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KAIST to showcase a pack of KAIST Start-ups at CES 2023
- KAIST is to run an Exclusive Booth at the Venetian Expo (Hall G) in Eureka Park, at CES 2023, to be held in Las Vegas from Thursday, January 5th through Sunday, the 8th. - Twelve businesses recently put together by KAIST faculty, alumni, and the start-ups given legal usage of KAIST technologies will be showcased. - Out of the participating start-ups, the products by Fluiz and Hills Robotics were selected as the “CES Innovation Award 2023 Honoree”, scoring top in their respective categories. On January 3, KAIST announced that there will be a KAIST booth at Consumer Electronics Show (CES) 2023, the most influential tech event in the world, to be held in Las Vegas from January 3 to 8. At this exclusive corner, KAIST will introduce the technologies of KAIST start-ups over the exhibition period. KAIST first started holding its exclusive booth in CES 2019 with five start-up businesses, following up at CES 2020 with 12 start-ups and at CES 2022 with 10 start-ups. At CES 2023, which would be KAIST’s fourth conference, KAIST will be accompanying 12 businesses including start-ups by the faculty members, alumni, and technology transfer companies that just began their businesses with technologies from their research findings that stands a head above others. To maximize the publicity opportunity, KAIST will support each company’s marketing strategies through cooperation with the Korea International Trade Association (KITA), and provide an opportunity for the school and each startup to create global identity and exhibit the excellence of their technologies at the convention. The following companies will be at the KAIST Booth in Eureka Park: The twelve startups mentioned above aim to achieve global technology commecialization in their respective fields of expertise spanning from eXtended Reality (XR) and gaming, to AI and robotics, vehicle and transport, mobile platform, smart city, autonomous driving, healthcare, internet of thing (IoT), through joint research and development, technology transfer and investment attraction from world’s leading institutions and enterprises. In particular, Fluiz and Hills Robotics won the CES Innovation Award as 2023 Honorees and is expected to attain greater achievements in the future. A staff member from the KAIST Institute of Technology Value Creation said, “The KAIST Showcase for CES 2023 has prepared a new pitching space for each of the companies for their own IR efforts, and we hope that KAIST startups will actively and effectively market their products and technologies while they are at the convention. We hope it will help them utilize their time here to establish their name in presence here which will eventually serve as a good foothold for them and their predecessors to further global commercialization goals.”
Research Finds Digital Music Streaming Consumption Dropped as a Result of Covid-19 and Lockdowns
Decline in human mobility has stunning consequences for content streaming The Covid-19 pandemic and lockdowns significantly reduced the consumption of audio music streaming in many countries as people turned to video platforms. On average, audio music consumption decreased by 12.5% after the World Health Organization’s (WHO) pandemic declaration in March 2020. Music streaming services were an unlikely area hit hard by the Covid-19 pandemic. New research in Marketing Science found that the drop in people’s mobility during the pandemic significantly reduced the consumption of audio music streaming. Instead, people turned more to video platforms. “On average, audio music consumption decreased by more than 12% after the World Health Organization’s (WHO) pandemic declaration on March 11, 2020. As a result, during the pandemic, Spotify lost 838 million dollars of revenue in the first three quarters of 2020,” said Jaeung Sim, a PhD candidate in management engineering at KAIST and one of the authors of the research study on this phenomenon. “Our results showed that human mobility plays a much larger role in the audio consumption of music than previously thought.” The study, “Frontiers: Virus Shook the Streaming Star: Estimating the Covid-19 Impact on Music Consumption,” conducted by Sim and Professor Daegon Cho of KAIST, Youngdeok Hwang of City University of New York, and Rahul Telang of Carnegie Mellon University, looked at online music streaming data for top songs for two years in 60 countries, as well as Covid-19 cases, lockdown statistics, and daily mobility data, to determine the nature of the changes. The study showed how the pandemic adversely impacted music streaming services despite the common expectation that the pandemic would universally benefit online medias platforms. This implies that the substantially changing media consumption environment can place streaming music in fiercer competition with other media forms that offer more dynamic and vivid experiences to consumers. The researchers found that music consumption through video platforms was positively associated with the severity of Covid-19, lockdown policies, and time spent at home. -PublicationJaeung Sim, Daegon Cho, Youngdeok Hwang, and Rahul Telang,“Frontiers: Virus Shook the Streaming Star: Estimating the Covid-19 Impact on Music Consumption,” November 30 in Marketing Science online (doi.org/10.1287/mksc.2021.1321) -Profile Professor Daegon ChoGraduate School of Information and Media ManagementCollege of BusinessKAIST
Cyber MOU Signing with Zhejiang University
KAIST signed an MOU with Zhejiang University (ZJU) in China on March 25. This MOU signing ceremony took place via video conference due to the outbreak of COVID-19. The collaboration with ZJU had already started with the signing of an MOU for cooperation in technology commercialization last December. Possible cooperation initiatives included facilitating joint start-up businesses, patent portfolios, and technology marketing. With this general agreement signing, it is expected that the two institutes will expand mutual exchanges and collaborations at the institutional level for education and research. President Sung-Chul Shin said, “We will work together to devise measures for the systematic advancement of cooperation in various directions, including education, research, and the commercialization of technologies.” ZJU, a member of the C9 League known as China’s Ivy League, was established in 1897 and is located in the city of Hangzhou. Its population across 37 colleges and schools comprises 54,641 students and 3,741 faculty members. The university was ranked 6th in Asia and 54th in the world in the 2020 QS Rankings. (END)
Rise of the mimic-bots that act like we do: Human-machine teamwork.
An online magazine, Technology Marketing Corporation, based in the UK published an article, dated January 8, 2011, on a robot research project led by Professor Jong-Hwan Kim from the Electrical Engineering Department. The article follows below: Technology Marketing Corporation [January 08, 2011] Rise of the mimic-bots that act like we do Human-machine teamwork (New Scientist Via Acquire Media NewsEdge) Rise of the mimic-bots that act like we doA robot inspired by human mirror neurons can interpret human gestures to learn how it should actNow follow meA robot inspired by human mirror neurons can interpret human gestures to learn how it should actA HUMAN and a robot face each other across the room. The human picks up a ball, tosses it towards the robot, and then pushes a toy car in the same direction. Confused by two objects coming towards it at the same time, the robot flashes a question mark on a screen. Without speaking, the human makes a throwing gesture. The robot turns its attention to the ball and decides to throw it back. In this case the robot"s actions were represented by software commands, but it will be only a small step to adapt the system to enable a real robot to infer a human"s wishes from their gestures. Developed by Ji-Hyeong Han and Jong-Hwan Kim at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, the system is designed to respond to the actions of the person confronting it in the same way that our own brains do. The human brain contains specialised cells, called mirror neurons, that appear to fire in the same way when we watch an action being performed by others as they do when we perform the action ourselves. It is thought that this helps us to recognise or predict their intentions. To perform the same feat, the robot observes what the person is doing, breaks the action down into a simple verbal description, and stores it in its memory. It compares the action it observes with a database of its own actions, and generates a simulation based on the closest match. The robot also builds up a set of intentions or goals associated with an action. For example, a throwing gesture indicates that the human wants the robot to throw something back. The robot then connects the action "throw" with the object "ball" and adds this to its store of knowledge. When the memory bank contains two possible intentions that fit the available information, the robot considers them both and determines which results in the most positive feedback from the human?- a smile or a nod, for example. If the robot is confused by conflicting information, it can request another gesture from the human. It also remembers details of each interaction, allowing it to respond more quickly when it finds itself in a situation it has encountered before. The system should allow robots to interact more effectively with humans, using the same visual cues we use. "Of course, robots can recognise human intentions by understanding speech, but humans would have to make constant, explicit commands to the robot," says Han. "That would be pretty uncomfortable."Socially intelligent robots that can communicate with us through gesture and expression will need to develop a mental model of the person they are dealing with in order to understand their needs, says Chris Melhuish, director of the Bristol Robotics Laboratory in the UK. Using mirror neurons and humans" unique mimicking ability as an inspiration for building such robots could be quite interesting, he says. Han now plans to test the system on a robot equipped with visual and other sensors to detect people"s gestures. He presented his work at the Robio conference in Tianjin, China, in December. nAs the population of many countries ages, elderly people may share more of their workload with robotic helpers or colleagues. In an effort to make such interactions as easy as possible, Chris Melhuish and colleagues at the Bristol Robotics Laboratory in the UK are leading a Europe-wide collaboration called Cooperative Human Robotic Interaction Systems that is equipping robots with software that recognises an object they are picking up before they hand it to a person. They also have eye-tracking technology that they use to monitor what humans are paying attention to. The goal is to develop robots that can learn to safely perform shared tasks with people, such as stirring a cake mixture as a human adds milk. (c) 2011 Reed Business Information - UK. All Rights Reserved.
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