Taiwan Sees Clouds in Its Forecast

The nation plans to invest hundreds of millions to seed cloud-computing efforts

2 min read

Think Taiwan and you think manufacturing, not services. But the island's government wants to change that. Taiwan plans to invest NT $24 billion (US $744 million) in the development of cloud-computing technology and services over the next five years. The government predicts that the cloud-computing sector will be worth US $31 billion globally by 2014 and wants its industry to get involved now in order to get a piece of it. Cloud computing uses the Internet and remote servers to store data and run applications for devices such as computers and smartphones.

"We should take advantage of Taiwan's strong information and communications technology industry, further upgrading it in order to seize business opportunities involving cloud-computing technology," Premier Den-yih Wu told reporters in April. Officials said that the development of the technology would help push integration among the hardware, software, and service industries, so that eventually Taiwan would be able to export cloud services.

Keep Reading ↓ Show less

Stay ahead of the latest trends in technology. Become an IEEE member.

This article is for IEEE members only. Join the world’s largest professional organization devoted to engineering and applied sciences and get access to all of Spectrum’s articles, podcasts, and special reports. Learn more →

Membership includes:

  • Get unlimited access to IEEE Spectrum content
  • Follow your favorite topics to create a personalized feed of IEEE Spectrum content
  • Save Spectrum articles to read later
  • Network with other technology professionals
  • Establish a professional profile
  • Create a group to share and collaborate on projects
  • Discover IEEE events and activities
  • Join and participate in discussions

The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

10 min read

This computer rendering depicts the pattern on a photonic chip that the author and his colleagues have devised for performing neural-network calculations using light.

Alexander Sludds

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

The technique that has empowered these stunning developments is called deep learning, a term that refers to mathematical models known as artificial neural networks. Deep learning is a subfield of machine learning, a branch of computer science based on fitting complex models to data.

Keep Reading ↓ Show less