Technology and innovation can help solve manpower shortage – ejinsight

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Technology and the economy are much intertwined nowadays.

Why AI applications are not widely accepted in healthcare sector – ejinsight

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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.

初創專才人脈擴展關鍵 – 信報財經新聞, StartUpBeat

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這幾年我經常擔任創科比賽評審或導師，接觸的年輕人不限於本地，也有不少來自內地。雖然各有賣點，但初生之犢的滿腔熱誠和衝勁則完全一致。

How AI for healthcare can overcome obstacles and save lives – ITU News

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British Prime Minister Theresa May pledged in May that she would invest substantially in Artificial Intelligence (AI) to detect cancer in its early stage. This technology is expected to save 22,000 lives each year by 2033.

The mystery of Hong Kong’s lack of AI manpower – Smart Cities World Forums

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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.

HK should not be left behind in competition for AI talent – ejinsight

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There are approximately 300,000 artificial intelligence (Al) researchers and practitioners in the world, while the market demand for AI talent is in the millions, according to the Global AI Talent White Paper released by Tencent Research Institute in December 2017.

AI專才有價有市 – 信報財經新聞, StartUpBeat

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以往我們提到人工智能（Al），總想到一些牽涉抽象思維的活動，如捉圍棋、無人駕駛、分秒間篩選海量資料等，但要Al機械人在繁忙的鬧巿穿梭，又或像人類般靈巧地組裝一件家具卻甚為困難。因此，早前Tesla的馬斯克在Twitter中談到，車廠產能之所以遠低於預期是因為高估了機械人和自動化的能力，他直言「人類是被低估了」。

4 ways AI can optimize learning and teaching – ITU News

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Artificial intelligence (AI) holds tremendous promise to improve our educational systems.

AI: Still a long way from maturity – ejinsight

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People who fear their work could get replaced soon by artificial intelligence (Al) would be relieved if they go through a banking survey “AI in Banking: The Reality Behind the Hype" released recently by the Financial Times.

人類美好特質與AI共存 – 信報財經新聞, StartUpBeat

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正經歷第四次工業革命。第一次工業革命在18世紀中葉開始，為世界帶來蒸汽動力、鐵路和紡織機械生產。第二次在19世紀末出現，電力普及，工業迅速發展，出現大規模生產。第三次則於上世紀八十年代，隨着電腦和互聯網普及，網絡時代來臨，我有幸躬逢其盛，親身體驗到由紙張地圖一下轉變到以地理資訊系統（GIS）把地圖數碼化的境況，這種改變並非漸進，而是革命式飛躍；今天紙本地圖沒有消失，不過大多已成為收藏品，一如手錶，大多時候是服飾的配件而非時計。