Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction.
Researchers introduced an unsupervised CycleGAN method to enhance SEM images of weakly conductive materials, surpassing traditional techniques. By leveraging unpaired blurred and clear images and introducing an edge loss function, the model effectively removed artifacts and restored crucial material details, promising significant implications for material analysis and image restoration in SEM.
Researchers introduced an AI-driven anomaly detection system, outlined in Scientific Reports, to combat illegal gambling and uphold fairness in sports. By analyzing diverse machine learning models on sports betting odds data, they achieved significant accuracy rates, paving the way for a robust solution against match-fixing in real-time, thus safeguarding sports integrity.
In the quest for harnessing AI's potential in healthcare, researchers advocate for robust ethics and governance frameworks to address challenges spanning from data privacy to regulatory complexities. Through global cooperation and adherence to guiding principles set by organizations like the WHO, a new paradigm emerges, ensuring responsible AI implementation for equitable healthcare access worldwide.
Researchers delve into the realm of object detection, comparing the performance of deep neural networks (DNNs) to human observers under simulated peripheral vision conditions. Through meticulous experimentation and dataset creation, they unveil insights into the nuances of machine and human perception, paving the way for improved alignment and applications in computer vision and artificial intelligence.
Researchers present a digital twin system for roadheaders in coal mining, integrating shape, performance, and control elements to enhance operational efficiency and safety. Utilizing numerical simulation, AI, and multi-source data fusion, the system enables real-time stress monitoring and adaptive adjustments, improving cutting parameters and preventing structural damage in challenging mining environments.
This study, published in Nature, delves into the performance of GPT-4, an advanced language model, in graduate-level biomedical science examinations. While showcasing strengths in answering diverse question formats, GPT-4 struggled with figure-based and hand-drawn questions, raising crucial considerations for future academic assessment design amidst the rise of AI technologies.
This article explores a groundbreaking approach that combines artificial intelligence (AI) with human expertise to revolutionize surgical consent forms, making them clearer and more specific. The study showcases significant improvements in readability and comprehension, ensuring patients are fully informed before undergoing procedures.
Researchers propose leveraging artificial intelligence and video technology to enhance fall risk assessment, ensuring privacy while providing rich contextual information. By utilizing AI to anonymize sensitive data in real-time video footage and complementing IMU gait characteristics with environmental context, a comprehensive understanding of fall risk is achieved without compromising privacy.
Researchers scrutinize the clinical prowess of cutting-edge language models like GPT-3.5 and GPT-4 alongside Google search, shedding light on their diagnostic and therapeutic capabilities across various medical scenarios. While GPT-4 emerges as a frontrunner, particularly in diagnosing common ailments, challenges persist, emphasizing the imperative for ongoing advancements and regulatory vigilance in integrating artificial intelligence into healthcare.
Researchers delve into the evolving landscape of crop-yield prediction, leveraging remote sensing and visible light image processing technologies. By dissecting methodologies, technical nuances, and AI-driven solutions, the article illuminates pathways to precision agriculture, aiming to optimize yield estimation and revolutionize agricultural practices.
This study delves into the unsettling potential of large language models, like GPT-3, to craft persuasive propaganda, comparing its effectiveness to human-authored content. Surprisingly, GPT-3-generated propaganda proved highly persuasive, highlighting the concerning efficiency of AI in influencing public opinion. Furthermore, the study suggests that human intervention, such as curating and editing GPT-3 output, could significantly enhance its persuasiveness, underscoring the evolving landscape of AI-driven manipulation.
This study explores the ethical dimensions of employing AI, particularly ChatGPT, for political microtargeting, offering insights into its effectiveness and ethical dilemmas. Through empirical investigations, it unveils the persuasive potency of personalized political ads tailored to individuals' personality traits, prompting discussions on regulatory frameworks to mitigate potential misuse.
This study delves into the complex relationship between technology and psychology, examining how individuals perceive androids based on their beliefs about artificial beings. By investigating the impact of labeling human faces as "android," the research illuminates how cognitive processes shape human-robot interaction and social cognition, offering insights for designing more socially acceptable synthetic agents.
The Science and Technology Facilities Council’s (STFC) Hartree Centre and the Mersey Care NHS Foundation Trust have announced a strategic partnership to advance Artificial Intelligence (AI) in healthcare across the Trust to optimise patient outcomes.
In a study published in Scientific Reports, advanced AI techniques dissected the social media activity of 1358 VK users, unveiling correlations between behavior and personality traits. Through meticulous analysis of 753,252 posts and reposts alongside Big Five traits and intelligence assessments, the research highlighted the influence of emotional tone and engagement metrics on psychological attributes, advocating for behavior-based diagnostic models in the digital realm.
Researchers proposed coordinated data sharing within a collective as a solution to address the pressing issue of privacy loss in the digital age. Leveraging decentralized AI, the study demonstrated that this approach not only recovered privacy for individuals but also significantly reduced costs for service providers. By shifting the focus from personal to collective privacy, coordinated data sharing offers a transformative path forward, emphasizing transparency, user-friendly policies, and a delicate balance between privacy preservation and data-sharing needs in our evolving society.
In a groundbreaking study, researchers detailed how ChatGPT-4 chatbots exhibited remarkably human-like behavioral and personality traits in Turing test scenarios and classic behavioral games. Through interactive sessions and comprehensive analyses, the study unveiled ChatGPT-4's tendencies towards altruism, fairness, trust, cooperation, and risk aversion, offering profound insights into the adaptability and responsiveness of AI in diverse scenarios.
Through a PVAR model, researchers explored the intricate relationship between AI progress, religious freedom, and economic growth across 26 countries. Their findings highlighted a significant positive correlation, showcasing the escalating influence of these factors on future economic landscapes and emphasizing the importance of traditional drivers like labor and capital. The study underscores policy implications for prioritizing AI integration and fostering religious freedom, while also suggesting avenues for future research to deepen our understanding of these complex dynamics.
Researchers introduced "Cap de Ballon," a virtual village designed to combat social isolation among older individuals. Leveraging virtual reality (VR), artificial intelligence (AI), and visual analysis, the collaborative effort resulted in a comprehensive methodology to develop immersive VR environments, fostering communication, creativity, and positive emotions among seniors. The study's findings underscored seniors' enthusiasm for VR engagement, highlighting the potential of virtual villages to enhance social and emotional well-being in the elderly population.
Researchers from South Korea and China present a pioneering approach in Scientific Reports, showcasing how deep learning techniques, coupled with Bayesian regularization and graphical analysis, revolutionize urban planning and smart city development. By integrating advanced computational methods, their study offers insights into traffic prediction, urban infrastructure optimization, data privacy, and safety and security, paving the way for more efficient, sustainable, and livable urban environments.
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