Samsung Electronics today hosted the second day of the Samsung AI Forum 2023, which was led by Samsung Research and focused on generative AI. The rapid progress of generative AI technology is a paradigm shift that is expected to reshape both daily life and work. As such, the forum engaged AI experts from the industry and academia to discuss and share the development and the latest technological trends of AI, and introduced Samsung Gauss, the generative AI model developed by Samsung Research.

“We will continue to support and collaborate with the industry and academia on generative AI research.” said Daehyun Kim, Executive Vice President of the Samsung Research Global AI Center, in his welcoming speech.

During the first morning session, Dr. Hyung Won Chung from OpenAI — an AI research and deployment company — explained the operation of large language models (LLMs) during his speech, titled, “Large Language Models (in 2023)” and addressed the challenges they face at each stage, as well as their future trajectory.

Then Jason Wei, a researcher at OpenAI and author of the “Chain-of-Thoughts” paper, discussed how LLMs will drive a paradigm shift in AI through his presentation, “New Paradigms in the Large Language Model Renaissance.”

In addition, Korea University Professor Hongsuck Seo presented some of the trends in multimodal AI technology capable of processing various data types simultaneously — including text and images — during his session, “Towards multimodal conversational AI.”

In the afternoon, graduate students from prominent domestic universities that are active in AI research presented their papers, which have been published in leading international AI journals. They also outlined their future research directions.

The team led by Seoul National University Professor Seung-won Hwang showcased an efficient code generation and search technology using generative AI, while Professor Gunhee Kim’s team demonstrated spatial reasoning technology using multimodal approaches.

Professor Minjoon Seo’s team from the Korea Advanced Institute of Science and Technology (KAIST) introduced fine-grained evaluation capability in language models. Additionally, the team led by Yonsei University Professor Jonghyun Choi presented on text-to-image generation technology capable of creating images by comprehending lengthy contexts across multiple sentences.

In the final session, the participants delved into Samsung Gauss and the On-Device AI technologies using this model. The model consists of Samsung Gauss Language, Samsung Gauss Code and Samsung Gauss Image, and is named after Carl Friedrich Gauss, the legendary mathematician who established normal distribution theory, the backbone of machine learning and AI. Furthermore, the name reflects Samsung’s ultimate vision for the models, which is to draw from all the phenomena and knowledge in the world in order to harness the power of AI to improve the lives of consumers everywhere.

Samsung Gauss Language, a generative language model, enhances work efficiency by facilitating tasks such as composing emails, summarizing documents and translating content. It can also enhance the consumer experience by enabling smarter device control when integrated into products.

Samsung Gauss Code and a coding assistant (code.i) — which operates based on it — are optimized for in-house software development, allowing developers to code easily and quickly. It also supports functions such as code description and test case generation through an interactive interface.

In addition, Samsung Gauss Image is a generative image model that can easily generate and edit creative images, including style changes and additions, while also converting low-resolution images to high-resolution.

Samsung Gauss is currently used on employee productivity but will be expanded to a variety of Samsung product applications to provide new user experience in the near future.

Samsung is not only developing AI technologies, but also moving forward with various activities that ensure safe AI usage. Through the AI Red Team, Samsung continues to strengthen the ability to proactively eliminate and monitor security and privacy issues that may arise in the entire process — ranging from data collection to AI model development, service deployment and AI-generated results — all with the principles of AI ethics in mind.

Samsung Electronics today opened the Samsung AI Forum, at which it shared the latest research achievements in artificial intelligence (AI) and computer engineering (CE), contributing to enhancing the company’s next-generation semiconductor technology.

With over 1,000 attendees — including leading academics, industry experts, researchers and students — day 1 of the seventh iteration of the Samsung AI Forum took place at the Suwon Convention Center in Gyeonggi-do, Korea, under the theme of “large-scale AI for a better tomorrow.” A two-day forum, the first day was hosted by the Samsung Advanced Institute of Technology (SAIT), and day 2 will be hosted on November 8 by Samsung Research at the Samsung R&D campus in Seoul, Korea.

Kye Hyun Kyung, President and CEO of Samsung Electronics’ Device Solutions (DS) Division, said in his opening remarks, “The spotlight has recently shifted toward Generative AI technology, as it provides us the potential to unlock new solutions and address long-standing challenges. But the need for in-depth research on the safety, trustworthiness and sustainability of AI is increasing at the same time.” About the event, Kyung added, “We expect this forum — where top global experts have gathered — will be a platform to discuss ways to create a brighter future through AI and semiconductor technologies.”

Safe Direction for AI Research Suggested; Future of LLM-Based Semiconductors Shared

▲ SAIF 2023 keynote speakers: (from left) Yoshua Bengio, professor at University of Montreal, Kye Hyun Kyung President and CEO of Samsung Electronics, Jim Keller, CEO of Tenstorrent

Yoshua Bengio, expert in deep learning technology and professor at the University of Montreal, shared his latest research in a keynote presentation titled, “Towards a Safe AI Scientist System.” He introduced a safe AI machine learning algorithm that can prevent large language models (LLMs) from developing in directions not intended by developers.

Jim Keller, CEO of AI semiconductor startup Tenstorrent, introduced the open instruction set architecture (ISA) RISC-V during his session titled, “Own Your Silicon,” and emphasized that RISC-V will create new possibilities in next-generation AI through innovation in hardware structure design.

Overall, day 1 of Samsung AI Forum 2023 addressed two key topics: LLMs and the Transformation of AI for Industry, and Large-scale Computing for LLMs and Simulation. The topics covered AI and CE, respectively.

With SAIT serving as the company’s R&D hub and incubator for cutting-edge technologies, SAIT researchers shared their visions on how the future of semiconductor development and manufacturing will change by integrating AI into all areas of semiconductors, and explored the possibilities of future computing in semiconductor processing, including large simulation accelerated by machine learning.

Accolades Presented to Exceptional Researchers and Students

During the forum, Samsung also hosted a ceremony to announce the winners of the Samsung AI Researcher Award and the Samsung AI/CE Challenge. The intent of these accolades is to honor up-and-coming researchers, university students and graduates who are excelling domestically.

Samsung AI Researcher of the Year awards were presented to five AI researchers: Professor Connor Coley at Massachusetts Institute of Technology, Professor Jason Lee at Princeton University, Professor Emma Pierson at Cornell University, Professor Xiang Ren at University of Southern California, Professor Virginia Smith at Carnegie Mellon University.

Among the honorees Professor Lee is focusing on theoretical and applied research including deep learning, reinforcement learning and optimization. In particular, his work was highly praised for its contribution to the development of AI research around the world through the publication of several outstanding papers on optimization.

The honor of winning the Samsung AI/CE Challenge, with submissions from 1,481 students comprising 410 teams, went to 16 teams.

Ph.D. student Keondo Park from the Seoul National University Graduate School of Data Science, a member of the grand-prize winning team, said, “In the course of implementing our AI project directly, we were able to explore deeply about possible problems. The AI/CE challenge was a good opportunity to broaden our horizons on research.”

Furthermore, SAIT presented a poster of leading research papers as well as exhibitions of research projects in AI and CE. It also prepared networking programs for attendees to engage in the vital AI and CE ecosystems.

The official video for Samsung AI Forum 2023 will be available on the Samsung Electronics YouTube Channel (https://www.youtube.com/@Samsung) from November 16th.

Samsung AI Forum 2023, which is being hosted by the Samsung Advanced Institute of Technology (SAIT), will also focus on and highlight the direction of future research, with the presence of world-renowned AI scholars and industry experts. This seventh iteration of the Samsung AI Forum will be an in-person event, held under the theme of “large-scale AI for a better tomorrow.”

Kye Hyun Kyung, President and CEO of Samsung Electronics Device Solutions Division, will begin the forum with opening remarks, followed by keynotes from Yoshua Bengio, professor at the University of Montreal, and Jim Keller, CEO of AI semiconductor startup Tenstorrent.

Professor Satoshi Matsuoka of the Riken Institute of Computer Science in Japan, and Larry Zitnick, a research scientist from the Meta AI Research Lab will also be giving invited talks. In addition to these notable speakers, SAIT’s AI and CE research leaders — as well as leading academics from around the world — will share the status and vision of their research.

Samsung AI Forum 2023 will address two key topics: Large Language Models and Transformation of AI for Industry, and Large-scale Computing for Large Language Model and Simulation, which cover AI and CE, respectively.

During the forum, Samsung will also host a ceremony to announce the winners of the Samsung AI Researcher Award and the Samsung AI/CE Challenge. These accolades are intended to honor up-and-coming researchers, university students and graduates who are excelling domestically.

Furthermore, the forum will seek to vitalize the AI and CE research ecosystem by presenting posters of leading research papers and preparing networking programs for attendees.

“We believe AI- and CE-enhanced next generation semiconductor technology will play a pivotal role in improving the quality of life and SAIT has been working closely with academics and experts to seek Samsung’s new long-term growth drivers. We hope Samsung AI Forum will accelerate the expansion of the AI and CE research ecosystem around the world,” said Gyoyoung Jin, President of SAIT and Co-Chair of the Samsung AI Forum.

Registration will be available from October 12 on the Samsung AI Forum website, which allows attendees to pre-submit questions to the forum’s speakers.