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The article evaluates six cutting-edge Artificial Intelligence (AI) research tools using the REACT framework, assessing their relevancy, ease of use, Diversity, Equity, Inclusion, and Accessibility (DEIA) commitment, currency, and transparency. It provides detailed reviews of citation-based literature mapping tools (Litmaps, Connected Papers, ResearchRabbit) and text-extraction tools (Elicit, scite, Consensus), offering insights into their effectiveness and usability for academic research.

The article offers information on the intersection of AI, research, and its impact on scientific literature. Topics include concerns about the ethical implications of AI-generated content, fraudulent research papers created by paper mills, and the increasing retractions of scientific literature. The author reflects on the potential consequences of the rise in spurious publications on research impact metrics and raises concerns about research integrity.

The article discusses the integration of artificial intelligence (AI) into publishing and database systems, focusing on Digital Science's approach. Digital Science has incorporated AI into its platforms, employing natural language processing to identify research themes like the UN's Sustainable Development Goals, enhancing user search experiences with AI-driven tools, and developing AI-powered summarization and answering systems .

The article focuses on the impact of artificial intelligence (AI) technologies in the library domain. It explores the capabilities of AI language models like ChatGPT and their potential benefits and challenges for libraries. It further highlights how AI technologies, such as language models and image generators, has gained attention in the field of education and has sparked both enthusiasm and concerns.

The article explores Clarivate's Institute for Scientific Information (ISI) proposed a new Collaborative CNCI (Collab-CNCI) indicator to analyze the credit authors of academic papers receive via citations. In its report, "Making It Count: Research Credit Management in a Collaborative World," ISI confirms that highly collaborative papers can distort summary results at a national and institutional level.

The article focuses on Elsevier's integration of artificial intelligence (AI) into Scopus, enhancing research navigation and analysis. Topics include the introduction of Scopus AI, which simplifies searches with natural language queries; provides topic summaries with references; and offers advanced features like concept mapping and expert identification to aid researchers in exploring and understanding complex subjects efficiently.

The article focuses on the disruptive influence of emerging technologies in search, particularly Artificial Intelligence (AI)-driven advancements such as copilots, assistants, and conversational tools. Topics discussed include the integration of AI in major web search engines like Google and Bing, the rise of AI-powered search engines like You.com, and the impact of AI on academic research with platforms like Consensus and Elicit providing research assistance.

The article offers information on integrating AI generative technology into education to enhance productivity, focusing on AI literacy for K–12 students. Topics include the background on AI, the potential and pitfalls of generative AI like ChatGPT, and introducing AI concepts to students. AI, evolving since the 1950s, has become integral in daily life, and generative AI has the transformative potential to revolutionize education.

The article explore the usage and potential of ChatGPT plugins and data analysis. It discusses the evolution of ChatGPT, from its early limitations in generating inaccurate information to its improvements through the introduction of plugins. It explains that plugins provide ChatGPT with the ability to access real-time information, enhance its functionality, and reduce the generation of inaccurate data.

The article reports that research reproducibility, getting consistent results with the same set of data, code, and method described in the original research paper, is central to trustworthy scientific research. It reports that to address the growing need of research reproducibility, scholarly publishers have implemented features to access data, code, and experiments in their scholarly publication platforms.

The article focuses on the evolving role of librarians in supporting scholars' research endeavors, encompassing areas such as research data services, scholarly communication, and the integration of Artificial intelligence (AI) into library systems. It discusses how AI tools are being utilized to enhance various aspects of research, from peer review and manuscript editing to automated literature reviews and personalized recommendations.

The article reflects on the profound impact of AI on various aspects of education and information access. It discusses how AI will shift the focus in higher education towards skill-building, emphasizing the need for students to develop practical skills in addition to knowledge acquisition. The article also highlights the challenges of navigating the vast amount of information available and the role of librarians and instructors in guiding students through the research process.

The article focuses on the impact of artificial intelligence (AI) and its applications in various fields. It discusses AI as a rapidly evolving technology that has the potential to perform tasks commonly associated with humans. It further explores different AI technologies such as machine learning, computer vision, and natural language processing.

The author shares insight on predatory publishing, its impact on business schools and business scholarship, and damage to professional reputations including for librarians. She considers the threat posed by predatory publishing when used with generative artificial intelligence (AI) tools. She cautions about the possibility of misinformation, flawed research and the diminishing quality of scholarly research.

The article provides information on the Research Horizon Navigator, an artificial intelligence (AI) module within InCites Benchmarking & Analytics, from Clarivate.

This article examines the role of artificial intelligence (AI) in the streaming media industry. It focuses on how AI is being used in video pre-processing, encoding, and the development of AI-based codecs. The article discusses various companies and products that are utilizing AI to enhance video quality, reduce bandwidth requirements, and improve compression efficiency. It also explores the potential of AI in creating new codecs and the challenges associated with implementing these technologies. Additionally, the article highlights other areas where AI is making an impact in streaming media, such as super resolution, adaptive bitrate streaming optimization, quality assessment, captioning and accessibility, content analysis, user experience, analytics, programmatic advertising, and ad tech. The article concludes by addressing considerations for evaluating the implementation of AI in streaming media, including cost, latency, ethical concerns, and operational risks. Overall, AI is viewed as a valuable tool for enhancing the viewer experience and improving the efficiency and effectiveness of streaming media services. [Extracted from the article]

The article explores the transformative role of Artificial Intelligence (AI) generative models, like ChatGPT, in academic environments and the critical role of librarians in managing this shift. Topics discussed include integrating AI tools into digital competencies frameworks, addressing ethical and pedagogical challenges posed by AI, and the need for librarians to teach and promote the responsible use of AI within academic institutions.

The article offers information on the pervasive influence of AI in various domains, with a focus on its impact on libraries, legal areas, and general applications. Topics include recent developments in AI regulation, G7 principles on AI, and President Joe Biden's executive order on trustworthy AI. The article explores the challenges and opportunities presented by AI, particularly generative AI (GenAI), in libraries and information services.

The article discusses about transformative impact of AI technology on information access, particularly in libraries and other information fields, highlighting innovations like customer service chatbots and text-to-speech algorithms. Topic include While AI tools promise increased accessibility and efficiency, there are concerns about potential unintended consequences, prompting a careful consideration of their deployment.

The article focuses on the limitations of large language models (LLMs) and their tendency to produce misleading information. Topics include the distinction between BS and hallucinations in Artificial intelligence (AI) outputs, the nature of LLMs' "hallucinations" as algorithmically generated responses without an understanding of truth, and the importance of recognizing the inherent differences between AI and human-like BS-ing.

The article discusses the impact of ChatGPT, an AI-powered language model, on various sectors, including libraries and education. It highlights concerns among librarians and educators about the potential misuse and misinformation generated by ChatGPT. The article also mentions developments related to ChatGPT, such as its availability on Android devices and the introduction of plugins to enhance its capabilities.

The article discusses various methods and technologies for long-term storage and retrieval of information, ranging from ancient Babylonian clay tablets to modern advancements like M-Discs and ceramic tape cartridges. It explores the use of 5D glass storage, such as the Superman memory crystals, for storing data for billions of years.

The article delves into the transformative influence of AI on libraries, drawing a parallel with the cautionary myth of Pandora's box. It explores AI's multifaceted impact on libraries, encompassing misinformation challenges, cybersecurity threats, privacy dilemmas, and literacy opportunities. Framed as an allegorical journey, the narrative underscores the responsibility to actively shape AI's role in fortifying library security, maintaining integrity, and upholding principles of privacy.

The article focuses on Generative AI tools like ChatGPT, Bard, and Bing chatbots have gained immense popularity as powerful content-creation tools, enabling users to generate various forms of content such as text, images, videos, and music. However, these tools have also raised concerns due to their potential to produce inaccurate or fictional information, impacting areas like education and research integrity.

The article explores how technology advancements, specifically generative AI and omnichannel experiences, are helping sales teams succeed in a challenging economy. With businesses cutting costs and expecting higher revenue, sales teams need to be more efficient and productive. Generative AI automates tasks, streamlines the sales process, and personalizes content creation. It also aids in data analysis, forecasting, and customer segmentation. However, implementing AI requires upfront effort and must be combined with human interactions. Breaking down departmental barriers and providing a seamless customer experience across multiple channels are also crucial. The article highlights how sales teams are utilizing generative AI, overcoming barriers, and expanding customer engagement channels to balance conflicting demands in their workflows. These changes are essential for companies to survive in tough economic times and thrive in the future. The article also includes contact information for various customer service, sales, and marketing companies. [Extracted from the article]

The article explains the intricacies of scholarly publications in a digital world. It provides an overview of the evolution of information landscape and stresses the need to teach students about the nature and authorial voices of the information landscape. It outlines principles for information clarity, as well as signs of changes to academic literature presentation including preprints, predatory or inferior journal publication, and artificial intelligence (AI)-generated academic literature.

The article discusses the challenges faced by governance programs in responding to the rapid emergence of new AI technologies, such as Generative AI and Large Language Models (LLMs). It highlights the need for organizations to anticipate and plan for disruptions caused by these technologies, allocate resources for emergent projects, and establish a structured intake process to triage urgent issues. The article also emphasizes the importance of confronting uncertainty through methods like scenario planning, pre-mortems, and red teaming. It concludes by advocating for the reuse and repurposing of existing governance practices to adapt to evolving technologies and corporate priorities. [Extracted from the article]

The article discusses the challenges and priorities in data and analytics management for businesses, emphasizing the importance of balancing data safety, driving business value, and shaping a data-centric organizational culture. Topics include the growth of data in the cloud, the emergence of Artificial Intelligence and robotics in business, and the significance of data governance and security in the face of cyber threats.

The article offers information about the Web3, the vision for a new decentralized internet, could impact libraries. It discusses the three hypothetical scenarios for how libraries could utilize Web3 technologies, including using Non-fungible token for library cards and a blockchain developed for libraries to facilitate community asset sharing.

The article discusses the utilization of SWOT analyses in business and research. It covers the importance of SWOT matrices, their applications in various contexts like strategic planning and investment decisions, and the distinction between internal strengths/weaknesses and external opportunities/threats.

The article offers information on the Chat-GPT & Information Integrity virtual meeting by the Copyright Clearance Center (CCC) via LinkedIn. It further discusses that speakers to share their experiences with ChatGPT and other artificial intelligence (AI) tools; the key to moving forward with AI is accountability plus transparency; and also mentions about the concerns and questions about this rapidly changing technology.

The article focuses on the impact of generative artificial intelligence (AI), specifically ChatGPT and other large language models (LLMs), on the search technology landscape. It discusses the advancements made by OpenAI with the release of ChatGPT 4. It further highlights the potential implications of generative AI for various professions, such as writers, journalists, educators, artists, students, lawyers, and more.

The article focuses on the readiness of generative Artificial intelligence (AI) for various applications, emphasizing the distinction between traditional AI and generative AI and the potential advantages and challenges posed by the latter. It discusses the capabilities of generative AI in content creation and highlights the importance of caution when utilizing large language models (LLMs) to avoid misinformation and risks related to proprietary data.

The article focuses on identifying trend-setting products for 2023 that pioneer new approaches to knowledge management (KM), covering various cutting-edge technologies and platforms, such as generative Artificial intelligence (AI), natural language processing, machine learning, and more. It emphasizes the importance of digital transformation in the hybrid workforce era, highlighting the role of cloud-powered applications, advanced enterprise search capabilities.

The article discusses the use of alternative grammar checking tools which are artificial intelligence enabled for improving communication skills. Topics include the Hemingway app (hemingwayapp.com) that offers data on readability, flagging complex language and hard-to-read sentences; and colors indicate different types of errors.

The article focuses on the increasing use of generative artificial intelligence (AI) tools like ChatGPT among students and professionals, highlighting their popularity and the challenges in detecting AI-generated content. Topics include the rise of AI tools in educational settings, difficulties in distinguishing AI-written work from human-authored texts, and the ongoing debates about the implications for academic integrity and detection methods.

The article focuses on the growing interest in Artificial intelligence (AI), particularly generative AI like ChatGPT, and its increasing importance across various business sectors. It discusses the potential applications of AI technologies in knowledge sharing, highlights the growth of the global AI market, and emphasizes the significance of AI within organizations, spanning marketing, customer service, legal, finance, and more.

The article explores During the pandemic, students and scholars spent more time online than they perhaps ever wanted to. Beyond synchronous and asynchronous courses delivered within universities' learning management systems (LMS), students had additional opportunities to view educational videos, possibly on YouTube or PBS Online.

The article delves into the perplexities of Perplexity, a conversational search engine, navigating its evolution amidst the AI chatbot landscape. Topics include Perplexity's foundation, its products Perplexity Ask and Perplexity Pro with distinct features, and a comparison of various AI chatbots including GPT-4, Google's Search Generative Experience, and Perplexity, suggesting a shift away from traditional search engine models towards consolidated web content solutions.

The article offers information on the challenges of managing and accessing vast amounts of information, highlighting the need for efficient records management strategies. Topics include the exponential growth of information, the importance of metadata indexing for rapid information retrieval, and the benefits of leveraging AI for document management.

The article focuses on Truth and Trust Online Conference Highlights Human-Computer Collaboration to Fight Misinformation. Topics discussed include the company's mission is to improve civic discourse by identifying and disarming "damaging and misleading" information; and the dilemma of contemporary fact-checking is that AI is fast and scalable, but it makes too many misjudgments.

The article offers information on the growing impact of AI on society, particularly in the fields of information access, education, and journalism. It discusses how generative AI is being used to assist in academic writing and how it's raising concerns in the entertainment industry, potentially impacting journalism and various professions that involve text creation.

The article explores While virtual assistants have yet to become a fixture on the reference desk, machine learning and other AI applications are becoming more prevalent across industries. Recommendation systems are seamlessly integrated into nearly all of the platforms we use to access content online.

The article presents a discussion between the author and Charlie Rapple, co-founder and director of Kudos. Topics discussed include a brief overview of the Kudos Knowledge Cooperatives; How this project was started, and how it has grown over the years, and a brief insight into the partnership between Kudos and the Impact Science, which actually was the driving force behind the knowledge co-operative model.

The article focuses on the pivotal role of knowledge management in successful artificial intelligence (AI) implementations. Topics discussed include challenges like data fragmentation, quality issues, and cultural barriers, along with strategies such as data integration, knowledge graphs, and fostering a knowledge-centric culture to optimize AI-driven decision-making.

The article focuses on the contrasting dynamics between generative artificial intelligence (GenAI) and extractive AI, noting GenAI's impressive growth and capabilities alongside its limitations in accuracy and propensity for plagiarism. Topics discussed include the challenges of hallucinations, and the potential of extractive AI in providing transparent and structured responses with traceable sources, thereby addressing issues of reliability and accountability in AI-generated content.