[Music] We are entering a world where we learn to coexist with AI not as its master but as its collaborators as said by one of the greatest minds of our generation Mark Zuckerberg the CEO of Facebook. Hi, today I'm Kashika Jen, a fourth year B Tech student here to present TED talk on future of AI. As you can see, I'm 21 years old.That means I'm old enough to be writing research papers, but still young enough to be to be binge watching Netflix at 3:00 a. m. at night.Let's start with what really is AI. AI is ...

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]

Core Insights - The wealth management industry is undergoing a significant transformation driven by the rise of artificial intelligence (AI) and increasingly complex investor behavior [1][2][4] Group 1: Impact of AI on Wealth Management - AI will play a crucial role in enhancing advisor-client relationships by taking over tedious tasks such as tax planning, legal matters, and portfolio management, allowing advisors to focus more on client interactions [2][4] - The use of AI tools can help advisors and portfolio managers gain insights into market dynamics, including trending topics and sentiment analysis, which is essential for understanding market events [3][4] Group 2: Importance of Narrative Intelligence - Narrative intelligence is becoming a key differentiator, helping advisors interpret market sentiment and guide clients through emotional decision-making [4][7] - By leveraging sentiment analysis and natural language processing, advisors can help clients understand market events, reducing the likelihood of panic selling or irrational investment decisions [5][6] Group 3: Ensuring Trust in AI Tools - Trust in AI tools depends on transparency and multi-layered validation, with companies needing to adopt best practices to ensure the reliability and relevance of insights [4][6] - Practical measures include ensuring AI tools can trace information sources and employing prompt engineering to improve the quality of outputs from AI systems [6][7]

Core Insights - CorVel Corporation announced the winners of the 2025 Theo Awards, recognizing Sharp HealthCare, the State of North Carolina, and The Save Mart Companies for their achievements in workers' compensation [1][6] - The awards highlight organizations that have innovatively transformed workplace safety, claims management, and employee care, leading to reduced costs and new industry standards [2] Group 1: Sharp HealthCare - Sharp HealthCare was recognized for its biopsychosocial transdisciplinary model, which effectively addresses complex claims related to traumatic brain injuries, chronic pain, PTSD, and substance abuse [3] - The model focuses on early identification of psychosocial risk factors, resulting in accelerated recovery timelines and reduced prescription drug dependency [3] Group 2: State of North Carolina - The State of North Carolina demonstrated exceptional crisis management following Hurricane Helene, ensuring access to medical care and wage replacement for injured workers in the disaster area [4] - The partnership with CorVel involved expanding provider search efforts and coordinating care during significant infrastructure damage and communication outages [4] Group 3: The Save Mart Companies - The Save Mart Companies implemented a comprehensive workers' compensation strategy focusing on prevention, early intervention, efficient claim resolution, and collaborative execution [5] - This strategy has led to fewer claims, faster settlements, and reduced overall program costs while enhancing workplace safety [5] Group 4: CorVel Corporation - CorVel applies advanced technology, including AI and machine learning, to improve the management of care episodes and related healthcare costs [7] - The company partners with various stakeholders, including employers and government agencies, to manage workers' compensation and health services [7]

Core Insights - Renowned AI scientist Chen Danqi has updated her GitHub email to a domain associated with Thinking Machines Lab, a startup co-founded by former OpenAI executives, indicating her potential involvement with the company [2][4] - Thinking Machines Lab, established only five months ago, has raised $2 billion in the largest seed funding round in history, achieving a post-money valuation of $12 billion [6] - The company boasts a strong team, including several former key members from OpenAI, enhancing its credibility and potential in the AI sector [6] Group 1: Company Overview - Thinking Machines Lab is a newly established AI startup that has quickly gained significant financial backing and a high valuation [6] - The company is led by a team of experienced professionals from OpenAI, which may provide a competitive advantage in the AI landscape [6] Group 2: Chen Danqi's Background - Chen Danqi has an impressive academic background, having graduated from Tsinghua University and Stanford University, where she earned her PhD in computer science [6][14] - She has received multiple awards for her research in natural language processing (NLP), including two outstanding paper awards at the ACL conference [10][12] - Her influential work includes significant contributions to the understanding of machine reading comprehension and the development of neural network models for NLP tasks [14][19] Group 3: Industry Trends - There is a growing trend of AI scholars transitioning to industry roles, driven by the substantial resources and funding available in the private sector [28] - This shift may allow researchers to better realize their innovative ideas and contribute to advancements in AI technology [28]

Core Viewpoint - The article speculates that Chen Danqi has joined Thinking Machines Lab, a company founded by former OpenAI CTO Mira Murati, which focuses on advanced multimodal AI model and technology development [1][10]. Group 1: Evidence of Transition - Chen Danqi's GitHub email has changed to thinkingmachines.ai, suggesting a possible affiliation with Thinking Machines Lab [2][4]. - The email format used by Thinking Machines Lab employees aligns with Chen Danqi's new email, further supporting the speculation [4]. - The Chief Scientist of Thinking Machines Lab, John Schulman, also uses an email ending with thinkingmachines.ai, indicating a consistent naming convention within the company [5]. Group 2: Professional Background - Chen Danqi is currently an associate professor at Princeton University, leading the NLP research group and serving as the deputy director of the Princeton Language and Intelligence Research Program [16]. - She has a significant academic impact, with a total citation count of 75,149, and her paper on RoBERTa has been cited 36,574 times [16][19]. - Chen Danqi graduated from Tsinghua University in 2012 and obtained her PhD from Stanford University in 2018, where she was advised by Christopher Manning [18]. Group 3: Recognition and Awards - Chen Danqi has received multiple prestigious awards in the NLP field, including the ACL 2022 Outstanding Paper Award and the 2016 ACL Outstanding Paper Award [19]. - She has also been supported by research grants from leading companies and institutions, such as the Amazon Research Award and the Google Research Scholar Award [19].