Taiwan


Coronavirus update: Artificial Intelligence warned of the killer epidemic week before WHO

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According to the Polish Economics Institute (PIE), the first coronavirus warnings were issued on December 31 by a Canada-based health monitoring startup. The Canadian company, BlueDot, even correctly predicted the cities outside of China coronavirus would next appear: Tokyo, Seoul, Taipei and Bangkok. PIE said: "Algorithms using artificial intelligence solutions identified the onset of the coronavirus epidemic a few days earlier than reported in the official information from international organisations such as the WHO or the CDC." BlueDot's AI predicted the spread of coronavirus by analysing airline data, international news stories and reports of coronavirus animal infections.


Combining Cloud technology with the Internet of Things, HTG uses remote microscopic diagnosis technology to instantaneously diagnose wastewater processing systems and ancillary support systems. - EYE On Taiwan Media 印象臺灣 Taiwan Lifestyle

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Water is perhaps an indispensable part of life and it is also a must-have resource. For many countries or areas, to have clean, non-polluted water is a luxury. HTG founder Lin Tseng‐Hsian [Frank Lin], has over 30 years of research under his belt and a qualified international professional environmental APEC engineer. The company has over the years accrued a significant database through analyses of biological life forms in bodies of water and assessing the level of pollution in waters, leading to ever more rapid diagnosis of the condition of the water system. The development of remote monitoring of effluent processing plants has allowed them to maximize the efficiency of chemical dosages used for water sanitation, as well as making changes to wastewater processing projects on the fly.


Taiwan Is Opening A Giant AI-Focused Business Park

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Officials in Taiwan make no secret about turning the island into a hub for artificial intelligence R&D. It's an area that's expected to grow into a $390.9 billion market by 2025, according to Grand View Research. Taiwan has been the world's hardware hub for decades, so the shift toward AI makes the most of the existing inexpensive engineering talent. A refocus on AI, however, reduces reliance on hardware, which can easily be made somewhere else, such as China, at lower costs. Multinational tech companies have already shown interest in tapping Taiwan's talent in software, including AI.


Intel's Blockbuster Results Lift Shares to Dotcom Peak, Fire Up Sector

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Shares of AMD, which will report earnings next week, rose 1% to a record high. Nvidia shares were also up 1%. Intel's stock was up 8.6% at $68.75, a level it has not seen since the peak of the dotcom boom in 2000, propelling the broader Nasdaq and the Philadelphia SE Semiconductor Index to record highs. Other major chipmakers such as Taiwan Semiconductor Manufacturing Co Ltd (TSMC) and Texas Instruments have also given upbeat forecasts this month, cementing hopes of a rebound in the market that fell nearly 12% in 2019, according to research firm Gartner. However, Intel has struggled with delays in its 10nm chip technology, losing its lead to rival TSMC in the race to supply to the "new data economy", which includes 5G, autonomous vehicles and artificial intelligence.


This AI-Powered Cockpit Knows When To Cut Off The Driver

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Fully self-driving cars are still a thing of the future. But in today's laboratories, the technology ranges from commonly used cruise control systems to so much automation that humans don't need to get into a car at all. In Taiwan, a startup is developing a driver's cockpit that's comfortable and packed with artificial intelligence features that transfers control of the vehicle to the computer whenever the system senses that the human driver is sick, tired, distracted or just sloppy. The 3-year-old Taipei-based Mindtronic AI developed this cockpit, called DMX, last year with luxuries like easy-to-use entertainment for the driver. But what if the driver gets mesmerized by a soccer match?


KaiKuTek Is Developing Mmwave/Deep Learning Technologies Can Meet the Needs of Specific Applications of AI and Create a Sustainable Profitability Business Model

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Taiwan ranks highly in mathematical proficiency, and with the heavy promotion of AI by the government and the industry over the years, the country has cultivated many AI talents. It is because of this that Mike Wang decided to return to Taiwan and set up a company. However, he believes that most of the AI applications in Taiwan are currently limited to a few areas like finance and shopping. Realistically, maximum synergy can only be achieved when AI is combined with hardware. At present, there is an enormous startup manufacturing industry chain in Taiwan.


'We Were All Nervous': How The Irishman's Visual Effects Team Got the Job Done

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In the fall of 2015, celebrated visual effects whiz Pablo Helman was in Taiwan celebrating Thanksgiving with Martin Scorsese. The 24-year veteran of Industrial Light & Magic, the company founded by George Lucas at the onset of the Star Wars franchise, was midway through production on the director's Jesuit missionary saga, Silence, for which Helman had to digitally re-create the enormity of St. Paul's College of Macau. But over holiday dinner, Scorsese began pitching Helman on a different film entirely. It was another adaption, this one based on I Heard You Paint Houses, Charles Brandt's biography of mob hit man and supposed Jimmy Hoffa murderer Frank Sheeran. Much like Silence, the story was expansive, though instead of spanning geography (Portugal to Japan), the movie would stretch across years (approximately seven decades).


The world's first AI inventor has been rejected by British and European patent authorities

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The world's first artificially intelligent "inventor" has been rejected by British and European patent authorities, marking an historic moment in an ongoing debate around the role of creative machines. In July last year, an international squad of legal experts challenged patent authorities around the world to recognise the "inventorship" of artificial intelligence, arguing that the current regimes were outdated and do not protect machines' creative output. The nine-strong group, led by University of Surrey professor Ryan Abbott, made headlines after submitting patents designed by an artificially intelligent machine with the US, UK and European authorities. They have since filed more applications in Germany, Israel, Taiwan and China. The team is battling for recognition of a particular AI inventor called Dabus.


CyberLink CEO Dr. Jau Huang Shares Insights on Edge Computing and Showcases FaceMe AI-based Facial Recognition Engine at Intel Edge Computing Solution Summit - Business Wire - UrIoTNews

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TAIPEI, Taiwan–(BUSINESS WIRE)–CyberLink Corp. (5203.TW), a pioneer of AI and facial recognition technologies, participated in the Intel Edge Computing Solution Summit. The summit brought together leaders from the IoT industry who shared insights on AI edge computing's latest breakthroughs and the opportunities that this technology will bring in the future. Dr. Jau Huang, CyberLink's founder and CEO, was invited to speak about the benefits of edge computing and how it enables precise, fast, affordable and secure AIoT use cases including facial recognition, such as the company's FaceMe AI-based engine. With FaceMe, CyberLink has leveraged edge-based technology and AI to deliver one of the world's most precise, flexible and best performing facial recognition engines. Compared with cloud-based solutions, edge computing is much cheaper, greatly enhances flexibility and provides real-time response, helping system integrators quickly develop and add new functionalities into existing systems and new AIoT products.


Global Deep Learning System Market Analysis by Market Key Player, Product Application & Geography

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Deep Learning System Market report offers detailed analysis and a five-year forecast for the global Deep Learning System industry. Deep Learning System market report delivers the insights which will shape your strategic planning as you estimate geographic, product or service expansion within the Deep Learning System industry.. The Deep Learning System market accounted for $XX million in 2018, and is expected to reach $XX million by 2024, registering a CAGR of YY% from 2019 to 2024. The global Deep Learning System market is segmented based on product, end user, and region. Region wise, it is analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, Italy, Spain, France, and rest of Europe), Asia-Pacific (Japan, China, Australia, India, South Korea, Taiwan, and, rest of Asia-Pacific) and EMEA (Brazil, South Africa, Saudi Arabia, UAE, rest of EMEA). Ask more details or request custom reports to our experts at https://www.proaxivereports.com/pre-order/12206