Generative UI in search is the ability for the model to create what the user needs in the format that is best for the users need at that time. It's generative, it's dynamic, it's on the fly, it's created in the moment. Based on what you asked for, it means that people don't have to hold back with their questions.They can ask more natural language, more complex questions. So the first thing that the model will do is it will take in your intent and it will analyze it. It will cross reference a number of diffe ...

Chad GPT is quickly becoming the de facto internet. More and more of the functionality from apps that you know and love is ending up in Chad GPT natively. Just a few months ago at OpenAI's dev day, they launched apps for Chad GPT.That means native feeling applications directly in Chad GPT. And best of all, you can prompt them with natural language. And now one of the biggest names in professional applications is offering their biggest products directly in Chad GPT.and that is Adobe, Photoshop, Express, and ...

机器之心报道 编辑：Panda 国际计算语言学学会（ACL）正式公布了 2025 年度的会士（ ACL Fellows ） 名单。 作为自然语言处理（NLP）领域最具影响力的国际学术组织，ACL 自 2011 年设立会士制度，旨在表彰那些在该领域取得卓越技术成就或为社区做出突出贡献的会 员。ACL Fellow 是该学会授予会员的最高荣誉之一，每一位入选者都代表了 NLP 研究的顶尖水平，其评选过程以严苛著称，历年入选者均为推动语言智能发展的 关键人物。 在今年的评选中，共有 11 位学者 脱颖而出。值得关注的是，本次名单中有 2 位华人学者入选：来自伊利诺伊大学厄巴纳-香槟分校（UIUC）的 季姮（Heng Ji） 教授以及来自西湖大学的 张岳（Yue Zhang） 教授。 下面是各位新入选会士的具体入选理由和个人简介。 季姮（Heng Ji） 机构：伊利诺伊大学厄巴纳-香槟分校 个人页面：https://blender.cs.illinois.edu/hengji.html 入选理由：因其在信息抽取、多模态和多语言知识抽取以及「AI for Science」（科学智能）方面所作出的重要贡献。 季姮是伊利诺 ...

Core Insights - CorVel Corporation's Executive Vice President Sarah Scott has been recognized in Business Insurance's "Women to Watch" list for 2025, celebrating her leadership and innovation in the insurance and risk management sectors [1][4]. Company Overview - CorVel Corporation has a 26-year history with Sarah Scott, who has significantly contributed to the company's product innovation, clinical integration, and digital transformation initiatives [2]. - The company utilizes technology such as artificial intelligence, machine learning, and natural language processing to manage healthcare costs and improve care episodes [5]. Leadership and Innovation - Sarah Scott's background as a registered nurse has informed her approach to enhancing patient outcomes and operational efficiency through a data-driven strategy [3]. - She is currently leading efforts to integrate generative AI into CorVel's product offerings, aiming to improve decision-making processes and outcomes for injured workers [3]. Team and Market Position - Scott's leadership style emphasizes value addition and performance, inspiring her teams to innovate and execute effectively, thereby strengthening CorVel's market position [4]. - The recognition of Scott is seen as a reflection of the collaborative efforts of her team in advancing the industry through technology that maintains the human connection in recovery [4].

AI Fundamentals & Applications - AI is an umbrella term encompassing machine learning algorithms, including supervised learning for prediction and unsupervised learning for data classification [2][3] - Deep reinforcement learning combines cognitive ability and reinforcement learning, enabling AI agents to learn complex behaviors through trial and error to maximize rewards [4] - Generative AI, such as chatbots and LLMs, utilizes transformers with billions of tokens to understand and differentiate between sentences by assigning attention to specific words [9][10] - Natural Language Processing (NLP) is used to teach machines to understand human language, including tonality and emotions, by building lexicons that associate words with feelings [11][12] Future Trends & Challenges - Quantum computing will enhance AI capabilities by replacing bits with qubits, increasing speed and accuracy in solving complex mathematical equations [14][15] - AI systems can inherit stereotypes, biases, and racisms from the data they are trained on, reflecting real-world biases present in historical data [16] Societal Impact & Ethical Considerations - The focus should be on coexisting and collaborating with AI, utilizing it as a tool to build a new world and solve global issues [1][18][19] - The younger generation has a responsibility to ensure that the future of AI is ethical, responsible, and fair to everyone [16] - The key question is not whether AI will take over, but how humans want to grow up with AI, daring to dream bigger with this powerful tool [20]

Core Insights - Yoshua Bengio is recognized as the most cited computer scientist globally, with a total citation count of 987,920, and has seen a significant increase in citations since winning the Turing Award in 2018 [5][6][29] - Geoffrey Hinton, another prominent figure in AI, is approaching 1 million citations, currently at 972,944, and is expected to become the second individual to surpass this milestone [2][5] - The rise in citations for these AI pioneers reflects the explosive growth of AI research and its integration into various fields, particularly since the introduction of deep learning techniques [14][17][26] Group 1 - Yoshua Bengio's citation metrics include an h-index of 251 and a 110-index of 977, indicating his significant impact in the field of machine learning and deep learning [1][5] - The citation growth for Bengio and Hinton aligns with the overall increase in AI-related publications, which have tripled from 2010 to 2022, highlighting the growing importance of AI in computer science [26][14] - The deep learning community is dominated by a few key figures, with Bengio, Hinton, and Yann LeCun being recognized as the "three giants" of deep learning, all of whom received the Turing Award in 2018 [3][29] Group 2 - The AI research landscape has seen a dramatic increase in the number of papers published, with AI papers constituting 41.8% of all computer science papers by 2023, up from 21.6% in 2013 [26][14] - The introduction of the Transformer model in 2017 and subsequent advancements in generative AI have further accelerated the citation rates of foundational papers in the field [21][23] - The citation counts of leading researchers like Ilya Sutskever and Kaiming He also reflect the growing influence of deep learning, with Sutskever exceeding 700,000 citations and He surpassing 750,000 [34][31]

Core Insights - CorVel Corporation will host a live webcast on November 4, 2025, at 11:30 AM Eastern Time to discuss its upcoming quarterly earnings results and introduce its new Chief Financial Officer, Brian Nichols [1][2]. Financial Performance and Strategic Initiatives - The webcast will include discussions on CorVel's financial performance, strategic initiatives, and future outlook, led by President and CEO Michael Combs and CFO Brian Nichols [2]. Webcast Details - Investors, analysts, and interested parties are encouraged to join the webcast for insights into CorVel's performance, with a dedicated question-and-answer session available for attendees [3][6].

Core Insights - Quad/Graphics Inc. is enhancing its Audience Builder platform with natural language prompting capabilities powered by Snowflake's Cortex AI, allowing for faster and more efficient audience segmentation [1][2][3] Company Overview - Quad is a marketing experience company that integrates creative, production, and media solutions across online and offline channels, aiming to simplify marketing complexities for its clients [4] - The company employs approximately 11,000 people across 11 countries and serves around 2,100 clients, including major blue-chip companies in various industries [5][6] Technology and Innovation - The new natural language feature enables users to create sophisticated audience segments using simple conversational commands, eliminating the need for technical expertise [2][3] - Quad's Audience Builder utilizes a data stack that covers 92% of U.S. households and nearly 97% of the adult U.S. population, providing stable and resilient data sources for audience insights [3] Marketing Solutions - Quad's Audience Builder helps advertisers identify and engage with consumers more effectively, enhancing personalization and engagement across multiple marketing channels [3][4] - The platform allows for the creation of audience profiles that improve marketing mix measurement and incrementality, streamlining the audience targeting process [3]

Market Overview - The global data analytics market was valued at USD 74.26 Billion in 2024 and is projected to reach USD 482.61 Billion by 2033, with a CAGR of 23.12% from 2025 to 2033 [3][4] - North America currently holds a significant market share of over 37.6% in 2024 [3] Industry Trends - Organizations are increasingly investing in analytics solutions to improve efficiency, reduce costs, and maintain competitiveness, with small and medium-sized businesses also adopting these tools [4] - Self-service analytics platforms are empowering non-technical users to analyze data easily, driven by advancements in AI, machine learning, and natural language processing [5] - The demand for real-time analytics is rising in sectors such as e-commerce, healthcare, and logistics, as quick decision-making enhances customer satisfaction and operational efficiency [6] Regulatory and Compliance Factors - Stricter data privacy regulations are pushing firms to invest in secure analytics platforms to ensure compliance [6] Innovation and Digitalization - Digitalization is fueling the data analytics market, as organizations need to transform raw data into actionable strategies [6] Key Players - Major market players include Alteryx Inc., Amazon Web Services Inc., Dell Technologies Inc., IBM, Looker Data Sciences Inc. (Google LLC), Microsoft Corporation, Mu Sigma Inc., and Oracle Corporation [8]

Investment Overview - Nvidia Corporation has committed £2 billion to enhance the UK's AI ecosystem, aiming to foster innovation and development across various sectors [1][2] - This investment is expected to invigorate AI-driven companies, fintech enterprises, and emerging startups in the UK [1][2] Strategic Focus - The investment underscores Nvidia's strategic focus on advancing AI technologies and reinforces the UK's position as a global tech hub [2][9] - Nvidia's pledge reflects confidence in the UK's potential to lead in AI and related fields [2] Beneficiaries - Notable beneficiaries include UK-based companies like Revolut, a leading fintech platform, and Nscale, specializing in scalable AI infrastructure [3][5] - Nvidia's support aims to bolster both established companies and innovative startups within the UK's tech landscape [3][6] Impact on Revolut - Revolut is positioned to leverage Nvidia's investment to enhance user experiences and streamline operations [4] - The integration of Nvidia's AI tools could improve Revolut's algorithms for fraud detection and personalized financial services, strengthening its competitive edge [4] Importance of Nscale - Nscale's inclusion in Nvidia's investment portfolio highlights the growing significance of scalable AI infrastructure [5] - Nvidia's support could enable Nscale to expand its capabilities, facilitating AI adoption across various sectors [6] Broader Ecosystem Support - Nvidia's £2 billion commitment extends to a wider ecosystem of UK startups and AI-focused enterprises, nurturing early-stage companies [6] - This investment is expected to spur advancements in machine learning, natural language processing, and autonomous systems [7] Economic Implications - The funding is anticipated to create high-skill jobs, attract global talent, and stimulate further investment in the UK's tech sector [8] - Nvidia's commitment could catalyze a cycle of innovation, drawing additional private and public investment for sustained growth [8] Global Positioning - This investment strengthens the UK's appeal as a destination for tech investment amid intensifying global competition for AI leadership [9] - Nvidia's strategy includes fostering AI ecosystems worldwide and building strategic alliances to enhance its global impact [9] Long-term Vision - For the UK, this investment represents a pivotal moment in its journey to become a global AI enabler, with significant implications for its economy and tech ecosystem [10]