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 three 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 Landing AI

– 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)

With 5G networks, a self-learning AI-based tool’s ability to manage operations and optimize performance offers clear benefits for mobile operators. That said, we believe that complementing such tools with human creativity and decision-making will help bring the technology’s enormous potential to reality. With this in mind, Samsung has developed an AI tool known as CognitiV Analytics, which can collaborate with human counterparts to help mobile operators resolve various issues related to managing 5G networks.

I’d like to share how Samsung’s latest human-AI collaborative tool helps mobile operators optimize services and manage 5G networks more effectively.

Quality and Collaboration Are Key

CognitiV Analytics represents a big step forward for 5G network management. The solution’s ability to swiftly identify technical issues and accurately analyze network quality stems from two key features. The first is its ability to analyze the performance and quality of services across entire networks, while the second is the collaboration it fosters with its human counterparts.

In order to properly analyze network performance, it requires the collection and evaluation of entire service flows for each and every user. For example, in order to determine the service quality that a subscriber is experiencing when streaming videos, mobile operators need to know how various elements of their 5G networks, including RAN and Core, are operating together, and whether any issues have arisen. This is no small task. Because the sheer amount of raw data from each element is so massive, analyzing that data requires an extremely powerful AI tool.

To aid this process, Samsung and Zhilabs, a Samsung Company, created CognitiV Analytics. This powerful solution collects data from various sources from networks and uses that data to create a big-picture snapshot of the network’s status.

The solution offers comprehensive analysis, making it easier for mobile operators to evaluate and view network performance, services and other valuable information, eliminating the need to utilize multiple analytics solutions to obtain the same information. CognitiV Analytics tool offers the ability to offer fast analysis and also minimizes human error that can come with moving complex data across multiple tools.

By working closely with human counterparts and providing them with detailed explanations of its actions, our CognitiV Analytics solution offers greater transparency on how AI addresses particular problems. Over time, these interactions will help increase the tool’s accuracy and efficiency while enabling mobile operators to become more familiar with and trusting of AI.

The Importance of Strengthening AI Tools

CognitiV Analytics not only showcases what our AI technology is capable of, but it also demonstrates how AI can be used to solve important issues, and proves just how easily it can be incorporated into commercial networks. Included among the solution’s key features are its abilities; to learn using diverse data sets; to apply rule-based analysis; and to implement automation.

CognitiV Analytics’ AI has proven capable of quickly ascertaining important information about mobile operators’ networks even at the initial stage of its implementation, when only small data sets have been available. In order for AI to learn, it must be able to work with both labeled and unlabeled data. A typical data label might indicate whether a photo contains a horse or a cow, or what type of action is being performed in a video. Labeled network data, however, is expensive to obtain, since a few highly trained engineers can perform sophisticated labeling process. Therefore, in order for AI analytics tool to offer meaningful insights even at the initial stage, its AI must be capable of learning from unlabeled data. Our AI has the capability to learn from both labeled and unlabeled data, being able to support mobile operators from day one.

While most 5G network data sets can be analyzed with AI, some data features distinct characteristics that make it unsuitable for AI-based analysis. Such cases require users to apply their own rules, based on their experience and expertise, to assess their data. This is called rule-based analysis. CognitiV Analytics incorporates this analysis by enabling users to mix and match AI-based and rule-based analysis. This streamlines connections by offering mobile operators more accurate evaluations of network performance.

When we talk about automation in 5G networks, we’re talking about a process that typically features four phases: (1) discover the problem, (2) identify the root cause, (3) find the solution, and (4) apply the solution to the network. Some mobile operators tend to prefer to take some time to understand how AI-based analytics tools manage issues in each phase. Those of us in the industry believe this boils down to the familiarity and reliability of AI. Our CognitiV Analytics solution is designed to address the issue by applying each phase in steps, so mobile operators can take time to understand the AI in managing their 5G networks.

Samsung’s CognitiV Analytics is already being utilized in commercial networks that enable connections for hundreds of millions of mobile users. What is notable about this is the fact that our solution supports closed-loop automation, automatically offering recommended configurations for each element of a particular network. It features automatic KPI monitoring and fallback functions to guard against KPI degradation, which helps keep service levels constant across entire networks. In addition, based on its analysis of real-time data, CognitiV Analytics automatically adjusts network configurations to better manage fluctuations in traffic patterns and environmental changes.

Harnessing AI for Future Networks

For today’s mobile operators, proper network management is a complicated and essential part of keeping the world connected. It’s also an aspect of their operations that features no room for error. As the number of connected devices increases and more immersive use cases are introduced, mobile operators require simple tools that aid managing commercial networks and allow them to quickly respond to pressing issues. Powerful, AI-based management tools working closely with human counterparts make this possible.

We look forward to creating a future in which fully automated mobile networks behave like living organisms, promptly identifying issues and resolving them like our body would heal a wound. This means that if, for example, we found ourselves unable to stream a movie on our smartphone, the network’s AI-based management tool would fix the issue on its own. When AI expects an increase in traffic, it would expand network capacity by automatically adding network resources. While it will take some time to make these experiences a reality, we can make them possible by continuing to advance AI the right way.

CognitiV Analytics is a reflection of Samsung’s ongoing commitment to harnessing AI, which will bring incredible opportunities to enrich our everyday lives. Combining the power of AI and human creativity can provide mobile operators with the solutions they need to simplify operations and better manage network resources.

Samsung Research’s R&D Institute Poland Team

Samsung Research’s R&D Institute China-Beijing Team

For Task 1 – Subtask B, testing acoustic scene classification with mismatched recording devices, Samsung Research’s R&D Institute Poland won the first place. For Task 1 – Subtask C which tests open set acoustic scene classification, Samsung Research’s R&D Institute China-Beijing, in partnership with Beijing University of Post and Telecommunication (BUPT), won the first place while Samsung Research Institute Poland received the second place.

The goal of Subtask B and C of Task 1 (Acoustic Scene Classification) was to classify a test recording into one of the provided predefined classes that characterizes the environment in which it was recorded. In addition to this, Subtask C also asked participants to detect undefined acoustic scene from the 10 target classes. The recordings were taken in 12 large European cities and represented 10 categories: airport, indoor shopping mall, metro station, pedestrian street, public square, street with medium level of traffic, traveling by tram, traveling by bus, traveling by underground metro, and urban park.

In addition, Samsung Research’s R&D Institute Poland was recognized as the best team in Task 3 measuring sound event localization and detection. The goal of Task 3 was to jointly localize and recognize individual sound events and their durations. This technology has a wide variety of applications, including robots and AI speakers.

Sounds carry a large amount of information about our everyday environment and physical events that take place around us.¹ We’re now able to perceive the sound scene we’re in -such as a busy street, and even identify individual sounds such as a baby crying. This technology could help design intelligent monitoring systems that recognize activities in their environment by acoustic information.

The objective of Audio Intelligence at Samsung Research, the advanced research & development hub of the company’s SET (End-products) Business, is to improve the technology so that it can better pick out individual sounds even in environments with other background noise distractions.

¹ http://dcase.community/challenge2019/

Samsung Electronics’ artificial intelligence (AI) capabilities are being recognized globally in a competitive field with top researchers all seeking to dominate. Samsung Research, the advanced R&D arm of Samsung Electronics’ device business, has won recent competitions, which will be vital in ultimately rolling out AI in more real-world situations than ever.

In October, Samsung Research’s R&D Institute Poland (SRPOL), in partnership with University of Edinburgh of the U.K., won first place at the International Workshop on Spoken Language Translation (IWSLT), one of the world’s most renowned and longest-running automatic language translation workshops. IWSLT sits alongside the Workshop on Machine Translation (WMT) as the most prestigious competitions in the space. The IWSLT win is the second consecutive time that the Poland research center has topped the workshop.

Every June, IWSLT provides permissible training data sets and allows test run submissions from participants, evaluating the submitted runs with automatic metrics. This year, IWSLT featured two tasks: Low Resource Machine Translation and Speech Translation. SRPOL participated in the first sector, aiming to discover new technologies that can help overcome low-resource situations with scarcity in not only data but also in time and cost that are often required to use AI for multilingual translation.

Samsung’s task was using AI technology to translate text from Basque to English. The SRPOL team was first provided with limited amount of data – about a million Basque-to-English parallel data sets in the form of movie subtitles – to train and develop the algorithm model. Then, the team used this data to translate TED Talks given in Basque into English. Despite the difficulty of proposed translation direction and scarce data, when compared with the reference translations, SRPOL received the highest Bilingual Evaluation Understudy score (BLEU) of 26.21 – showing a high level of correspondence of the machine translation to the reference – and a significantly low error rate.

Samsung Research’s R&D Institute Poland (SRPOL) team

On the bordering country of Ukraine, Samsung’s AI expertise is being applied successfully within the automotive field. Samsung R&D Institute Ukraine (SRK) submitted a solution that it developed to detect pedestrians for the Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago (KITTI) Vision Benchmark Suite, one of the top three benchmarking organizations for automotive driving technology, in August. KITTI sits alongside Caltech Pedestrian and CityScapes as the leading benchmarking institutions.

Among the nine KITTI categories including Stereo, Objects, Tracking, Road and more – SRK submitted its computer vision technology SiRtaKi in the ‘Pedestrian Tracking’ category. Since the submission, the solution has been recognized as the best in the field, retaining its top position on the leaderboard.

To enter the competition in the ‘Pedestrian Tracking’ category, AI algorithms are tested on their capabilities to not only detect objects but trace their movements – an upgrade from the previous technologies where only detection was possible. Likewise, SRK downloaded roughly 3,400 raw images of pedestrian movements from KITTI to run SiRtaKi which employs a tracking-by-detection approach. The team, using SiRtaKi, obtained and analyzed each passerby’s coordination and traveling direction countless times. As a result, SRK’s rigorous work paid off as they received the best score among competitors for a high level of accuracy in the object tracking.

Needless to say, such AI technology is expected to help create new possibilities in the automotive industry – that it can be implemented in autonomous sensors to detect nearby pedestrians and objects’ movements and reduce danger on the roads. Adding on, the new algorithm will also be applied in our daily lives like home appliances and also in the to-be-developed next-generation technologies.

Samsung R&D Institute Ukraine (SRK) team

It doesn’t end here. Last July, Samsung Research placed first in two of the world’s prestigious AI reading competitions, the MAchine Reading COmprehension (MS MARCO) Competition held by Microsoft and TriviaQA hosted by the University of Washington. To date, Samsung is still ranked first in the Web category of TriviaQA. And in March, Samsung R&D Institute China-Beijing (SRC-B) made mark in AI development in computer vision (technologies in analysis of characters and images), winning the International Conference on Document Analysis and Recognition (ICDAR), a global competition in Optical Character Recognition technologies.

“So much innovation took place by Samsung Electronics from all over the world. With multiple achievements in the world’s prestigious AI-related competitions, Samsung is leading the development of artificial intelligence and the related technologies on a global level,” said Seunghwan Cho, Vice President of Samsung Research. “We will continue to contribute to realizing a highly user-centric environment by applying the groundbreaking AI technology to our current products and services.”