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Artificial intelligence
Opinion
Ecaterina Bigos

Macroscope | How AI’s rise could be boon for manufacturing and healthcare sectors in Asia

  • Asia stands to benefit from each stage of AI development given its advantages in manufacturing components and putting them into use
  • With the adoption and investment in AI set to continue to rise in Asia, the technology has the potential to transform the regional economy

Reading Time:3 minutes
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A technician sets up Dinsaw robots designed for healthcare and service businesses at CT Asia Robotics in Bangkok on July 24. The Dinsaw Mini 3 combines three artificial intelligence which can communicate with people, such as by offering medication reminders, and alert health emergencies to carers in case of unusual activity. Photo: EPA-EFE
Robust year-to-date performance has pushed the technology sector firmly back into the limelight. Arguably the main driver behind this has been the intense focus on artificial intelligence (AI), chiefly spurred on by the launch of ChatGPT in November 2022, a chat interface built by OpenAI which allows the public to interact with its AI model.
The introduction of the conversational engine created a groundswell of interest in generative AI. Even though the technology is not new, its potential remains a mystery to many.

The roots of AI date back to British mathematician Alan Turing’s 1950 paper, “Computing Machinery and Intelligence”. The 1956 Dartmouth Summer Research Project on Artificial Intelligence was a seminal event at which the term “artificial intelligence” was coined.

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AI refers to a computer’s capability to think and learn, carrying out tasks and mimicking cognitive functions usually associated with humans. Familiar 21st century AI developments are virtual assistants such as Amazon’s Alexa or Apple’s Siri, which are subsets of machine learning, where neural networks attempt to simulate human knowledge acquisition.

It involves training models to make predictions based on data. But it is generative AI, which can produce a vast array of content including text, images and videos – and led by applications such as Dall-E and ChatGPT – that is creating the current buzz.

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A few key factors have led to the latest AI breakthroughs: an increasing pool of available data to train the models, access to vastly improved cloud and mobile storage and advances in raw computing power to scan massive amounts of data.

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