Gemini is a new and powerful artificial intelligence model from Google that can understand not only text, but also images, videos and sounds. As a multimodal model, Gemini is capable of performing complex tasks in mathematics, physics, and other fields, as well as understanding and generating high-quality code in various programming languages.
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This study reveals the transformational potential of artificial intelligence (AI) in reshaping energy management. The extensive analysis explores the major trends, ethical considerations, regulatory ramifications, and predicted changes. The findings highlight AI’s critical role in enhancing efficiency, sustainability, and resilience in energy systems. Recommendations for stakeholders and policymakers emphasise research funding, ethical deployment, and international collaboration. The study provides a road map for integrating AI for a sustainable and resilient energy future.
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In recent decades, numerous countries have actively promoted and encouraged interdisciplinary research (hereafter IDR), as it is believed to promote scientific development and innovation. Recent studies have shown that interdisciplinary publications tend to attract more citations and gain higher societal visibility, thus potentially contributing to long-term career development. However, pursuing IDR requires significant time and effort to integrate knowledge from diverse disciplines, and such research may face difficulties in terms of publication and recognition compared to more traditional research. The high risk and uncertainty associated with IDR discouraged many ECSs that are facing “up or out” pressure.
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An emerging class of online celebrities—knowledge celebrities—who sell self-created knowledge products on online platforms has become prevalent in recent years. As with conventional online celebrities globally and locally, knowledge celebrities make themselves appealing to a sizable following and further capitalize on such an advantage to earn money.
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Large language models (LLMs) are starting to get integrated in many of our daily information access activities. But they often hallucinate and provide information that can be harmful. We can’t and shouldn’t trust them blindly, but what choice we have if they become our primary method of accessing information? We want to leverage the enormous potential LLMs have, but we also want them to be trustworthy. How do we do this? I offer three specific suggestions.
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For 2023, a new video series, An Archipelago of Information Science. The 7-episode playlist is on YouTube at INFIDEOS. The series explores ideas on the frontier of Information Science. Altogether, the collection enacts the metaphor of an island chain—an archipelago—of incipient concepts existing still somewhat offshore, but within sight, of the Information Science mainland. (The mainland is our literature where many well-established tenets reside.) Viewers are taken on an archipelago adventure, following a tour guide who is my own seagull avatar. There are several destinations, namely the islands of: Embodied Information, Contemplation, a Multispecies Perspective, Love, and Psychedelic Information Theory. The video thumbnail for these “islands” are shown below. Each stop on the journey is a expeditious primer, and the featured concept is defined and situated within the history and literature of Information Science. The series is ideal for anyone curious about emergent concepts and new directions in Information Science.
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Since its release over a year ago, ChatGPT, developed by OpenAI, has sparked significant interest and debate surrounding the capabilities and implications of AI-powered conversational systems. As time has passed, experts, researchers, and ordinary users have had the opportunity to assess and analyze the impact of ChatGPT in various domains. This article delves into the developments, opinions, studies, and public perception surrounding ChatGPT since its launch, offering a comprehensive overview of the progress made and the challenges that remain. From expert opinions to research studies and the thoughts of ordinary individuals, this article explores the multifaceted perspectives that have emerged over the course of the past year.
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Lewis Carroll’s works serve as a compelling testament to the intrinsic value of images as a fundamental component of communication and storytelling. These artistic interpretations not only complement words but also elevate the narrative, enabling readers to step into a world where the boundaries between reality and imagination blur.
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The emergence of generative AI and Large Language Models (LLMs) has sparked heated discussions around their ethical usage. The stakes are higher when it comes to the ethical use of generative AI in high schools. High schoolers are the next generation’s decision-makers, and educating them on ethical generative AI use in academia is crucial.
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In this article, we embark on a journey to explore the multifaceted significance of reading during the formative years of a child’s life, focusing on its pivotal role in nurturing holistic development and the enduring impact it leaves on young minds.
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