Finally, your pet can go to work for you.
The brain-computer interface is already being tested in humans with Lou Gehrig’s disease.
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Category: computing – Page 777
Hmmmm; I suggest that “Kate” needs to follow up with the research teams at the University of Sydney, MIT, ORNL, and University of China who have already proven and shared insights and techniques to stabilize QC, make it scalable (as we are already seeing Google leverage), and trace particles throughout entanglement. I really do not like ready articles that misleads the public because the author was lazy in not doing their own research and homework on their topics.
Today I’d like to speak about quantum computers and to share my ideas of their purpose in the nearest future. As you know, applying the laws of quantum mechanics it’s actually possible to create a new type of computing machine, enabling to solve some of the issues, being currently unable to resolve even upon the use of the most powerful machines. As a result, the speed of major complex computations will significantly increase, for instance, the messages sent via quantum coupling lines will be impossible to capture or to copy. Sounds quite fantastic, isn’t it? Furthermore, today we already have working prototypes of future quantum computers. So, let’s consider this topic more precisely.
How does quantum computer work?
NASA researchers reveal how today’s airlines can save over $250 billion by incorporating their green related technologies.
Green-related technologies developed by NASA could be the key to airlines saving over $250 billion dollars. “If these technologies start finding their way into the airline fleet, our computer models show the economic impact could amount to $255 billion in operational savings between 2025 and 2050,” said Jaiwon Shin, NASA’s associate administrator for aeronautics research, in a recent press release.
For the past six years, NASA’s aeronautics researchers have been working on the Environmentally Responsible Aviation (ERA) project, which sees airlines cutting fuel use in half, pollution by a quarter, and putting noise down to just an eighth of today’s current levels.
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Whether you believe the buzz about artificial intelligence is merely hype or that the technology represents the future, something undeniable is happening. Researchers are more easily solving decades-long problems like teaching computers to recognize images and understanding speech at a rapid space, and companies like Google goog and Facebook fb are pouring millions of dollars into their own related projects.
What could possibly go wrong?
For one thing, advances in artificial intelligence could eventually lead to unforeseen consequences. University of California at Berkeley professor Stuart Russell is concerned that powerful computers powered by artificial intelligence, or AI, could unintentionally create problems that humans cannot predict.
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Google has announced WaveNet, a speech synthesis program that uses AI and deep learning techniques to generate speech samples better than current technologies. By analyzing samples 16,000 a second, it can generate human-like speech and even its own music compositions.
If you’ve ever been lost in the maze of Youtube videos you may have stumbled on clips of computers reading news articles. You’d recognize that staccato, robotic nature of the voice. We’ve come a long way from “Danger! Will Robinson!,” but it there is yet to be a computer that can seamlessly mimic a human voice.
Now, there’s a new contender, brought to you by the brilliant minds behind DeepMind. Google has announced a new voice synthesis program in WaveNet, powered by deep neural AI.
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Google’s DeepMind unit, which is working to develop super-intelligent computers, has created a system for machine-generated speech that it says outperforms existing technology by 50 percent.
U.K.-based DeepMind, which Google acquired for about 400 million pounds ($533 million) in 2014, developed an artificial intelligence called WaveNet that can mimic human speech by learning how to form the individual sound waves a human voice creates, it said in a blog post Friday. In blind tests for U.S. English and Mandarin Chinese, human listeners found WaveNet-generated speech sounded more natural than that created with any of Google’s existing text-to-speech programs, which are based on different technologies. WaveNet still underperformed recordings of actual human speech.
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Scientists at the University of Wisconsin-Madison have shown for the first time that transistors fashioned out of carbon nanotubes are actually twice as efficient as regular silicon varieties. This comes after decades of research regarding how carbon nanotubes can be used to design the next generation of computers. Speaking about the breakthrough, recently published in the Science Advances journal, Michael Arnold, a member of the team, said:
Making carbon nanotube transistors that are better than silicon transistors is a big milestone. This achievement has been a dream of nanotechnology for the last 20 years.
Since its discovery back in 1991, these one-atom-thick carbon tubes have been the focus of much scientific research. Its incredibly unique properties, experts believe, could pave the way for more efficient computing devices that at the same time consume significantly less power. Measuring nearly 50,000 times smaller than the width of a single human hair, this wonder material is made up of hexagonally arranged carbon atoms.
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