is primarily attributable to the limited availability...

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Algorithmic fairness in social context

Algorithmic fairness research is currently receiving significant attention, aiming to ensure that algorithms do not discriminate between different groups or individuals with similar characteristics....

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Characterizing and understanding deep neural network batching systems on GPUs

As neural network inference demands are ever-increasing in intelligent applications, the performance optimization of model serving becomes a challenging problem. Dynamic batching is an important feature...

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CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images

COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised...

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Enabling hyperscale web services

Modern web services such as social media, online messaging, and web search support billions of users, requiring data centers that scale to hundreds of thousands of servers, i.e., hyperscale. The key...

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