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  1. Generative AI Market Observes Strong Growth Potential, With

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  2. 10 Ways AI Report Generator Transforms Your Business

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  3. Where Generative AI Meets Healthcare: Updating The Healthcare AI Landscape

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  4. [2024 最新版] 什麼是ChatGPT?生成式AI詳盡大解析

    rapid research report on generative ai

  5. Generative AI Market

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  6. A Quick Summary of Research Papers regarding Generative AI

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  1. Research Report Sheds Light on the Economic Impact of AI

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  3. With the rapid growth of generative AI, setting the right regulations is essential. Are we ready? 🌐

  4. AI in DevOps: From Co-Pilots to Future Trends

  5. Maximizing AI for Greater Good

  6. Generative Chemistry: Accelerating scientific discovery

COMMENTS

  1. Rapid Response Information Report: Generative AI

    Rapid Response Information Report: Generative AI. Thursday, 01 June 2023. There is significant public conversation about the role AI should have in Australian society. This report was commissioned by Australia's National Science and Technology Council at the request of the Minister for Industry and Science, the Hon Ed Husic MP in February 2023.

  2. Accelerated research about generative AI from MIT Sloan

    The result is a new open-access collection of 25 research papers that provide road maps, policy recommendations, and calls for action about generative AI from MIT experts. Topics range from using generative AI in education, manufacturing, and drug development to how generative AI will affect inequality and music discovery.

  3. The state of AI in early 2024

    If 2023 was the year the world discovered generative AI (gen AI), 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our ...

  4. PDF Generative AI: Language models and multimodal foundation models

    Rapid Response Information Report Generative AI: Language models and multimodal foundation models 24 March 2023 This report was commissioned by Australia's National Science and Technology Council at the request of the Minister for Industry and Science, the Hon Ed Husic MP in February 2023. The questions asked were:

  5. The state of AI in 2023: Generative AI's breakout year

    Survey respondents working in the technology and financial-services industries are the most likely to expect disruptive change from gen AI. Our previous research shows that, while all industries are indeed likely to see some degree of disruption, the level of impact is likely to vary. 2 "The economic potential of generative AI: The next ...

  6. PDF The 2024 GLOBAL REPORT ON GENERATIVE AI:

    Barriers to AI Adoption. Use Within the WorkplaceWhile interest in AI adoption is significant, organizations encounter various barriers that impede its w. despread implementation. These barriers encompass regulatory challenges, a shortage of essential infrastructure and skilled talent, and concerns about the acc.

  7. What is the future of Generative AI?

    Since the release of ChatGPT in November 2022, it's been all over the headlines, and businesses are racing to capture its value. Within the technology's first few months, McKinsey research found that generative AI (gen AI) features stand to add up to $4.4 trillion to the global economy—annually. The articles and reports we've published ...

  8. State of Generative AI in the Enterprise 2024

    Investment is increasing, but the clock is ticking to scale and create value. The Q3 edition of The State of Generative AI in the Enterprise series, Moving from potential to performance, reveals how organizations are navigating challenges and measuring value. Two critical areas of focus are data foundations and governance, risk, and compliance.

  9. The Rapid Rise of Generative AI

    This CETaS Research Report presents the findings from a major project exploring the implications of generative AI for national security. It is based on extensive engagement with more than 50 experts across government, academia, industry, and civil society, and represents the most comprehensive UK-based study to date on the national security implications of generative AI.

  10. Generative AI: A Review on Models and Applications

    Generative Artificial Intelligence (AI) stands as a transformative paradigm in machine learning, enabling the creation of complex and realistic data from latent representations. This review paper comprehensively surveys the landscape of Generative AI, encompassing its foundational concepts, diverse models, training methodologies, applications, challenges, recent advancements, evaluation ...

  11. Generative Artificial Intelligence: A Systematic Review and Applications

    In this research, we outline the most recent research and advancement in the field of Generative Artificial Intelligence. It details the approach used to navigate and analyze cutting-edge developments, ensuring a comprehensive and insightful review of the current landscape in Generative AI.

  12. Explained: Generative AI

    A generative AI system is one that learns to generate more objects that look like the data it was trained on. "When it comes to the actual machinery underlying generative AI and other types of AI, the distinctions can be a little bit blurry. Oftentimes, the same algorithms can be used for both," says Phillip Isola, an associate professor of ...

  13. Advancements in Generative AI: A Comprehensive Review of GANs, GPT

    field of Generative Artificial Intelligence. While Generative AI has been in effect for the past decade, the introduction of ChatGPT has ignited a new wave of research and innovation in the AI domain. This surge in interest has led to the development and release of numerous cutting-edge tools, such as Bard, Stable Diffusion,

  14. Generative AI: What Is It, Tools, Models, Applications and Use Cases

    Generative AI can learn from existing artifacts to generate new, realistic artifacts (at scale) that reflect the characteristics of the training data but don't repeat it. It can produce a variety of novel content, such as images, video, music, speech, text, software code and product designs. Generative AI uses a number of techniques that ...

  15. Generative AI: A systematic review using topic ...

    Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of applications. In this paper, a thorough examination of the research landscape in GAI is presented, encompassing a comprehensive overview of the prevailing themes and topics within the field. The study analyzes a corpus of 1319 records from Scopus spanning ...

  16. Recent Advances in Generative AI and Large Language Models: Current

    Our paper not only addresses the current state of Generative AI and LLMs in language understanding, machine translation, question answering, text summarization, and code Completion but also makes a significant contribution in addressing some of the critical research gaps of Generative AI and LLMs. By addressing issues of bias and fairness ...

  17. The Rise of Generative AI

    Key takeaways. Generative AI tools reduce the money and time needed for content creation, boosting productivity and profitability. However, they could also lead to copyright infringement and increase data security risks. Overall, J.P. Morgan Research estimates generative AI could increase global GDP by $7-10 trillion, or by as much as 10%.

  18. New research on generative AI and the economy

    Editor's note: Today, we released a report from inaugural Technology & Society Visiting Fellow 1 Andrew McAfee on the potential economic impacts of generative AI. This report is the product of McAfee's original research on AI and the economy, working closely with experts across Google to focus on how the recent surge in generative AI may impact productivity, labor markets, and the skills ...

  19. Generative AI In Financial Services Market Size Report, 2030

    The report estimates that Generative AI could contribute between USD 66 billion and USD 80 billion to the sector's Gross Value Added (GVA) by 2030. This potential economic impact underscores the transformative role of Generative AI in driving innovation and operational improvements within financial institutions.

  20. Laying the foundation for today's generative AI

    Christopher Manning, professor of linguistics and of computer science, co-founder of Stanford's Institute for Human-Centered Artificial Intelligence (HAI), and recipient of the 2024 IEEE John von Neumann Medal, remembers the moment he knew he wanted to study language. "One day in high school English class, I came across one of my teacher's personal books that dealt with linguistics and the ...

  21. Generative AI in innovation and marketing processes: A roadmap of

    Generative AI (henceforth, GenAI) represents the latest evolution in the field of Artificial Intelligence (AI) and is a group of AI models designed to generate new content, spanning text, images, and videos (Huang & Rust, 2023).According to a recent McKinsey report, marketing is projected to be the most affected firm function by GenAI, which is forecast to enhance marketing productivity by up ...

  22. Cornell Report on Generative AI for Education

    The Provost stood up a committee in Spring 2023 to develop guidelines for the use of Generative Artificial Intelligence (GAI) technologies, such as ChatGPT, in teaching at Cornell.The committee's report is now available. Faculty can choose to prohibit, to allow with attribution, or to encourage GAI use. Appendices of the report contextualize GAI in diverse disciplines, including mathematics ...

  23. Using Generative AI in Research: Resources for Students

    This Research Guide provides information on the use of Generative AI in academic papers and research, and provides guidance on the ethical use of Generative AI in an academic setting.

  24. Economic potential of generative AI

    The speed at which generative AI technology is developing isn't making this task any easier. ChatGPT was released in November 2022. Four months later, OpenAI released a new large language model, or LLM, called GPT-4 with markedly improved capabilities. 1 "Introducing ChatGPT," OpenAI, November 30, 2022; "GPT-4 is OpenAI's most advanced system, producing safer and more useful ...

  25. Generative AI's Real-World Impact in Explained

    Hardly any industry is untouched by the Generative AI marketplace today. Incredibly, Gartner's 2023 Hype Cycle accounts GenAI-enabled applications as one of the key technologies on its path to have a significant impact on organizations over the next ten years.By 2026, over 80% of enterprises will have integrated GenAI into their operations, up from less than 5% in 2023.

  26. Generative AI for designing and validating easily ...

    An overview of our generative AI method, SyntheMol, for designing novel antibiotics. First, we curated a training set of ~13,000 molecules and performed growth inhibition assays to determine their ...

  27. Generative AI in higher education: Perspectives of students, educators

    With Generative AI's (GenAI) rapid development and the ability to generate sophisticated human-like text, it has evolved as a powerful technology in various domains. However, its application in the education domain was initially met with resistance due to concerns about disrupting traditional learning and assessment methods, raising questions about academic integrity, and provoking ethical ...

  28. Original Research: Skyword Reveals Key Insights on Generative AI's

    BOSTON, Aug. 28, 2024 /PRNewswire/ -- Skyword, the global leader in enterprise content marketing, today unveils pivotal findings from its recent survey on the role of generative artificial ...

  29. Generative AI in education: user research and technical report

    a detailed technical report describing the process of optimising a generative AI 'proof of concept' tool based on the findings of the hackathon Updates to this page Published 28 August 2024

  30. Visions of Destruction: Exploring a Potential of Generative AI in

    This paper explores the potential of generative AI within interactive art, employing a practice-based research approach. It presents the interactive artwork "Visions of Destruction" as a detailed case study, highlighting its innovative use of generative AI to create a dynamic, audience-responsive experience. This artwork applies gaze-based interaction to dynamically alter digital landscapes ...