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Artificial Intelligence Innovation in Taiwan Research Blog

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Taiwan is a small island off the coast of China that is roughly one fourth the size of North Carolina. Despite its size, Taiwan has made significant waves in the fields of science and technology. In the 2019 Global Talent Competitiveness Index Taiwan (labeled as Chinese Taipei) ranked number 1 in Asia and 15th globally. However, despite being ahead of many countries in terms of technological innovation, Taiwan was still looking for further ways to improve and support research within the country. Therefore, in 2017 the Taiwan Ministry of Science and Technology (MOST), initiated an AI innovation research program in order to promote the development of AI technologies and attract top AI professionals to work in 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.


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?


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.


News Vecow - Wide Temperature Fanless Embedded Computing System, Machine Vision, Video Analytics Surveillance, Intelligent Industrial Automation

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New Taipei City, Taiwan, Dec. 10, 2019 - Vecow Co., Ltd., a team of embedded experts, today announced the release of her latest GPC-1000 Series Expandable Dual GPU AI Computing System. Powered by workstation-grade Intel C246 chipset, running on dual NVIDIA Tesla /Quadro /GeForce /AMD Radeon Pro/Radeon graphics, Vecow GPC-1000 Series delivers high-performance computing and help to reduce latency and improve efficiency in data process, storage and analysis, making it ideal for robotic control, public surveillance, autonomous vehicles and deep learning applications. Vecow GPC-1000 series is powered by 9th Generation Intel Xeon /Core processor, which offers 37% better performance compared to previous generation Intel Kaby Lake platform. To address the growing AI applications such as autonomous vehicles, factory automation, public surveillance and traffic vision which requires high performance computing capability, Vecow GPC-1000 Series features dual GPUs with options of NVIDIA or AMD graphics and brings the power of dual GPU to accelerate AI solutions development and deployment. Meanwhile, it supports 9V to 55V power input with 80V surge protection, enabling a simple and wide range of applications to deploy for system integrators.


Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection

arXiv.org Machine Learning

Unsupervised anomaly detection from high dimensional data like mobility networks is a challenging task. Study of different approaches of feature engineering from such high dimensional data have been a focus of research in this field. This study aims to investigate the transferability of features learned by network classification to unsupervised anomaly detection. We propose use of an auxiliary classification task to extract features from unlabelled data by supervised learning, which can be used for unsupervised anomaly detection. We validate this approach by designing experiments to detect anomalies in mobility network data from New York and Taipei, and compare the results to traditional unsupervised feature learning approaches of PCA and autoencoders. We find that our feature learning approach yields best anomaly detection performance for both datasets, outperforming other studied approaches. This establishes the utility of this approach to feature engineering, which can be applied to other problems of similar nature.


Appier, an AI Company Secures $80M in Series D Funding

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The company has acquired two start-ups since 2018- QGraph and Emotion Intelligence (Emin)- and following strategic integration of their technology into Appier's core offering. Taipei: Appier, an artificial intelligence (AI) company, announces today that it has raised a US$80 million Series D funding round with investment from TGVest Capital, HOPU-Arm Innovation Fund, Temasek's Pavilion Capital, Insignia Venture Partners, JAFCO Investment and UMC Capital. Appier's total funding to date is US$162 million. The latest capital injection will propel worldwide market expansion, attract outstanding global talent and drive innovation in AI for new industries beyond digital marketing, in addition to continuing to strengthen and scale Appier's current product suite. "Appier has been unwavering in its commitment to developing AI that makes people's lives easier, and we're proud to help our customers become data-driven organizations with cutting-edge technology at their core," said Chih-Han Yu, Appier CEO and Co-founder.


Appier, an AI Company Secures $80M in Series D Funding

#artificialintelligence

The company has acquired two start-ups since 2018- QGraph and Emotion Intelligence (Emin)- and following strategic integration of their technology into Appier's core offering. Taipei: Appier, an artificial intelligence (AI) company, announces today that it has raised a US$80 million Series D funding round with investment from TGVest Capital, HOPU-Arm Innovation Fund, Temasek's Pavilion Capital, Insignia Venture Partners, JAFCO Investment and UMC Capital. Appier's total funding to date is US$162 million. The latest capital injection will propel worldwide market expansion, attract outstanding global talent and drive innovation in AI for new industries beyond digital marketing, in addition to continuing to strengthen and scale Appier's current product suite. "Appier has been unwavering in its commitment to developing AI that makes people's lives easier, and we're proud to help our customers become data-driven organizations with cutting-edge technology at their core," said Chih-Han Yu, Appier CEO and Co-founder.


Taiwan's Appier raises $80M for AI-based marketing technology – TechCrunch

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Artificial intelligence continues to be the theme of the moment in enterprise software, and today a company out of Asia that has built a suite of AI-powered marketing and ad tools is announcing a round of funding. Appier, a Taipei-based startup that provides an artificial intelligence engine to brands and retailers to help improve customer engagement, predict purchasing and improve conversions on their sites, has picked up $80 million. This Series D includes TGVest Capital, HOPU-Arm Innovation Fund (SoftBank owns Arm), Temasek's Pavilion Capital, Insignia Venture Partners, JAFCO Investment and UMC Capital. The company has raised $162 million to date, with previous investors including Alibaba, Sequoia, SoftBank, and Line. Appier now has around 1,000 customers.


Asia-Pacific spending on AI to surge this year: IDC - Taipei Times

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Spending on artificial intelligence (AI) in the Asia-Pacific region is expected to surge by more than 50 percent on an annual basis to US$6.2 billion this year, market advisory firm International Data Corp (IDC) said. "Artificial intelligence is having an impact across many industries with widespread utilization, but is still at a nascent stage in the Asia-Pacific," IDC associate market analyst for Asia-Pacific Ritika Srivastava said in a report on Friday last week. "From providing chatbots for better customer service to improving the efficiency of operations and tasks for their business models, industries like banking, retail and professional services are spending in this technology at scale," Srivastava said. The banking industry would lead the way in spending on AI and contribute about 10.7 percent of overall spending in the Asia-Pacific region, the report said. Banks would mostly focus on AI/cognitive systems for fraud analysis and investigation, while also investing in automated customer service agents, it said.