{"id":227575,"date":"2025-09-15T01:52:15","date_gmt":"2025-09-15T01:52:15","guid":{"rendered":"https:\/\/www.europesays.com\/us\/227575\/"},"modified":"2025-09-15T01:52:15","modified_gmt":"2025-09-15T01:52:15","slug":"samsung-electronics-opens-samsung-ai-forum-2025-samsung-global-newsroom","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/us\/227575\/","title":{"rendered":"Samsung Electronics Opens Samsung AI Forum 2025 \u2013 Samsung Global Newsroom"},"content":{"rendered":"

Presentations by leading global AI scholars and Samsung\u2019s latest

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Samsung Electronics today announced the opening of Samsung AI Forum 2025, taking place from Sept. 15-16. Now in its ninth year, the forum serves as a global venue where leading scholars and industry experts gather to share the latest breakthroughs in AI and explore future research directions.<\/p>\n

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\u201cSamsung is applying AI across our operations to develop foundational technologies that make AI more intuitive and seamless,\u201d said Young Hyun Jun, Vice Chairman and CEO of Samsung Electronics, in his opening remarks. \u201cThis year\u2019s Samsung AI Forum brings together leading experts from industry and academia to discuss how AI is transforming society and industry, and to share insights in what we expect will be a meaningful exchange of ideas.\u201d<\/p>\n

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This year\u2019s forum features keynote lectures from world-renowned AI scholars; including Yoshua Bengio, Professor at the University of Montreal and a pioneer in deep learning; as well as Stefano Ermon, Professor at Stanford University and Co-founder of the startup Inception, who spearheaded the development of diffusion-based language model (DLM).<\/p>\n

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Day One: Global Scholars Explore the AI Semiconductor Future<\/strong><\/p>\n

Samsung\u2019s Device Solutions (DS) Division hosted the first day of the forum under the theme \u201cVertical AI Strategies and Vision for the Semiconductor Industry,\u201d near Samsung\u2019s semiconductor site in Yongin, Korea.<\/p>\n

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Professor Bengio delivered a keynote address outlining the far-reaching risks of today\u2019s AI models, including their ability to bypass human control and the potential for misuse. As a safeguard, he introduced Scientist AI, a new model designed to help mitigate such concerns.<\/p>\n

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\u201cUnlike models built to mimic or please humans, Scientist AI focuses on providing truthful answers grounded in verified facts and data,\u201d said Professor Bengio, highlighting the model\u2019s potential to enhance AI safety and accelerate scientific discovery. He also shared his latest research findings on AI for materials development in the keynote.<\/p>\n

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Amit Gupta, Senior Vice President of Siemens EDA, led a session titled, \u201cThe Future of AI-Driven Electronic Design.\u201d During his presentation, he emphasized the importance of integrating AI into electronic design automation (EDA) tools and noted that end-to-end systems spanning the entire workflow will be key to unlocking AI\u2019s full potential.<\/p>\n

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Technical sessions featuring Yong Ho Song, Executive Vice President and Head of the DS Division\u2019s AI Center, Professor Seokhyung Kang of Pohang University of Science and Technology (POSTECH) and Professor Il-Chul Moon of Korea Advanced Institute of Science and Technology (KAIST) followed. Each speaker shared recent research developments in AI applications for semiconductor design and manufacturing, while also offering perspectives on how the field is evolving.<\/p>\n

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\u201cAI is already an essential tool in chip design and software development,\u201d said EVP Song. \u201cAs semiconductor manufacturing grows more complex, we expect AI to help address the technical challenges that arise.\u201d<\/p>\n

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The forum also recognized three winners of the Samsung AI Researcher of the Year award: Professor Nicolas Papernot of the University of Toronto, Professor Rose Yu of the University of California San Diego and Professor Lerrel Pinto of New York University. All the award recipients were invited to present their work and share insights from their latest research.<\/p>\n

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Day Two: Focusing on the Era of Agentic AI and Boosting Productivity<\/strong><\/p>\n

Day two of the forum will be held online by Samsung\u2019s Device eXperience (DX) Division and streamed live on Samsung Developer\u2019s YouTube channel<\/a> under the theme \u201cGenerative to Agentic AI.\u201d1<\/p>\n

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\u201cGenerative AI has already become an essential tool across daily life and industries,\u201d said Paul (Kyungwhoon) Cheun, CTO of the DX Division at Samsung Electronics and Head of Samsung Research. \u201cAs we enter the era of Agentic AI, Samsung will continue to focus on developing AI technologies that provide users with tangible benefits.\u201d<\/p>\n

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The second day includes keynote speeches from Joseph E. Gonzalez, Professor at UC Berkeley and a leading researcher in language models and AI agents; Subbarao Kambhampati, Professor at Arizona State University and a world authority in AI planning and decision-making; and Stefano Ermon, Professor at Stanford University and Co-founder of Inception.<\/p>\n

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Professor Gonzalez will present his research on enhancing the agentic capabilities of large language model (LLM)-based systems. In particular, he will introduce the sleep-time compute paradigm, which enables agents to use idle interaction intervals to reason, learn and plan.<\/p>\n

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Professor Kambhampati will share his research on large reasoning models (LRMs) aimed at addressing the limitations of LLMs. He will point out that while current models excel at text generation, they remain limited in factual accuracy, planning and complex reasoning \u2014 highlighting key challenges such as ensuring answer guarantees, enabling context-adaptive computation, and providing interpretations of intermediate reasoning steps.<\/p>\n

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Professor Ermon will introduce diffusion language model, which applies diffusion models \u2014 widely used for image, video, and audio generation \u2014 into the language domain. This approach aims to overcome the limitations of traditional sequential text generation methods and propose a more efficient paradigm for language models.<\/p>\n

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In the technical sessions, Samsung Research representatives will present their latest developments, including:<\/p>\n

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