A Quote by Reed Hundt

We need a data network that can easily carry voice, instead of what we have today, a voice network struggling to carry data. — © Reed Hundt
We need a data network that can easily carry voice, instead of what we have today, a voice network struggling to carry data.
As the number of things connected to the global network increases - from data, voice, video, and smart devices to new breeds of applications - the opportunities to realize much greater value from networked connections also increase exponentially.
As a matter of fact, when compression technology came along, we thought the future in 1996 was about voice. We got it wrong. It is about voice, video, and data, and that is what we have today on these cell phones.
As a filmmaker, I really want to utilize the tools to carry the voice - my voice, and the voice of the characters.
The purpose of the Filecoin currency is to create a fungible token that can be spent to hire the miner network to store files. The first and foremost use of the currency is precisely this: locking it up as a reward to miners who successfully store data on the network.
Data and data sets are not objective; they are creations of human design. We give numbers their voice, draw inferences from them, and define their meaning through our interpretations.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
I found myself in network always trying to play catch up because once things get going there's no time to fix this and that. And also the writing, it was more inclined to be by committee in network which drowns out the purity and the voice of the show.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Finding one's voice - or creating a narrative voice that has the power to carry your story - is the hardest part.
If we study learning as a data science, we can reverse engineer the human brain and tailor learning techniques to maximize the chances of student success. This is the biggest revolution that could happen in education, turning it into a data-driven science, and not such a medieval set of rumors professors tend to carry on.
I'll carry on, carry over, carry forward, Cary Grant, cash and carry, carry me back to Old Virginia, I'll even 'hari-kari' if you show me how, but I will not carry a gun!
If you pass a lot of data through a teeny network, like 20 neurons, it'll do what it can, but it's not going to be very good.
A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily seen every day: quirks and changes that, eventually, add up to insights.
Vaughan Telecom installers and contractors ensure the highest quality service for data and network cabling in Toronto and GTA area.
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