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Category: computing – Page 815

Nice.

Crocus Technology, a leading developer of Tunneling Magnetoresistive Sensors (TMR) based on proprietary and patented Magnetic Logic Unit (MLU) technology, announces the availability of the CT51x digital switch, the first in a series of fully integrated digital sensors the company has launched. This family of devices accommodates a wide range of applications with larger air gaps, smaller magnetic fields, and significantly lower power consumption. The CT51x enables high-accuracy position detection, control and power switching functions with high sensitivity and reliability that system designers demand for the IoT, consumer and industrial applications.

“With ever increasing demand for intelligent sensing in smart products, the CT51x family of devices offers design-in flexibility and cost-savings for existing and emerging applications: IoT, wearables, appliances, smart meters, intelligent smart locks and other consumer products,” said Zack Deiri, Chief Sales and Marketing Officer at Crocus Technology. “The market is gravitating towards intelligent solid-state magnetic switches that provide higher reliability, faster frequency response, and extremely low power consumption for battery-powered applications in a smaller form factor, such as the CT51x.”

When used as a proximity switch, the CT51x can detect window or door movement in intrusion alarm systems and appliances. The digital switch can also activate wake-up and sleep modes in mobile devices such as laptops with lid open/closed detection with extremely low power consumption. The CT51x also measures rotation speed in battery-powered smart flow meters and can act as a safeguard against tampering in smart utility meters where annual losses surpass a billion dollars.

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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?

In order to understand working mechanism of a quantum computer, it’s preferable to recollect some general basics of quantum systems.

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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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