A Quote by Frederick Lenz

Ultimately, thinking is a very inefficient method of processing data. — © Frederick Lenz
Ultimately, thinking is a very inefficient method of processing data.
I'm doing a lot of cognitive processing. I'm gathering research. I'm processing it. I'm arranging the data. I'm sorting out the narrative. I'm designing. It's almost as if I do all the cognitive work that you then don't have to do. I digest it, process it, and then offer something that's very easy for you to digest.
I think audiences ultimately want something new. I think the business model for a franchise is such that it's very low risk because you have data and studios love data.
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
Science is a way of getting knowledge. It's a method. It's a method that really relies on making mistakes. We propose ideas, they are usually wrong, and we test them against the data. Scientists do this in a formal way. It's a way that everyone can go through life; that's how we should be teaching science from a very young age.
In my view, while the single neuron is the basic anatomical and information processing-signaling unit of the brain, it is not capable of generating behaviors and, ultimately, thinking. Instead, the true functional unit of the central nervous system is a population of neurons, or neural ensembles or cell assemblies.
The physicist, in his study of natural phenomena, has two methods of making progress: (1) the method of experiment and observation, and (2) the method of mathematical reasoning. The former is just the collection of selected data; the latter enables one to infer results about experiments that have not been performed. There is no logical reason why the second method should be possible at all, but one has found in practice that it does work and meets with reasonable success.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
The entire brain of the organization is here. The construction drawings and data processing all takes place in Rotterdam.
A basic principle of data processing teaches the folly of trying to maintain independent files in synchonism.
A lot of evidence shows that most of our cognitive processing is unconscious - phenomenal experience is just a very small slice or partition of a much larger space in which mental processing takes place.
Minds think with ideas, not information No amount of data, bandwidth, or processing power can substitute for inspired thought.
It is very difficult to make a vigorous, plausible, and job-risking defense of an estimate that is derived by no quantitative method, supported by little data, and certified chiefly by the hunches of the managers
Antimatter is not a source of energy for us, it's a method of storing energy, compact but inefficient.
An individual's ability to draw is... the ability to shift to a different-from-ordinary way of processing visual information - to shift from verbal, analytic processing to spatial, global processing.
Evolution is fundamentally creative, and when we align ourselves with the evolutionary movements of consciousness, the universe itself puts wind in our sails. Quantum thinking goes beyond the thoughts we're aware of; it includes unconscious processing, which doesn't just expand our boundaries, but can also free us from the suffering that conscious processing (sometimes known as 'the monkey mind') creates.
GIS is being influenced by and integrating with all kinds of new innovations such as faster computing, big data, the cloud, smart devices, and distributed processing.
This site uses cookies to ensure you get the best experience. More info...
Got it!