Recently, Chinese Prime Minister Li Keqiang pointed out that the mainland should accelerate the development of high-tech-focused “new infrastructure initiative", such as 5G networks, big data and artificial intelligence, as well as upgrade and “smarten" existing infrastructure. The Nikkei Asian Review quoted a report released in March by the government-backed think tank China Center for Information Industry Development (CCID), estimating that the mainland will invest at least RMB17 trillion (about HK$18.5 trillion) in more than 800 projects in the next five years, including 73 projects in Guangdong Province, such as autonomous driving and smart ports. The article also listed the key companies involved in these projects, Hong Kong is basically missing the opportunity brought by these huge infrastructure project, except for the artificial intelligence (AI) startup SenseTime. How can we not be disappointed!繼續閱讀
Computers in Human Behavior, an academic journal on human-computer interaction, published an interesting article titled “When computers take the lead: The automation of leadership". It describes how computers today have taken over work traditionally handled by human boss, such as scheduling duty and dispatching tasks.
In a recent article, Professor Joseph Sung Jao-yiu of the Chinese University of Hong Kong referred to the vast amount of data collected by advanced diagnostic technology. For example, capsule endoscopy can complete an entire small intestine examination, in contrast to using endoscopic lens, and take more than 5,000 images in a six-hour operation. 繼續閱讀
Artificial intelligence (Al) is regarded as a key to drive the world’s future development. Although Europe and the United States are dominated by private enterprises, while the Mainland China is led by national entities, the core of AI formation, in fact, is rested on available top-notch talent. The 2017 Global AI Talent White Paper released by the Tencent Research Institute in December last year stated that there are approximately 300,000 AI researchers and practitioners in the world, while the market demand for AI talent is in millions. In the first 10 months of 2017, the demand for AI talent was twice of that in 2016. The report suggests that the bottleneck is education – though there are 20,000 graduates from related disciplines each year, the number is far from adequate to meet the demand. 繼續閱讀