Samsung Electronics announces the Samsung AI Forum 2025

Samsung Electronics Co., Ltd. today announced the opening of the Samsung AI Forum 2025, which takes place on September 15 and 16. In its ninth edition, the forum has established itself as a global space where renowned scholars and industry experts come together to share the latest advances in AI and explore future research directions.

“A Samsung is applying AI across all our operations to develop foundational technologies that make AI more intuitive and integrated”, said Young Hyun Jun, Vice Chairman and CEO of Samsung Electronics, in his opening speech. “ Samsung AI Forum this year brings together leading experts from industry and academia to discuss how AI is transforming society and business, as well as share insights that we hope will result in a meaningful exchange of ideas”.

This year's forum features lectures from renowned AI scholars, including Yoshua Bengio, a professor at the University of Montreal and a pioneer in deep learning (deep learning); plus Stefano Ermon, a professor at Stanford University and co-founder of startup Inception, who led the development of the diffusion-based language model (diffusion-based language model (dLM).

Day 1: Global academics explore the future of AI in semiconductors

Samsung's Device Solutions (DS) division conducted the first day of the forum with the theme “Avertical AI and Vision Strategies for the Semiconductor Industry”, held near Samsung's semiconductor complex in Yongin, Korea.

Professor Bengio delivered the keynote highlighting the far-reaching risks of current AI models, including the ability to circumvent human control and the potential for misuse.As a security measure, he introduced Scientist AI, a new model designed to help mitigate these concerns.

“Unlike models built to mimic or please humans, Scientist AI focuses on providing true, fact-based answers and verified data”, said Professor Bengio, highlighting the potential of the model to enhance AI safety and accelerate scientific discoveries.

Amit Gupta, Senior Vice President of Siemens EDA, led the session titled “O Future of AI-Powered Electronic Design.During his presentation, he highlighted the importance of integrating AI into Electronic Design Automation tools (electronic design automation & EDA) and noted that end-to-end systems covering the entire workflow will be critical to unlocking the full potential of AI.

The technical sessions featured Yong Ho Song, Executive Vice President and Head of AI Center of the DS division; 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). Each speaker shared recent advances in research on AI applications for semiconductor design and manufacturing, as well as offering perspectives on the evolution of the industry.

“A AI is already an essential tool in chip design and software development”, Song said, “As semiconductor manufacturing becomes more complex, we hope AI will help address the technical challenges that ARISE in”.

The forum also recognized three award winners Samsung AI Researcher of the Year (Samsung AI Researcher of the Year), including 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.

Day 2: Focus on the era of AI Agentiva and increasing productivity

The second day of the forum will be held online by Samsung's Device eXperience (DX) division and broadcast live on samsung Developer Channel on YouTube, with the theme “Da Generative AI to AI Agentiva”¹.

“A Generative AI has already become an essential tool in everyday life and in different” industries, said Paul (Kyungwhoon) Cheun, CTO of Samsung Electronics' DX division and Head of Samsung Research. “As we enter the era of AI Agentiva, Samsung will continue to focus on developing AI technologies that offer concrete benefits to” users.

The second day will feature keynote lectures by Joseph E. Gonzalez, a professor at the University of California, Berkeley (UC Berkeley) and a leading researcher on language models and AI agents; Subbarao Kambhampati, a professor at Arizona State University and a world authority on AI planning and decision-making; and Stefano Ermon, a professor at Stanford University and co-founder of Inception.

Professor Gonzalez will present his research on how to extend the agent capabilities of systems based on large-scale language models (large language models (LLMs). In particular, he will introduce the paradigm of calculation in downtime(sleep-time computation), which allows agents to use idle intervals of interaction to reason, learn and plan.

Professor Kambhampati will share his research on large-scale reasoning models (large reasoning models LRMs), aimed at overcoming the limitations of LLMs. He will highlight that, although current models excel in text generation, they still have limitations in factual accuracy, planning and complex reasoning highlighting central challenges such as ensuring reliability in responses, enabling adaptive computing to the context and offering interpretations of the intermediate steps of reasoning.

Professor Ermon will present the diffusion-based language model (DLM), which applies the widely used diffusion models for image, video and audio generation ¡ ̄ to the language domain.This approach seeks to overcome the limitations of traditional methods of sequential text generation and propose a more efficient paradigm for language models.

In the technical sessions, Samsung Research representatives will present their latest developments, including:

(AI Camera Camera Camera) AI technology for automatic color temperature adjustment
(knowledge distillation)- based methods for more efficient training of LLMs and their applications
(on-device AI) technologies designed to bring LLMs to consumer electronics such as smartphones and TVs
''Automatic dubbing technology, which generates narrations in the original speaker's own voice
(deep dive) technology that uses multi-agent systems to automatically analyze and generate multiple reports
(Document AI) technologies, which automatically convert different document formats into structured data for LLMs and agent systems
^^An on-device AI studio (AI studio on-device) for developers, which shortens the development cycle of generative AI models.