Asia
Dailytimes China eyes artificial intelligence for new cruise missiles
BEIJING: China is eyeing the use of a high level of artificial intelligence and automation for its next generation of cruise missiles, a senior designer was quoted as saying on Friday. "We plan to adopt a'plug and play' approach in the development of new cruise missiles, which will enable our military commanders to tailor-make missiles in accordance with combat conditions," Wang Changqing of the China Aerospace and Industry Corp told the state-run China Daily newspaper. "Moreover, our future cruise missiles will have a very high level of artificial intelligence and automation," Wang added. "They will allow commanders to control them in real time manner, or to use a fire-and-forget mode, or even to add more tasks to in-flight missiles." China is already a global leader in the field of using artificial intelligence in missiles, Wang added, without elaborating.
China eyes artificial intelligence for new cruise missiles
BEIJING: China is eyeing the use of a high level of artificial intelligence and automation for its next generation of cruise missiles, a senior designer was quoted as saying on Friday. "We plan to adopt a'plug and play' approach in the development of new cruise missiles, which will enable our military commanders to tailor-make missiles in accordance with combat conditions," Wang Changqing of the China Aerospace and Industry Corp told the state-run China Daily newspaper. "Moreover, our future cruise missiles will have a very high level of artificial intelligence and automation," Wang added. "They will allow commanders to control them in real time manner, or to use a fire-and-forget mode, or even to add more tasks to in-flight missiles." China is already a global leader in the field of using artificial intelligence in missiles, Wang added, without elaborating.
Applied Materials' (AMAT) CEO Gary Dickerson on Q3 2016 Results - Earnings Call Transcript
Welcome to the Applied Materials Earnings Conference Call. During the presentation, all participants will be in a listen-only mode. Afterwards you will be invited to participate in a question-and-answer session. As a reminder, this conference is being recorded. I'd now like to turn the conference over to Michael Sullivan, Vice President of Investor Relations. In a moment, we'll discuss the results for our third quarter which ended on July 31. Joining me are Gary Dickerson, our President and CEO; and Bob Halliday, our Chief Financial Officer. Before we begin, let me remind you that today's call contains forward-looking statements including Applied's current view of its industries, performance, products, share positions, profitability and business outlook. These statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed or implied by such statements, and are not guarantees of future performance.
Eleven Reasons To Be Excited About The Future of Technology
In the year 1820, a person could expect to live less than 35 years, 94% of the global population lived in extreme poverty, and less that 20% of the population was literate. Today, human life expectancy is over 70 years, less that 10% of the global population lives in extreme poverty, and over 80% of people are literate. These improvements are due mainly to advances in technology, beginning in the industrial age and continuing today in the information age. There are many exciting new technologies that will continue to transform the world and improve human welfare. Here are eleven of them.
Building intelligent applications with deep learning and TensorFlow
Members of Rajat Monga's team at Google will be teaching tutorials on deep learning with TensorFlow at Strata Hadoop World in Beijing (August 4th) and NYC (September 27th). Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the O'Reilly Data Show, I spoke with Rajat Monga, who serves as a director of engineering at Google and manages the TensorFlow engineering team. We talked about how he ended up working on deep learning, the current state of TensorFlow, and the applications of deep learning to products at Google and other companies.