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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 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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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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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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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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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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LLMs: A game-changer for software engineers?

•LLMs promise a future of faster, more efficient, and collaborative software development.•This paper examines the transformative potential of LLMs in software development and argues that early adoption...

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Evaluation of mechanical properties of natural fiber based polymer composite

•One of the best natural fibers is jute fiber because of its availability, ease of access, and affordability.•In this study, the fabrication of Jute Fiber-Based Polymer composite was accomplished by...

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AIGCBench: Comprehensive evaluation of image-to-video content generated by AI

The burgeoning field of Artificial Intelligence Generated Content (AIGC) is witnessing rapid advancements, particularly in video generation. This paper introduces AIGCBench, a pioneering comprehensive...

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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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Regulatory landscape of blockchain assets: Analyzing the drivers of NFT and cryptocurrency regulation

The study analyzes the global regulatory landscape for blockchain assets, particularly cryptocurrencies and non-fungible tokens, focusing on the motivations behind policymaker actions, the diversity...

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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions

Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment,  and predictive analytics. Nonetheless, the increasing...

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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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Advanced Deep Learning Models for Improving Movie Rating Predictions: A Benchmarking Study

•Deep learning models benchmarked for accurate movie rating prediction.•Novel integration of sentiment analysis and advanced feature extraction techniques.•Comparative performance evaluation identifies...

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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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An investigation into the preparation and evaluation of the physio-mechanical properties of glass-cotton, glass-jute, and glass-banana fiber-reinforced epoxy composite materials

•Hand layup method has been used to fabricate Glass-Cotton, Glass-Jute, and Glass-Banana Fiber-Reinforced Epoxy Composites.•Tensile strength, flexural strength, and water absorption properties of these...

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Hybrid deep learning model for identifying the cancer type

Despite current advances, cancer remains one of the biggest health challenges globally, and diagnosis must be made earlier to begin treatment. In this work, we introduce a hybrid deep learning-based...

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Benchmarking ChatGPT for prototyping theories: Experimental studies using the technology acceptance model

•We explore the paradigm of leveraging ChatGPT as a bench tool for theory prototyping in business research.•We conducted two experimental studies using the classical technology acceptance model (TAM)...

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Enhanced deep learning based decision support system for kidney tumour detection

•The study introduces a deep learning-based decision support system for kidney cancer detection that achieved an accuracy of 99.75 % using DenseNet-201 and utilizes a dataset of 10,000 CT images, including...

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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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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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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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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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Predicting the number of call center incoming calls using deep learning

One of the main problems in call centers is the call queue. This can lead to long waiting times for customers, increased frustration and call abandonment. The important role that predictive analytics...

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