Elon Musk famously compared the dangers of Artificial Intelligence (AI) to that posed by nuclear; an indication, he said, of the urgent need for regulation of the field. At present, the difficulty of regulating AI as a whole may largely rest in the lack of any one single definition of what artificial intelligence is, which encompasses a wide range of technologies and hence, applications.
Members of the Association of Southeast Asian Nations (ASEAN) form the sixth largest economy in the world valued at US$2.5 trillion with a population of almost 630 million – 40 percent of whom are below the age of 30. Studies have shown that those within this age bracket represent a key demography of the growing landscape of Southeast Asia’s digital economy.
The landscape of an enterprise’s technology infrastructure can either make or break its business. New technologies such as artificial intelligence (AI) can be incorporated into a business to optimize the services it provides to its customers across a constantly increasing number of channels and platforms.Advancements in data collection and aggregation, algorithms, and computer processing power have enabled scientists and engineers to take great strides in developing AI.
The traffic situation in Southeast Asia, as we all know, is famous for all the wrong reasons. Although some countries have taken steps to minimise congestion such as Vietnam’s ban on motorcycles by 2030, and Singapore’s deployment of road tolls and an expensive certificate of entitlement to reduce the number of car ownerships, the traffic situation in the region could still use some help.
Earlier this month, Bloomberg reported that an Artificial Intelligence (AI) model developed by Alibaba took the Stanford University reading and comprehension test. The machine obtained an 82.44 score, beating the best score of 82.30 set by a human for the same test previously. Alibaba claims that this is the first time a machine has edged past humans in such a test. Alibaba’s achievement in this test indicates two things.
Google is deepening its push into China as it seeks an edge in one of technology’s most competitive fields: artificial intelligence.The Alphabet Inc. unit will announce the opening of a new Beijing research facility on Wednesday during its second annual developers conference in Shanghai, the company said.
Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explained that the Fourth industrial revolution builds on the Third industrial revolution which was largely based on the use of electronics and information technology to automate production.Schwab writes that the Fourth industrial revolution “is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres.”According to the World Economic Forum and Asian Devel