A Quote by Tan Le

Our understanding of the human brain can be dramatically accelerated if we collect and share research data on an exponentially wider scale. — © Tan Le
Our understanding of the human brain can be dramatically accelerated if we collect and share research data on an exponentially wider scale.
Sharing data allows us to research, communicate, consume media, buy and sell, play games, and more. In return, businesses develop products, scientists undertake research, and governments use data to enable voting, inform policies, collect tax, and provide better public services.
Scientists do not collect data randomly and utterly comprehensively. The data they collect are only those that they consider *relevant* to some hypothesis or theory.
I'm repledging myself to human-scale values. As a fiction writer, the best data comes through the senses and is then processed through many revisions. We have to learn to be intelligent assessors of the data coming in to us and what it's doing to our mental process.
The premise and promise of Big Data is that there are no stories, only patterns; that the human preference for story is aligned with the human tendency for error; and that only through dislocations in scale - the scale of sample size and of time - will truth emerge.
The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.
Scientific knowledge is, by its nature, provisional. This is due to the fact that as time goes on, with the invention of better instruments, more data and better data hone our understanding further. Social, cultural, economic, and political context are relevant to our understanding of how science works.
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.
Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.
Research is an expression of faith in the possibility of progress. The drive that leads scholars to study a topic has to include the belief that new things can be discovered, that newer can be better, and that greater depth of understanding is achievable. Research, especially academic research, is a form of optimism about the human condition.
The last 100 years of research into the human brain...sees the brain as an organ that works by physical principles just like the other organs in the body...our emotions and higher callings, such as religion, as well as our grubby low-level physical systems like stereo vision and motor control, are products of a machine.
We are at a point in human evolution when human solidarity on a global scale is absolutely vital for the survival of the human species. That means understanding that ... we are all co-inhabitants of this planet.
Listening to the data is important... but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds filtered through a human brain rather than a math model?
Fifty million Americans have dementia and other brain illnesses. To gather together the minds that exist and see how we can tackle these ailments together, that is the work that is in front of us: to have a map of the human brain, an understanding of the roadways, and an understanding of the traffic on the roadways.
The power of human thought grows exponentially with the number of minds that share that thought.
A meticulous virtual copy of the human brain would enable basic research on brain cells and circuits or computer-based drug trials.
From the growth of the Internet through to the mapping of the human genome and our understanding of the human brain, the more we understand, the more there seems to be for us to explore.
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