Samsung Electronics Wins at Two Top Global AI Machine Reading Comprehension Challenges

robot learning or machine learning

3d rendering robot learning or machine learning with alphabets. Photo by Samsung Electronics

Samsung Research, the advanced R&D hub of Samsung Electronics’ business, has ranked first in two of the world’s top global artificial intelligence (AI) machine reading comprehension competitions.

Samsung Research recently placed first in the MS MARCO (Microsoft MAchine Reading Comprehension) competition, as well as showing the best performance in the University of Washington’s ongoing competition for TriviaQA, a challenge dataset for AI reading comprehension. Competitions such as MS MARCO and TriviaQA are ongoing competitions and allow contestants to participate at any time, rankings are altered according to real-time test results.

With intense competition in developing AI technologies globally, machine reading comprehension competitions such as MS MARCO are booming around the world. MS MARCO and TriviaQA are among the actively researched and used machine reading comprehension competitions along with SQuAD (Stanford Question Answering Dataset) of Stanford University and NarrativeQA developed by the University of Oxford and Google’s DeepMind. Distinguished universities around the world and global AI firms, including Samsung, are competing in these challenges.

Machine reading comprehension is where an AI algorithm is tasked with analyzing data and finding an optimum answer to a query on its own accord. For MS MARCO and TriviaQA, AI algorithms are tested on their capabilities of processing natural language from real anonymized user queries and also providing written text in various types of documents such as news articles and blog posts.

For example in MS MARCO, ten web documents are presented for a certain query to let an AI algorithm create an optimum answer. Queries are randomly selected from a million queries from Bing (MS search engine) users. Answers are evaluated statistically by estimating how close they are to human answers.

Samsung Research took part in the competitions with ConZNet, an AI algorithm developed by the company’s AI Center. ConZNet features skillful capabilities through adopting the Reinforcement Learning technique, which advances machine intelligence by giving reasonable feedback for outcomes, similar to a carrot-and-stick strategy to reinforce learning outcomes. The Reinforcement Learning technique is the most advanced type of Machine Learning AI algorithm, and cutting-edge AI technologies, including AlphaGo, are upgrading machine intelligence by applying this technique.

With the recent acceleration in global competition to develop AI technologies, contests are widespread in the areas of computer vision (technologies to analyze characters and images) and visual Q&A to solve problems using recognized images of characters as well as machine reading comprehension.

The Beijing branch of Samsung Research won the International Conference on Document Analysis and Recognition (ICDAR) hosted by the International Association of Pattern Recognition (IAPR) in March, putting them in a top-tier group for global computer vision tests. The ICDAR is the most influential competition in Optical Character Recognition (OCR) technologies.

“We are developing an AI algorithm to provide answers to user queries in a simpler and more convenient manner, for real life purposes,” said Jihie Kim, Head of Language Understanding Lab at Samsung Research. “Active discussion is underway in Samsung to adopt the ConZNet AI algorithm for products, services, customer response and technological development.”

© The Expo Review


Gartner Says By 2020, Artificial Intelligence Will Create More Jobs Than It Eliminates

AI Will Create 2.3 Million Jobs in 2020, While Eliminating 1.8 Million

2020 will be a pivotal year in AI-related employment dynamics, according to Gartner, Inc., as artificial intelligence (AI) will become a positive job motivator.

The number of jobs affected by AI will vary by industry; through 2019, healthcare, the public sector and education will see continuously growing job demand while manufacturing will be hit the hardest. Starting in 2020, AI-related job creation will cross into positive territory, reaching two million net-new jobs in 2025.

“Many significant innovations in the past have been associated with a transition period of temporary job loss, followed by recovery, then business transformation and AI will likely follow this route,” said Svetlana Sicular, research vice president at Gartner. AI will improve the productivity of many jobs, eliminating millions of middle- and low-level positions, but also creating millions more new positions of highly skilled, management and even the entry-level and low-skilled variety.

“Unfortunately, most calamitous warnings of job losses confuse AI with automation — that overshadows the greatest AI benefit — AI augmentation — a combination of human and artificial intelligence, where both complement each other.”

IT leaders should not only focus on the projected net increase of jobs. With each investment in AI-enabled technologies, they must take into consideration what jobs will be lost, what jobs will be created, and how it will transform how workers collaborate with others, make decisions and get work done.

“Now is the time to really impact your long-term AI direction,” said Ms. Sicular. “For the greatest value, focus on augmenting people with AI. Enrich people’s jobs, reimagine old tasks and create new industries. Transform your culture to make it rapidly adaptable to AI-related opportunities or threats.”

Gartner identified additional predictions related to AI’s impact on the workplace:

AI has already been applied to highly repeatable tasks where large quantities of observations and decisions can be analyzed for patterns. However, applying AI to less-routine work that is more varied due to lower repeatability will soon start yielding superior benefits. AI applied to nonroutine work is more likely to assist humans than replace them as combinations of humans and machines will perform more effectively than either human experts or AI-driven machines working alone will.

By 2022, one in five workers engaged in mostly nonroutine tasks will rely on AI to do a job.
“Using AI to auto-generate a weekly status report or pick the top five emails in your inbox doesn’t have the same wow factor as, say, curing a disease would, which is why these near-term, practical uses go unnoticed,” said Craig Roth, research vice president at Gartner. “Companies are just beginning to seize the opportunity to improve nonroutine work through AI by applying it to general-purpose tools. Once knowledge workers incorporate AI into their work processes as a virtual secretary or intern, robo-employees will become a competitive necessity.”

Leveraging technologies such as AI and robotics, retailers will use intelligent process automation to identify, optimize and automate labor-intensive and repetitive activities that are currently performed by humans, reducing labor costs through efficiency from headquarters to distribution centers and stores. Many retailers are already expanding technology use to improve the in-store check-out process.

Through 2022, multichannel retailer efforts to replace sales associates through AI will prove unsuccessful, although cashier and operational jobs will be disrupted.
However, research suggests that many consumers still prefer to interact with a knowledgeable sales associate when visiting a store, particularly in specialized areas such as home improvement, drugstores and cosmetics, where informed associates can make a significant impact on customer satisfaction. Though they will reduce labor used for check-out and other operational activities, retailers will find it difficult to eliminate traditional sales advisers.

“Retailers will be able to make labor savings by eliminating highly repetitive and transactional jobs, but will need to reinvest some of those savings into training associates who can enhance the customer experience,” said Robert Hetu, research director at Gartner “As such most retailers will come to view AI as a way to augment customer experiences rather than just removing humans from every process.”While many industries will receive growing business value from AI, manufacturing is one that will receive a massive share of the business value opportunity. Automation will lead to cost savings, while the removal of friction in value chains will increase revenue further, for example, in the optimization of supply chains and go-to-market activities.

In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity.
However, some industries, such as outsourcing, are seeing a fundamental change in their business models, whereby the cost reduction from AI and the resulting productivity improvement must be reinvested to allow reinvention and the perusal of new business model opportunities.

“AI can take on repetitive and mundane tasks, freeing up humans for other activities, but the symbiosis of humans with AI will be more nuanced and will require reinvestment and reinvention instead of simply automating existing practices,” said Mike Rollings, research vice president at Gartner. “Rather than have a machine replicating the steps that a human performs to reach a particular judgment, the entire decision process can be refactored to use the relative strengths and weaknesses of both machine and human to maximize value generation and redistribute decision making to increase agility.”


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코트라 내년 국내외 시장 주도할 글로벌 비즈니스 트렌드 설명회 개최

KOTRA(사장 김재홍)는 28일 서울 삼성동 코엑스에서 ‘글로벌 비즈니스 트렌드 설명회’를 개최한다. 4차 산업혁명의 진전 등 사업 여건이 급변하는 가운데 우리 기업인을 대상으로 비즈니스의 맥(脈)을 짚고 사업관련 미래의 나침반을 제시하고자, 해외뿐만 아니라 국내 비즈니스 트렌드까지 포괄하는 설명회를 마련했다.

2011년부터 ‘한국이 열광할 세계 트렌드’를 출간해오고 있는 KOTRA에서 개최하는 사상 첫 트렌드 설명회다.

KOTRA는 이번 설명회를 위해 △ 글로벌 컨설팅 기관인 프로스트 앤 설리번 △ 국내 최다 소비자 패널을 보유한 리서치 기관인 마크로밀 엠브레인 △ 스타트업 엑셀러레이터 로아인벤션랩 등 국내외를 대표하는 비즈니스 트렌드 전문가를 연사로 초청했다. 2018년을 주도할 국내외 비즈니스 트렌드부터 신규 사업아이템 및 스타트업 성공전략까지 한자리에 담아, 기업 관계자뿐만 아니라 새로운 사업아이템을 발굴하고자하는 예비 창업자의 눈길을 사로잡을 것으로 기대된다.

▷ (글로벌 트렌드) 세계는 AI․IoT 등 ‘와해적 혁신’ 돌풍… 해외 성공사례 주목해야
‘프로스트 앤 설리번’에서는 4차 산업혁명이라는 거대한 소용돌이가 가져올 글로벌 메가트렌드의 변화의 핵심을 ‘와해적 혁신’이라는 키워드로 소개한다. 인공지능(AI)․사물인터넷(IoT)․자율주행 등 첨단기술과 공유경제의 신(新) 비즈니스 모델이 전통산업 간의 경계를 허물고, 산업간 융합을 앞당기면서 비즈니스의 판을 새로이 짜고 있는데 주목하고 있는 것이다.

두 번째 연사로 나서는 ‘KOTRA’는 전 세계 해외무역관 주재원들이 현지에서 직접 포착한 ‘핫’하게 뜨고 있는 비즈니스 사례를 통해 글로벌 메가 트렌드의 변화가 실제 비즈니스 현장에서 어떻게 구현되고 있는지 설명한다. 당뇨 환자의 신체 데이터를 수집하고 치료하는 스마트 양말, 불법 드론에 대처하기 위한 안티 드론 시스템 등 해외의 다양한 최첨단 비즈니스 사례들을 소개한다.

▷ (국내 트렌드) 2018년 소비 키워드는 1코노미… 스타트업은 대기업 플랫폼 활용 전략이 효과적
한편, 국내 소비 트렌드에도 거대한 변화의 흐름이 감지되고 있다. 더 이상 다인가구가 아닌 개인이 완전한 소비의 주체이자 생산자가 되는 ‘1코노미’ 현상이 빠르게 번지고 있는 것이다. 개인의 경험 확장이 중시되고 구매 결정에 있어서도 사회적 분위기나 유행, 브랜드 인지도가 아닌 개인의 취향과 안목이 선택의 중요한 요인이 되고 있다. 국내 리서치 전문 기관인 ‘마크로밀엠브레인’은 위와 같은 국내 소비시장의 최신 변화를 발 빠르게 감지하고, 한국에서 성공적인 비즈니스를 창출하기 위한 시사점을 제시한다.

스타트업 액셀러레이터 ‘로아인벤션랩’은 오늘날처럼 불확실성이 크고 빠르게 변화하는 시장에서 개인 창업자나 중소기업이 새로운 사업 아이템에 성공하기는 쉽지 않다면, 대기업의 플랫폼을 활용한 스타트업 전략을 추천한다. 최근 삼성, SK 등 대기업들은 열린 혁신을 통해 스타트업 기업의 아이디어를 구하고 있다. 소규모 기업들은 대기업의 인프라를 활용해 다수의 소비자에게 접근할 수 있고, 대기업은 스타트업의 아이디어를 바탕으로 사업 분야를 확장하고 신규 서비스를 제공해 더 많은 이용자들을 확보할 수 있어 윈윈(win-win)이 가능하다.

윤원석 KOTRA 정보통상지원본부장은 “국내외 시장에서 어떠한 변화가 일어나고 있는지, 소비자들은 왜 그리고 무엇에 지갑을 여는지 등 글로벌 비즈니스 트렌드를 한눈에 파악하는 것은 쉽지 않다”며 “이번 설명회가 글로벌 시장의 흐름을 이해하고 성공적인 사업·창업 전략을 마련하는 데 도움이 될 것으로 기대하며, ‘한국이 열광할 세계 트렌드’서 발간과 함께 앞으로도 매년 국내외 비즈니스 트렌드 전문가를 초청한 설명회를 개최할 계획이다”고 밝혔다.

© The Expo Review