“Samsung is applying AI across our operations to develop foundational technologies that make AI more intuitive and seamless,” said Young Hyun Jun, Vice Chairman and CEO of Samsung Electronics, in his opening remarks. “This year’s 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.”

This year’s 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).

Day One: Global Scholars Explore the AI Semiconductor Future

Samsung’s Device Solutions (DS) Division hosted the first day of the forum under the theme “Vertical AI Strategies and Vision for the Semiconductor Industry,” near Samsung’s semiconductor site in Yongin, Korea.

Professor Bengio delivered a keynote address outlining the far-reaching risks of today’s 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.

“Unlike models built to mimic or please humans, Scientist AI focuses on providing truthful answers grounded in verified facts and data,” said Professor Bengio, highlighting the model’s potential to enhance AI safety and accelerate scientific discovery. He also shared his latest research findings on AI for materials development in the keynote.

Amit Gupta, Senior Vice President of Siemens EDA, led a session titled, “The Future of AI-Driven Electronic Design.” 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’s full potential.

Technical sessions featuring Yong Ho Song, Executive Vice President and Head of the DS Division’s 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.

“AI is already an essential tool in chip design and software development,” said EVP Song. “As semiconductor manufacturing grows more complex, we expect AI to help address the technical challenges that arise.”

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.

Day Two: Focusing on the Era of Agentic AI and Boosting Productivity

Day two of the forum will be held online by Samsung’s Device eXperience (DX) Division and streamed live on Samsung Developer’s YouTube channel under the theme “Generative to Agentic AI.”¹

“Generative AI has already become an essential tool across daily life and industries,” said Paul (Kyungwhoon) Cheun, CTO of the DX Division at Samsung Electronics and Head of Samsung Research. “As we enter the era of Agentic AI, Samsung will continue to focus on developing AI technologies that provide users with tangible benefits.”

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.

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.

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 — highlighting key challenges such as ensuring answer guarantees, enabling context-adaptive computation, and providing interpretations of intermediate reasoning steps.

Professor Ermon will introduce diffusion language model, which applies diffusion models — widely used for image, video, and audio generation — 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.

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

• 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 that generates voiceovers in the original speaker’s voice
• Deep dive technology that uses multi-agent systems to analyze and automatically generate various reports
• Document AI technologies that automatically convert diverse document formats into structure data for LLMs and agent systems
• An on-device AI studio for developers that shortens the development cycle of generative AI models

¹ Intelligent systems capable of making autonomous decisions and carrying out tasks on their own.

With increasing popularity in research studies about future AI technology, there is an even higher expectation that AI will bring more value to our daily lives. On November 8 and 9, Samsung Electronics hosted the Samsung AI Forum 2022 to share the progress of AI research and explore more ways for the industry to advance. World-renowned scholars and experts who attended this year’s forum focused on hyperscale AI, an AI model that can evolve to the human level of thinking by processing massive amounts of data.

Samsung Newsroom met with Vice President Joohyung Lee at Samsung Research’s¹ Global AI Center to hear more about the main topics discussed during the second day of the forum, which Samsung Research hosted. Learn more about upcoming technology trends and the future vision of AI research introduced by Samsung Research in the infographic below.

​¹ Samsung Research, acting as Samsung Electronics’ advanced R&D hub, leads the development of future technologies for the company’s Device eXperience (DX) Division.

Now in its sixth year, Samsung AI Forum will be held from November 8 to 9 (KST). This is the first time in three years that the event will be held in person. With over 1,200 attendees expected to join, this global forum provides a packed program hosted by Samsung Advanced Institute of Technology (SAIT)¹ on November 8 and Samsung Research² on November 9.

The event will also be livestreamed on Samsung Electronics’ YouTube channel.

Day One: Shaping the Future with AI and Semiconductors

Under the theme of “Shaping the Future with AI and Semiconductor,” AI experts gathered to discuss the future direction of AI research that will create new milestones in AI-based semiconductor and material innovation.

The day started with opening remarks by Jong-Hee (JH) Han, Vice Chairman, CEO and Head of Device eXperience (DX) Division at Samsung Electronics. “I expect that AI technology will provide better convenience and new experiences for all while it also lays the foundation for other key innovations to various fields and applications, including next-generation semiconductors,” said Han.

Professor Yoshua Bengio of the University of Montreal, Canada, shared his latest research in a keynote presentation, “Why We Need Amortized, Causal and Bayesian World Models.” He emphasized the use of amortized inference and the Bayesian approach in causal models for AI that explores theories and design experiments in the field of science and general AI.

Afterward, technology sessions, such as “AI for R&D Innovation,” “Recent Advances of AI Algorithms” and “Large Scale Computing for AI and HPC” were delivered.

In the “AI for R&D Innovation” session, research leaders at SAIT, including the Executive Vice President and Head of SAIT’s AI Research Center, Changkyu Choi, shared the status and vision of Samsung’s research on AI. Specifically, they discussed how AI technology will be influential in fields including semiconductors and material development.

In a session named “Recent Advances of AI Algorithms,” Minjoon Seo, a professor at KAIST, and Hyunoh Song, a professor at Seoul National University, delivered presentations on the latest research achievements on AI algorithms, including large language model-based interface for ultra-accurate semantic search.

Lastly, in a session called “Large Scale Computing for AI and HPC,” leading researchers on supercomputers, including the former IBM and Intel Fellow, Alan Gara, discussed the role of AI in the future of high-performance computing. They also introduced an insightful case on processing-in-memory, an innovative technology that is enabled by the development of next-generation supercomputers.

Samsung AI Researcher of the Year awards, which were established to discover excelling rising researchers in the field of AI, were also presented during the forum. Samsung AI Researcher of the Year was awarded to five AI researchers, including Professor Mohit Iyyer at the University of Massachusetts Amherst.

In addition, various programs, including poster presentations of excellent research papers, an introduction of SAIT, an exhibition of its research projects and networking event for researchers and students in the field of AI, were held to accelerate active research in AI.

Day Two: Scaling AI for the Real World

Under the theme of “Scaling AI for the Real World,” Day 2 of the forum hosted by Samsung Research will be a venue for sharing the development direction of future AI technologies that will significantly affect our lives, including hyperscale AI, digital human, robotics, etc., that have become hot topics.

Sebastian Seung, President and Head of Samsung Research, will give a keynote on the “first steps of an effort to improve upon classical brain theories by optimizing biologically plausible unsupervised learning algorithms” together with a welcoming remark.

Following a presentation on the “Current Status of AI Research by Samsung Research” given by Daniel D. Lee, Executive Vice President and Head of Global AI Center at Samsung Research, AI experts, including the heads of global research centers who have recently conducted active research will be invited to the stage as speakers.

Professor Terrence Sejnowski at the University of California San Diego, U.S., who found NeurIPS, the world’s most prestigious AI conference, will discuss the intelligence of hyperscale language models based on experimental cases testing whether hyperscale language models have intelligence.

This will be followed by an introduction of the next-generation AI research direction for ensuring the responsible and fair use of hyperscale AI in the products and services of businesses presented by Dr. Johannes Gehrke, Head of Microsoft Research Lab.

Next, Professor Dieter Fox at the University of Washington, U.S., who is also the Senior Director of Robotics Research at NVIDIA, will explain how a robot can directly operate unlearned objects only based on visual data without creating 3D models. He will also discuss how to use natural language commands to effectively instruct a robot to carry out various operations.

Lastly, Seungwon Hwang, a professor at Seoul National University, will discuss ways to use causality, evidentiality, and other forms of knowledge to further strengthen hyperscale language models.

There will be two live panel discussions moderated by EVP Daniel Lee, one in the morning and the other in the afternoon, in which panelists will discuss various topics. There will also be Lightning Talk sessions in which researchers at the Global AI Center will give presentations on the details of their current research.

In the Lightning Talks session, Vice President Joohyung Lee at Global AI Center will discuss ways to use hyperscale AI models to combine the external appearance of a digital human with internal intelligence. SangHa Kim will also explain a machine translation technology that allows users to use various Samsung products with no language barrier.

In addition, participants will have opportunities to look at several demos and research posters produced by Global AI Center at the booth, where they can personally interact with the researchers.

Furthermore, on the forum’s website, speakers and participants can freely communicate in Korean and English on the Q&A Bulletin Board, where Samsung Research’s translation service “SR Translate” is applied.

¹ Samsung’s R&D hub dedicated to cutting-edge future technologies.
² Samsung Research, acting as Samsung Electronics’ advanced R&D hub, leads the development of future technologies for the company’s Device eXperience (DX) Division.

The Samsung AI Forum, now in its sixth year, is a place for exchanging technological advances with world-renowned AI scholars and experts, sharing the latest AI research achievements and exploring future research direction.

This year’s forum will be held in-person for the first time in three years and will also be live-streamed on Samsung Electronics’ YouTube channel.

Those who are interested in the event can register to participate in the forum from October 18 to the day of the event on the Samsung AI Forum website. Registered participants will be able to receive a detailed program agenda and submit questions online.

Day One: Shaping the Future With AI and Semiconductor

Day one will be hosted by Samsung Advanced Institute of Technology (SAIT) under the theme “Shaping the Future with AI and Semiconductor.” Participants will discuss the current status and research direction on AI that will lead the future of innovations in other fields including semiconductors and materials.

Jong-Hee (JH) Han, Vice Chairman, CEO and Head of Device eXperience (DX) Division at Samsung Electronics, will start the forum by giving the opening remarks, followed by a keynote speech from Professor Yoshua Bengio of the University of Montreal, Canada. Afterward, technology sessions, such as “AI for R&D Innovation,” “Recent Advances of AI Algorithms” and “Large Scale Computing for AI and HPC” will be held.

During each technology session, renowned AI experts and the AI research leaders at SAIT will be on stage to share their findings. Minjoon Seo, Professor at KAIST, and Hyunoh Song, Professor at the Seoul National University, will introduce the latest research achievements on AI algorithms, and the former IBM and Intel Fellow Alan Gara, who is one of the leading researchers on supercomputers, will make a presentation on the evolution of computing and the future of AI. AI research leaders at SAIT including Changkyu Choi, Executive Vice President and Head of SAIT’s AI Research Center, will share the status and vision of Samsung’s research on AI.

“This year’s AI forum will be prepared to be a place to discuss the direction of AI research to create a better future by applying AI technology to various fields, especially semiconductor, in the future.” said Gyo-Young Jin, President and the Head of SAIT as well as Co-chair of the Samsung AI Forum.

The Samsung AI Researcher of the Year awards, which were established to discover excelling rising researchers in the field of AI, will also be presented during the forum. In addition, various programs, including poster presentations of excellent research papers, introduction of the SAIT, exhibition of its research projects and networking event for researchers and students in the field of AI will be held to accelerate active research in AI.

Day Two: Scaling AI for the Real World

Day two of the forum will be hosted by Samsung Research under the theme “Scaling AI for the Real World.” Participants will share the direction of future AI technological advancement that will have an important impact on our lives, such as hyperscale AI, digital human and robotics technology, which are the latest trending topics.

Sebastian Seung, President and Head of Samsung Research, will start with a welcoming remark and a keynote speech on “Evolutionary approach to brain-inspired learning algorithms.”

Daniel Lee, Executive Vice President and Head of Samsung Research’s Global AI Center, will give a presentation on current status of Samsung Research’s AI research, which will be followed by invited talks by AI experts, including the heads of Global Research Institutes.

Terrence Sejnowski, Professor at the University of California — San Diego and founder of NeurIPS (The Conference and Workshop on Neural Information Processing Systems), one of the most prestigious international conferences on AI, will speak on whether large language models have intelligent, and Dr. Johannes Gehrke, Head of Microsoft Research Lab, will explain the core technology of hyperscale AI and research directions of Microsoft’s next-generation AI.

Afterwards, Dieter Fox, Senior Director of Robotics Research at NVIDIA, will give a presentation on robot technology that controls objects without an explicit model and Seungwon Hwang, Professor at the Seoul National University, will share knowledge on robust natural language processing technology.

Furthermore, Daniel Lee will moderate the panel discussion on the latest AI trends and the future outlook with fellow speakers. There will also be times allotted for presentation and demonstration of the latest research status by the researchers at Samsung Research’s AI Research Center.

“This year’s Samsung AI Forum will be a place for participants to better understand various AI researches currently underway in terms of ‘Scaling AI for the Real World’ to increase the value of our lives,” said Dr. Sebastian Seung, President and Head of Samsung Research. “We hope many people, who are interested in the field of AI, will participate in this year’s forum, which will be held both online and in person.”

Speakers representing various fields introduced newly developed AI algorithms, as well as innovative AI solutions that can benefit our lives in the future. Samsung Electronics livestreamed this year’s forum on its YouTube channel and offered participants – which included engineers, researchers and students in the field of AI – the opportunity to interact with experts during a Q&A session.

Read on for Samsung Newsroom’s recap of the presentations and key topics that took center stage during the two-day event.

Samsung AI Forum Day One

Developing AI That Addresses Common Problems

Hosted by the Samsung Advanced Institute of Technology (SAIT), Samsung’s R&D hub dedicated to cutting-edge future technologies, day one of the Samsung AI Forum began with opening remarks from Dr. Kinam Kim, Vice Chairman and CEO of Samsung Electronics. “Digital transformation has been accelerated in every industry, to which data science and machine learning are essential,” said Dr. Kim. “We at Samsung are open to discussing how to tackle important, common problems with researchers from all over the world, and we hope that the Samsung AI Forum can help facilitate that goal.”

This was followed by a keynote speech from Professor Yoshua Bengio of the University of Montreal, the co-chair of the Samsung AI Forum and a Samsung AI Professor. During his speech, Professor Bengio introduced a new machine learning tool called GFlowNets.

After explaining how the algorithms could be applied to the development of new drugs, he emphasized how “We find that [the model] converges to good solutions faster than other methods, and in addition, it finds a more diverse set of solutions. So this is very encouraging, and we are very excited about the potential applications in discovery in general.” After finishing his speech, the professor discussed ways to apply the algorithms during a Q&A session that featured scientists from around the world.

The keynote was followed by three technology sessions entitled “Scalable & Sustainable AI Computing”, “AI for Scientific Discovery” and “Trustworthy Computer Vision”. During these sessions, leading academics and startups spoke alongside some of Samsung’s top researchers.

Professors Kunle Olukotun of Stanford University, Gerbrand Ceder of the University of California – Berkeley and Antonio Torralba of the Massachusetts Institute of Technology shared key findings in their respective areas of AI research. Founders of startups based in Silicon Valley, including Andrew Feldman, CEO of Cerebras Systems, Bryce Meredig, CSO of Citrine Informatics and Daniel Bibireata, Vice President of Landing AI, presented insights on business models for various areas of AI research, as well as future business strategies. Representing Samsung were multiple leading researchers, including Changkyu Choi, Senior Vice President and Head of SAIT’s AI & SW Research Center, who introduced the company’s vision for AI and summarized the progress it has made through its research in the field.

The event also showcased rising talents and researchers in the field of AI. Samsung revealed this year’s five winners of the Samsung AI Researcher of the Year award, which was launched last year to recognize promising global AI researchers.

“I’m especially thankful to my students, whose work is really what’s being rewarded here,” said Professor Phillip Isola of the Massachusetts Institute of Technology, who received the award. “We’re trying to make progress to make AI systems that are closer to [reaching] human-like [and] animal-like abilities,” he added, describing natural intelligence.

“My research lies at the intersection of computer vision and machine learning, and my overall goal is to create vision systems that are reliable and accessible for everyone,” added Professor Judy Hoffman of the Georgia Institute of Technology.

For the Coexistence of Humans and AI

Day one of the forum closed with a panel discussion in which academics engaged in lively conversations and shared their insights. The panel’s moderator, Youngsang Choi, Vice President of SAIT, introduced topics related to each panelist’s area of expertise. After the discussion, participants were given free rein to ask the panelists questions.

One participant asked the panelists if they believed that it would be possible for AI algorithms to achieve human-level data efficiency in training, to which Professor Antonio Torralba said yes.

“When we think about the data that humans have, it’s not just visual data. They really sense the world through a lot of different mechanisms,” Professor Torralba explained. “Also, humans actually are not passive observers of the world. They are actually interacting with the world and performing all kinds of experiments. I think, in order to achieve [a human-like] level of efficiency, we need to incorporate all of these things and make them really like the main characters of the movie that AI is playing now.”

The panel discussion also offered an opportunity for students majoring in AI-related fields to share their concerns with the experts and receive advice. In the field of AI natural language processing (NLP), for example, the number of parameters is continuously increasing, which means that the costs required to train a model are too. Considering these circumstances, participants discussed which way academic research should be heading.

Professor Bengio concluded the panel discussion by offering some insightful advice to young AI researchers and students. “Don’t be afraid to go in directions that are very different from what has been established as state of the art,” said the professor. “Brain power is the thing that’s really behind innovation and [the] amazing progress that science brings us. So don’t be afraid to try things [and] don’t be afraid to question what has been apparently established for years or decades. That’s how we are all going to make progress.”

Samsung AI Forum Day Two

The Latest AI Research, All in One Place

Day two of the forum was hosted by Samsung Research, Samsung Electronics’ advanced R&D hub, which leads the development of future technologies for its Consumer Electronics and IT & Mobile Communications divisions. Dr. Sebastian Seung, President and Head of Samsung Research, emphasized that “AI is a technology that makes people’s lives better,” and offered an overview of the various AI-related projects that Samsung Research was engaged in, including those related to smartphone cameras, on-device AI, Open Source AI System Software, Machine Translation, and AI technologies for robots. “I’m really looking forward to today’s lectures by leading researchers in AI,” said Dr. Seung, heightening viewers’ expectations.

The day began with a keynote from Professor Leslie Valiant of Harvard University, who offered details on how to augment supervised learning with reasoning. “To make AI work, it takes several components,” Professor Valiant explained. “The first component is identifying which phenomenon or functionality you want to realize.”

Next came lectures delivered by academics who have been actively leading AI research. These include Professor Felix Heide of Princeton University, Research Scientist Been Kim of Google Brain and Professor Max Welling, a research chair in machine learning at the University of Amsterdam and a Distinguished Scientist at Microsoft Research.

AI’s Evolution Into a Tool for Gaining Insights

Day two’s panel discussion saw experts share their opinions on how AI technology will impact people’s lives in the future. The panel’s moderator, Dr. Daniel D. Lee, Executive Vice President and Head of Samsung Research’s Global AI Center, kicked off the discussion with a question.

“The first time AI came into presence, there was a lot of emphasis at that time on logical reasoning,” Dr. Lee explained. “But now, data-driven approaches such as deep neural networks are rising. And what we just heard from Leslie’s talk was [about] how we can actually use the logic [now] in combination with these more advanced neural network techniques. What would be the big advantage of doing that kind of return, in some sense, to logic with neural networks?”

“The idea that both learning and logic are important has been understood for a long time, [albeit separately],” Professor Valiant explained. “We are in a good position because I think the position of learning is now very much advanced. So, we have reason to be confident that there’s a lot of competence that we have as far as learning, and it’s a good basis on which to build logic.”

Researcher Efi Tsamoura of the Samsung AI Center in Cambridge added that “An increasing number of applications for many different areas, from computer vision to natural language processing, are taking advantage of background knowledge in order to build more robust and simpler models. Why is that? It’s because logic provides us with the ability to [complement] missing labels and to use the missing labels in order to train the model.” Tsamoura also pointed out that “An increasing number of researchers from different fields, mostly applied fields, are realizing the potential of logic.”

The discussion also touched on scientific discoveries that have been made with machine learning. “I think it’s worth noting that with the advent of 5G and with 6G coming down the pipe, communication networks have gone from being extremely complicated to super-extremely complicated… and I think the opportunities to optimize and manage the systems to make them even more efficient are vast. So I think there is a great chance to bring machine learning and AI tools to bear on the structure and operation of these communication networks to make them more efficient,” said Gregory Dudek, Head of the Samsung AI Center in Montreal. “We’ve had some very nice success in Montreal in adapting the tools that exist to these relatively new problems for that domain, and [have] actually significantly moved the needle to increase the performance of these systems.”

In order to commercialize machine learning for use in various areas, continuous simulations must be conducted. How then can the gap between simulation results and real-world phenomena be narrowed? Professor Welling shared his thoughts: “[Since simulations do not actually reflect all the complexities of the world,] I think probably the solution is some hybrid solution where you would simulate as much as you can, but you also identify where your system is uncertain about its predictions. And at that point, sort of in an active sense, you are then going to acquire data for that particular problem. So, active sensing might be an interesting solution.”

At the Lightning Talks session, employees from Samsung Research’s Global AI Centers presented some of their latest research including Adaptive Sharpness-Aware Minimization(ASAM), which is a deep learning optimizer developed by Samsung Research, and Named Entity Correction for Automatic Speech Recognition (ASR).

The thoughts and findings that were shared at the Samsung AI Forum indicate that a world in which AI is merged seamlessly with our daily lives may not be that far off. Full replays of both days of the Samsung AI Forum 2021, through which viewers can learn more about the current status of AI technology, its applications, and what the future may hold, can be viewed on the event’s official website and on Samsung Electronics’ YouTube channel.

The second day of the event, hosted by Samsung Research, the advanced R&D hub of the company that leads the development of future technologies for Samsung Electronics’ Consumer Electronics division and IT & Mobile Communications division, facilitated discussion around how industry experts and academics alike can further research into AI technologies that directly impact and enhance the lives of all people. It was livestreamed on Samsung Electronics’ YouTube channel, providing opportunities for researchers and students in the AI field around the world to interact with world-renowned academics through Live Panel Discussions.

AI Forum Day 2: Exploring ‘AI’ in a Human World

Dr. Sebastian Seung, President and Head of Samsung Research, began his opening speech by emphasizing that “Artificial intelligence is revolutionizing every single R&D area of Samsung Research. AI technology was thought impossible, but is now becoming a reality and makes people’s lives better.”

During his speech, which introduced Samsung Research’s various areas of AI research, Dr. Seung explained how on-device AI technology is enabling smartphone cameras to offer users new ways to express their creativity and manage other devices such as TVs and air conditioners. He also provided insights into other applications for AI technology, which includes enabling robot vacuums to automatically create indoor 3D maps, detect obstacles and clean a space accordingly.

Dr. Seung concluded his speech by describing his excitement to see what Samsung’s researchers would be presenting and inviting participants to follow Samsung Research’s Twitter account to learn more about the innovative research that the R&D hub is conducting.

Seung’s speech was followed by presentations from world-renowned AI experts who are leading research in their respective fields.

First, Professor Leslie Valiant of Harvard University, the recipient of the 2010 Turing Award – often referred to as the Nobel Prize of computing – delivered the day’s keynote lecture, entitled “How to Augment Supervised Learning with Reasoning”. Using robust logic as an example, Professor Valiant emphasized that combining supervised learning and reasoning should be a key focus for the next generation of machine learning technology.

Professor Valiant’s keynote was followed by a presentation from Professor Felix Heide of Princeton University. Professor Heide’s presentation, entitled “The Differentiable Camera”, discussed the camera technology that utilizes deep learning to enhance image quality.

Next, research scientist Been Kim of Google Brain delivered a presentation entitled “Interpretability for Skeptical Minds”, in which she shared the latest advancements in interpretable machine learning and proposed directions that this cutting-edge technology should be heading.

The last session of the day was led by Professor Max Welling, a research chair in machine learning at the University of Amsterdam and a Distinguished Scientist at Microsoft Research. During his presentation, entitled “Understanding Matter With Deep Learning”, Professor Welling shared why he is so excited about the scientific breakthroughs that will come from utilizing deep learning in molecular simulation.

Other highlights of Day 2 included a Lightning Talks session, which saw engineers from Samsung Research’s Global AI Center present some of their latest research, and a live panel discussion that was moderated by Dr. Daniel Lee, Executive Vice President and Head of Samsung Research Global AI Center.

In case you missed it, you can watch a full replay of day two of the Samsung AI Forum 2021 by heading to Samsung Electronics’ YouTube channel.

Now in its fifth year, Samsung AI Forum serves as a platform that gathers leading experts to exchange the latest technology trends and research findings. The two-day event held on 1 and 2 November (KST) enabled participants to discuss applications of AI that will make a practical contribution to people’s daily lives. In this year’s AI Forum livestreamed on Samsung Electronics’ YouTube channel, there were opportunities for researchers and students in the AI field around the world to interact with world-renowned academics and experts through Q&A sessions.

Day 1 of Samsung AI Forum was hosted by Samsung Advanced Institute of Technology (SAIT), Samsung’s R&D hub dedicated to cutting-edge future technologies, under the theme, “AI Research for Tomorrow”.

Day 1 started with opening remarks from Dr. Kinam Kim, Vice Chairman & CEO of Device Solutions at Samsung Electronics, who spoke about the wide-reaching capability of AI to address pressing global issues.

“The advancement of AI is going beyond the electronics industry and expanding to various fields, such as basic science. We expect AI to provide solutions to social issues such as climate change and environmental pollution in the future, but there are still many challenges to tackle to make this possible,” said Dr. Kim.

He also shared his optimism that Samsung AI Forum will be a key venue for experts across the industry to start conversations and collaborate on AI as a means to help humanity on various fronts.

Shining a Spotlight on AI Leaders

Also on Day 1 of Samsung AI Forum, the company announced this year’s winners of the ‘Samsung AI Researcher of the Year’ awards. The awards were launched last year to discover rising AI researchers globally. The awards were presented by Dr. Gyoyoung Jin, President and Head of SAIT, who served as the co-chair for Samsung AI Forum.

This year’s awards went to Professor Diyi Yang (Georgia Tech), Professor Jacob Andreas (MIT), Professor Judy Hoffman (Georgia Tech), Professor Phillip Isola (MIT) and Professor Yarin Gal (Oxford).

“It’s an honor for me to receive the award presented by Samsung to young researchers in the AI field,” said Professor Phillip Isola of MIT. “I’ll put more effort to further develop the current AI system to realize AI that is close to natural intelligence,” he said. Professor Isola is one of the most prominent researchers in computer vision.

Expert Highlights: Keynote Speeches

The keynote on the first day of Samsung AI Forum was given by Professor Yoshua Bengio of University of Montreal, who also served as a co-chair of Samsung AI Forum and is a Samsung AI Professor. In his keynote, entitled GFlowNets for Scientific Discovery, Professor Bengio introduced AI algorithms used within scientific fields such as physics, chemistry and biology. He presented a new algorithm called GFlowNets, which is used to increase the prediction accuracy of experiment and test data.

The keynote lecture was followed by three technology sessions entitled Scalable & Sustainable AI Computing, AI for Scientific Discovery and Trustworthy Computer Vision. In these sessions, leading academics and startups spoke alongside some of Samsung’s top researchers.

Professor Kunle Olukotun of Stanford University in the U.S., who is the co-founder of a promising AI startup called SambaNova Systems, shared his insights on ultra-low power AI computing through an effective data flow architecture in his lecture, Accelerating AI with Dataflow Computing.

Professor Gerbrand Ceder of University of California – Berkeley, who is the founding director of the U.S. federal government-led Material Genome Initiative, which began ten years ago, gave his lecture on AI/Machine Learning in Material Research and the Laboratory of the Future. Professor Antonio Torralba of MIT in Massachusetts, U.S., gave his lecture, Learning to See.

From Samsung, multiple leading researchers, including Changkyu Choi, Senior Vice President and Head of SAIT’s AI & SW Research Center presented the progress and vision regarding Samsung’s research in the AI field. The speakers introduced various AI learning model developments and their applications, and suggested the memory-powered computing architecture, including engineering ultra-low power AI computing for processing AI models and big data.

In addition, founders of startups based in Silicon Valley, including Cerebras Systems shared their insights on business models for different AI research areas and future business strategies.

‘Samsung AI Forum 2021′ can be viewed again on Samsung Electronics’ YouTube channel, and Day 2 AI forum will be held on 2 November.

Stay tuned to Samsung Newsroom for more information on the Samsung AI Forum 2021.

To offer viewers a glimpse of the exciting topics that will be discussed at SAIF 2021, Samsung has released a pair of teaser videos previewing the two-day event’s distinguished speakers and sessions.

Those who are interested can register to participate through the Samsung AI Forum’s website up until the day of the event. Those who do so will be able to access SAIF’s schedule and submit questions for the experts before the event kicks off. In the meantime, check out the videos below for a preview of what SAIF 2021 has in store, and stay tuned to Samsung Newsroom for more updates.

Day 1: AI Research for Tomorrow

On Day 1, which will be hosted by Samsung Advanced Institute of Technology (SAIT), Samsung’s R&D hub dedicated to cutting-edge future technologies, Dr. Kinam Kim, Vice Chairman & CEO of Device Solutions at Samsung Electronics, will deliver the opening remarks. Under the theme, “AI Research for Tomorrow”, renowned AI experts will discuss various AI technologies and the research direction on AI — from fundamental research to its applications – including how AI research will impact other fields such as new material development and semiconductors.

This year, Professor Yoshua Bengio, the winner of the 2018 Turing Award — often referred to as the Nobel Prize in computing — will deliver the keynote. The keynote speech will be followed by three technology sessions: Scalable and Sustainable AI Computing, AI for Scientific Discovery and Trustworthy Computer Vision.

In particular, in this year’s forum, various AI startups will provide an overview of the current trends in cutting-edge AI technology and share their actual business application models. In addition, the AI research leaders at SAIT will participate in the forum as speakers and give presentations on the current status and vision of Samsung’s AI research.

The Samsung AI Researcher of the Year awards,¹ which were established last year in an effort to discover excelling rising researchers in the field of AI, will also be presented during the forum. Last year, five researchers including Professor Kyunghyun Cho of New York University were awarded.

As the co-chairs of this year’s forum, Dr. Gyoyoung Jin, President and Head of SAIT and Professor Bengio, who was appointed as the Samsung AI Professor last year, will continue to cooperate to highlight outstanding rising researchers and expand the base of AI research.

“This year’s forum will be organized as a venue for sharing the current status of AI technology research and AI applications as well as discussing ways to transform AI into a technology that substantially contributes to our daily lives,” said Professor Bengio.

Day 2: AI in a Human World

Day 2 sessions will be hosted by Samsung Research, the company’s advanced R&D hub that leads the development of future technologies for its Consumer Electronics division and IT & Mobile Communications division. Under the theme “AI in a Human World”, Dr. Sebastian Seung, President and Head of Samsung Research, will deliver the opening remarks, and AI experts who have been actively engaging in AI research activities worldwide will share their insights on the current status of AI and future research directions that will have an important impact on our lives.

The keynote will be delivered by Professor Leslie Valiant, the 2010 Turing Award winner, of Harvard University on the subject of integrating machine learning and inference for next-generation AI. This will be followed by technology sessions: Interpretability for Skeptical Minds and Understanding Matter With Deep Learning.

Dr. Daniel Lee, Executive Vice President and Head of Samsung Research Global AI Center, will preside over an in-depth panel discussion with the speakers regarding the ‘future prospects and considerations of each AI sector’.

Lightning talks (5-minute speeches, 7 sessions) will also take place this year where members of the Samsung Research Global AI Center and 5 AI centers (Cambridge, U.K.; New York, U.S.; Toronto, Canada; Montreal, Canada; and Moscow, Russia) will take part.

“This year’s AI Forum will help us better understand where the current AI technology developments are heading and also about AI applicable products which are becoming smarter,” said Dr. Sebastian Seung, President and Head of Samsung Research. “I expect that many people who are interested in AI will participate in the forum since it will be held as an online event this year.”

The event will be open to anyone who is interested in AI. Registration is available through the Samsung AI Forum 2021 Website from October 6 to the respective event dates.

Day 1 Session Speakers

“Scalable and Sustainable AI Computing” session by:

– Professor Kunle Olukotun, Stanford University

– Andrew Feldman, CEO of Cerebras Systems

– Changkyu Choi, Corporate Senior Vice President of Samsung Advanced Institute of Technology (SAIT)

“AI for Scientific Discovery” session by:

– Professor Gerbrand Ceder, University of California, Berkeley

– Bryce Meredig, CSO of Citrine Informatics

– Young Sang Choi, Corporate Vice President of SAIT

“Trustworthy Computer Vision” session by:

– Professor Antonio Torralba, Massachusetts Institute of Technology

– Daniel Bibireata, Vice President of LandingAI

– Jae-Joon Han, Vice President of Technology of SAIT

Day 2 Session Speakers

“Interpretability for Skeptical Minds” session by:

– Been Kim, Research Scientist at Google Brain

“Understanding Matter With Deep Learning” session by:

– Professor Max Welling, Amsterdam University and Lab Head of Microsoft Research Amsterdam

¹ Samsung AI Researcher of the Year: selected among AI researchers of aged 35 or under (up to five researchers per year)

This November 2 and 3, experts, researchers and interested viewers alike convened virtually to share the latest developments in AI research and discussed some of the most pressing and relevant issues facing AI research today.

Making the Best Use of AI in a Rapidly Changing World

AI technologies have developed remarkably in recent years, thanks in no small part to the hard work and diverse research projects being done by academic and corporate researchers alike all around the world. But given the rapid and significant changes brought on by the recent global pandemic, attention has recently been turning to how AI can be used to help solve real-life problems, and what methods might be most effective in order to create such solutions.

The first day of the forum, organized by the Samsung Advanced Institute of Technology (SAIT), was opened with a keynote speech by Dr. Kinam Kim, Vice Chairman and CEO of Device Solutions at Samsung Electronics, who acknowledged the importance of the discussions set to take place at this year’s AI Forum around the past, present and future of the role of AI. Dr. Kim also affirmed Samsung Electronics’ dedication to working with global researchers in order to develop products and services with meaningful real-world impact.

The first day of the Forum then continued with a series of fascinating invited talks given by several global leading academics and professionals. Professor Yoshua Bengio of University of Montreal, Professor Yann LeCun of New York University and Professor Chelsea Finn of Stanford University were the first three to present, following which the Samsung AI Researcher of the Year awards were presented. After this ceremony, SAIT Fellow Professor Donhee Ham of Harvard University, Dr. Tara Sainath of Google Research and Dr. Jennifer Wortman Vaughan of Microsoft Research gave their talks.

Taking AI to the Next Phases of its Development

The first day’s invited talks were followed by a virtual live panel discussion, moderated by Young Sang Choi, Vice President of Samsung Electronics, and attended by Professor Bengio, Professor LeCun, Professor Finn, Dr. Sainath, Dr. Wortman Vaughan and Dr. Inyup Kang, President of Samsung Electronics’ System LSI business. “It is my great pleasure to join this Forum,” noted Dr. Kang. “I feel as if I am standing on the shoulders of giants.”

Questions were given to the panel that invited the experts to discuss the ways in which computational bottlenecks can be overcome in order to take AI systems to the next level and be developed to possess the same intelligibility as the human brain. The panelists weighed the benefits of scaling neural nets as opposed to searching for new algorithms, with Dr. Kang noting that, “We have to try both. Given the scale of human synapses, I doubt that we can achieve the human level of intelligibility using just current technologies. Eventually we will get there, but we definitely need new algorithms, too.”

Professor LeCun noted how AI research is not just constrained by current scaling methods. “We are missing some major pieces to being able to reach human-level intelligence, or even just animal-level intelligence,” he said, adding that perhaps, in the near future, we might be able to develop machines that can at least reach the scale of an animal such as a cat. Professor Finn concurred with Professor LeCun. “We still don’t even have the AI capabilities to make a bowl of cereal,” she noted. “Such basic things are still beyond what our current algorithms are capable of.”

Building on the topic of his invited talk, Professor Bengio added that, in order for future systems to have intelligence comparable to that of the way humans learn as children, a world model will need to be developed that is based on unsupervised learning. “Our models need to act like human babies in order to go after knowledge in an active way,” he explained.

The panel discussion then moved on to the ways in which the community can bridge the gaps between current technologies and future, human-intelligence level technologies, with all the experts agreeing that there is still much work to be done in developing systems that mimic the way human synapses work. “A lot of current research directions are trying to address these gaps,” reassured Professor Bengio.

Next, the panel shared their thoughts on how to make AI ‘fairer’ given the inherent biases possessed by today’s societies, with the experts debating the balance that needs to be struck between systems development reform, institutional regulation and corporate interest. Dr. Wortman Vaughan made the case for introducing a diversity of viewpoints across all parts of the system building process. “I would like to see regulation around processes for people to follow when designing machine learning systems rather than trying to make everyone meet the same outcomes.”

The final question given to the panel asked for their thoughts on which field will be the next successful application area for end-to-end models. “End-to-end models changed the field of speech recognition by reducing latency and removing the need for internet connection,” noted Dr. Sainath. “Thanks to this breakthrough, going forward, you’re going to see applications of end-to-end models for such purposes as long meeting transcriptions. We always speak of having ‘one model to rule them all’, and this is a challenging and interesting research area that has been expanded by the possibilities of end-to-end models as we look to develop a model capable of recognizing all the languages in the world.”

Enhancing Human Experience through AI

The second day of the AI Forum 2020 was hosted by Samsung Research, the advanced R&D hub of Samsung Electronics that leads the development of future technologies for the company’s end-product business.

In his opening keynote speech, Dr. Sebastian Seung, President and Head of Samsung Research, outlined the areas in which Samsung has been accelerating its AI research to the end of providing real-world benefits to their users, including more traditional AI fields (vision and graphics, speech and language, robotics), on-device AI and the health and wellness field.

After showcasing a range of Samsung products bolstered with AI technologies, Dr. Seung affirmed that, in order to best extend the capabilities of AI to truly help people in meaningful ways, academic researchers and corporations need to come together to find best-practice solutions.

Putting the Future of AI into Perspective

Following Dr. Seung’s speech, the second day of the Forum proceeded with a series of invited talks around the theme of ‘Human-Centric AI’ by Professor Christopher Manning of Stanford University, Professor Devi Parikh of the Georgia Institute of Technology, Professor Subbarao Kambhampati of Arizona State University and Executive Vice President of Samsung Research Daniel D. Lee, Head of Samsung’s AI Center in New York and Professor at Cornell Tech.

The expert talks were followed by a live panel discussion, moderated by Dr. Seung and joined by Professor Manning, Professor Parikh, Professor Kambhampati and EVP Lee. Dr. Seung kicked off the discussion with a question about a topic raised in Professor Kambhampati’s speech around the potential issues that could lead to the risk of data manipulation as AI develops. “As AI technology continues to develop, it is important that we stay vigilant about the potential for manipulation and work to solve the issues of any AI systems’ inadvertent data manipulations,” explained Professor Kambhampati.

Dr. Seung then posed a much-requested viewer question to the panel. Given that one of the most practical concerns in AI research is the obtaining of data, the experts were asked whether they believe that companies or academic researchers need to develop new means of handling and managing data. Acknowledging that academics often struggle to secure data while companies possess alleviated data shortage problems yet elevated restraints around the usage of their data, Professor Parikh made a case for the need of new research methods that can be modeled with insufficient data or with cooperation between academia and industry, including open research methods. “In many areas, there are big public data sets available,” she noted. “Researchers outside of companies are able to access and use these. But further to this, some of the most interesting fields in AI today are the ones where we don’t have much data – these represent some of the most cutting-edge problems and approaches.”

The final question took the panel back to the theme of the AI Forum’s second day, ‘Human-Centered AI’, wherein the panelists were asked whether or not they believe that AI will be capable of equaling human intelligence in the next 70 years, since that is the period of time it has taken us to get to where we are today in the field of AI research. EVP Lee reasoned that AI still has a way to go – but that 70 years is a long time. “I am optimistic,” noted EVP Lee, “but there are lots of hard problems in the way. We need to have academics and companies working on a goal like this together.”

“We are currently reaching the limits of the range of problems we can solve using just lots of data,” summarized Professor Manning. “Before we see AI developments like this on a large scale, an area that we should emphasize is the production of AI systems that work for regular people, not just huge corporations,” he concluded.

The Samsung AI Forum 2020 ended with a warm thanks to all the esteemed experts who had taken part in the two-day Forum and a shared hope to hold next year’s Forum offline. All the sessions and invited talks from the AI Forum 2020 are available to watch on the official Samsung YouTube channel.

This year’s AI Forum, the fourth of its kind, is being held over two days this November 2 and 3. The second day of the event, hosted by Samsung Research, the advanced R&D hub of the company that leads the development of future technologies for Samsung Electronics’ SET (end-products) business, facilitated discussion around how industry experts and academics alike can further research into AI technologies, products, and services that directly impact and enhance the lives of all people.

AI Forum Day 2: Human-Centered AI

To open up the second day of the AI Forum 2020 on November 3, Dr. Sebastian Seung, President and Head of Samsung Research, gave a welcome speech that highlighted how the theme of the Forum’s second day, “Human-Centered AI,” is very much in line with Samsung’s vision of creating products and services that make all our lives richer and more convenient.

Dr. Seung outlined the importance of collaboration between corporate and academic AI researchers. “Unlike academic researchers, who have greater freedom to explore their professional interests, corporate researchers dealing with real-world issues often encounter constraints in their research,” explained Dr. Seung. “To overcome such restraints, companies are driven to find creative ways to problem-solve and to conduct truly innovative research.”

Dr. Seung went on to outline the areas in which Samsung has been progressing its AI research, highlighting how the company has been expanding its research into traditional AI fields such as vision and graphics, speech and language and robotics. He noted that the company has also been making great efforts with their on-device AI, with work being done to develop how AI functions on devices with limited computational power, limited electrical power consumption and other such constraints. He also highlighted the company’s focus on the field of health and wellness, stressing it as a very fascinating area wherein AI, data and devices can come together to benefit people in their health and wellness journeys.

In order to showcase the big picture within which AI research exists, Dr. Seung then presented a range of Samsung products that are infused with AI technologies, noting the existing technical challenges that Samsung and other AI researchers around the world should be looking to surmount in order to extend the capability of AI as much as possible to help people. “AI research for a better world only begins when we think deeply about how AI is capable of improving our lives and changing human behavior for the better,” concluded Dr. Seung.

Expert Highlights: Keynote Speeches

For the second day of the Samsung AI Forum 2020, some of the most prolific experts in AI worldwide were invited to participate in the Forum’s lectures and discussions. Professor Christopher Manning of Stanford University, a world-renowned scholar in the field of natural language processing (NLP), gave a presentation titled Natural Language Understanding and Conversational AI. Professor Manning shared the current status and latest trends in NLP technologies, highlighting the recent rapid development of such technologies, and introduced more accurate conversational agents and more effective open domain social robots based on them. Professor Devi Parikh of the Georgia Institute of Technology gave a lecture titled Multimodal and Creative AI Systems, in which she described her work into computer vision systems that humans can interact with via language and AI systems that can assist humans with their creative and artistic endeavors.

Professor Subbarao Kambhampati of Arizona State University, a founding board member of the nonprofit The Partnership on AI, gave a lecture titled Synthesizing Interpretable Behavior for Human-Aware AI Systems. Using several case studies from his research, Professor Kambhampati highlighted the growing need for AI systems to work synergistically with humans in everyday life and asserted that, for this to happen, the systems need to exhibit behavior interpretable by humans.

Lastly, Daniel D. Lee, Executive Vice President of Samsung Research, Head of Samsung’s AI Center in New York and Professor at Cornell Tech, delivered a lecture under the theme AI for Robots and People. He examined the technologies being used in the latest machine learning algorithms and explained how they can be used both to develop more advanced robotics systems and to improve people’s everyday lives.

Stay tuned to Samsung Newsroom for more information on the Samsung AI Forum 2020.

This year’s AI Forum, the fourth of its kind, is being held over two days this November 2 and 3. The first day of the event, hosted by the Samsung Advanced Institute of Technology (SAIT), Samsung’s R&D hub dedicated to cutting-edge future technologies, is enabling participants to facilitate discussions around how to make the best use of AI technologies in a way that can benefit our daily lives in a rapidly changing world, particularly within the context of the unprecedented situations that have arisen recently due to the global pandemic.

AI Forum Day 1: The Past, Present and Future of AI

On November 2, Dr. Kinam Kim, Vice Chairman & CEO of Device Solutions at Samsung Electronics, commemorated the start of the first day of the AI Forum 2020 by delivering an opening speech that highlighted how AI technologies have shown remarkable progress over the years. He went on to note that, given these changes, many are expecting AI to address the issues brought on by the recent pandemic, but highlighted that since AI bases its models on massive amounts of real-life data and simulations, the task of modeling the current pandemic and other natural disasters with AI was a daunting one.

Dr. Kim went on to provide his own views on the ways in which AI technologies can move forward and be harnessed to have meaningful impact on real world problems, and also highlighted that Samsung Electronics, as a major provider of core technologies in the AI ecosystem, is proactively co-operating with global researchers to seek solutions to such real world problems. Dr. Kim ended his opening speech with the expectation that meaningful discussions on the present and future of AI technologies and their benefit for humanity were set to take place during this year’s Forum.

Recognizing Leading Talent in the Field

At this year’s AI Forum, Samsung introduced their inaugural Samsung AI Researcher of the Year awards with the view to identify prominent emerging researchers in the field from around the world and to support their research activities.

This year’s Samsung AI Research of the Year awards went to Professor Kyunghyun Cho of New York University, Professor Chelsea Finn of Stanford University, Professor Seth Flaxman of Imperial College London, Professor Jiajun Wu of Stanford University and Professor Cho-Jui Hsieh of UCLA.

Professor Kyunghyun Cho, a globally recognized researcher in natural language processing, has been publishing a consistent stream of acclaimed papers across the medicine, biology and optimization disciplines. “I am honored to have received a Samsung AI Researcher of the Year award and am committed to developing AI-focused research further down the road,” said Professor Cho of the recognition.

Expert Highlights: Keynote Speeches

Professor Yoshua Bengio, who served as this year’s co-chair and was selected as Samsung AI Professor of the Year, gave a presentation titled Towards Discovering Casual Representations. In his lecture, Professor Bengio explained that, up until now, conventional deep learning technologies have been relying on inference to recognize sensual information and learn from it, but AI technologies that are instead capable of learning the causality between hidden variables before drawing conclusions could be capable of making inferences just as humans do, and hence would be able to respond to unprogrammed situations. With visions of such a type of AI in mind, Professor Bengio shared the initial outcomes of his research and suggested how, based on this, AI technologies can make steps forward.

Professor Yann LeCun of New York University, a researcher who pioneered the Convolutional Neural Network widely applied to video recognition technologies, presented his latest model related to Self-Supervised Learning. Unlike supervised learning which returns a given answer to each given data set, self-supervised learning adopts a learning model consisting of autonomously creating questions within data and subsequently finding answers. Such a method has been applied to a massive linguistic model capable of generating sentences just as people do. Professor LeCun highlighted how self-supervised learning is similar to the way children experience and learn the world, and presented an energy-based model based on such a comparison.

Professor Chelsea Finn of Stanford University, a young researcher in the spotlight within the field of meta learning, gave a lecture titled From Few-Shot Adaptation to Uncovering Symmetries. In her lecture, Professor Finn introduced meta learning technologies in which AI, in spite of changes in data, can adapt swiftly to untrained data, and proceeded to share success stories of the application of these technologies in the areas of robotics and new drug candidate material design.

Professor Donhee Ham, Fellow at the Samsung Advanced Institute of Technology and Professor at Harvard University, delivered a presentation titled Reconstruction of the Brain. In his presentation, he highlighted that the current level of AI is based on the human brain but in fact works in a way different from how the brain functions, causing limitations to its capability. Professor Ham introduced cutting-edge neural science technologies that could mimic the structure and functionalities of the human brain circuit and create computer integrated circuits on their own.

Industry experts also took part in giving presentations. Dr. Tara Sainath of Google Research released the latest research outcomes of end-to-end models developed for speech recognition capable of enhancing the accuracy, efficiency and multi-lingual capability of voice assistant services widely available across smart devices.

Dr. Jennifer Wortman Vaughan of Microsoft Research gave a lecture titled Intelligibility Throughout the Machine Learning Life Cycle. She shared a human-centric machine learning concept, highlighting that, in order to develop a fair machine learning system capable of garnering the trust of people, people’s clear understanding of the system is required. Dr. Wortman Vaughan then introduced research outcomes that can objectively verify such a mechanism.

Since the Samsung AI Forum 2020 was held virtually this year, students and researchers alike in the AI research field from all over the world were able to engage in online discussions and exchanges. When tuning in to the Forum’s lectures on Samsung Electronics’ YouTube channel, attendees could ask questions to and receive answers from the distinguished speakers thanks to a real-time chat functionality.

Stay tuned to Samsung Newsroom for more information on the Samsung AI Forum 2020.