You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people's lives, both good and bad, without any checks and balances.

I can actually build my equipment at the back end of the telescope such that it takes the data from all of the separate antennas and adds the signal together with different time delays and different phase shifts - it's as if I were picking out up to eight individual pixels in this large field of view.

Computer science only indicates the retrospective omnipotence of our technologies. In other words, an infinite capacity to process data (but only data -- i.e. the already given) and in no sense a new vision. With that science, we are entering an era of exhaustivity, which is also an era of exhaustion.

We will ultimately live in a perpetual data-driven talent edition. Everything you create will be measured and tracked by others through comments, share, and likes. Your work will come up on the radar of potential employers and clients, and the data will tell them if you are worth talking to or hiring.

It was unthinkable not long ago that a biologist or paleontologist would be at the same conference as an astrophysicist. Now we have accumulated so much data in each of these branches of science as it relates to origins that we have learned that no one discipline can answer questions of origins alone.

When I got out of undergrad, I had a degree in theater and telecommunications. My first job, I was a news reporter for the local stories for NPR. Then I was a country-western DJ. I did data entry for a yearbook company. In my mid-20s I went back to grad school at NYU, and I specialized in playwriting.

Advertisers don't want to be ignored, and they are drunk on our data, which is what Google and other large networks are really selling. The ads are almost a by-product; what companies really want to know is what antiperspirant a woman of 25-34 is most likely to purchase after watching 'House of Cards.'

Traditionally, when you talk to people who have Parkinson's or Alzheimer's, they'll talk about how they're in five or six studies, and they've been sequenced by each study. That's just fat in the system. Just have a single data set that then you can share. You can make the entire system more efficient.

People automatically assume and expect that every moment and every bit of personal data should be broadcasted on social media, especially as it relates to them - and thats just not cuttin' it for me. If you can make it through the age of social media and come out with the same friends and lover, kudos!

If you have a temperature rise, if it's a problem in one area, it's beneficial in another area. But sea level is the real 'bad guy,' and therefore they [The IPCC] have talked very much about it. But the real thing is, that [sea level rise] doesn't exist in observational data, only in computer modeling.

Emphasize your strengths on your resume, in your cover letters and in your interviews. It may sound obvious, but you'd be surprised how many people simply list everything they've ever done. Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data.

That's when the vast consensus of the world's climatologists, brought together by the UN and The Intergovernmental Panel on Climate Change, really announced that this was going on, and since then the accumulation of data and wickedly hot years has served to only congeal that consensus much more firmly.

Bitcoin is a peer-to-peer, decentralized form of money, as durable as the Internet itself. Remember, the Internet - or DARPA, as it was originally called - was created as a fail-safe, global network with no 'single point of failure.' If one part goes down, data takes another route, and nothing is lost.

You have all this education theory, and people try to make larger statements than maybe what their data would back up, because they've done these small experiments that are tied to a very particular case with a very particular implementation... theory definitely matters, but I think dogma matters less.

Cloud computing, smartphones, social media platforms, and Internet of Things devices have already transformed how we communicate, work, shop, and socialize. These technologies gather unprecedented data streams leading to formidable challenges around privacy, profiling, manipulation, and personal safety.

We can look back through ice-core data and see over 800,000 years, relationships between carbon dioxide and the temperature of the world. So those people who deny the importance of climate change are just wasting their time. They're also being diversionary because if we don't act the risks are enormous.

The reason Donald Trump was elected was that we automated away four million manufacturing jobs in Michigan, Ohio, Pennsylvania, and Wisconsin. If you look at the voter data, it shows that the higher the level of concentration of manufacturing robots in a district, the more that district voted for Trump.

Some of the traits that make you a great entrepreneur also work against you. Examining data of high-scoring people, we find that oftentimes the world frustrates them: They're super-smart, they're super-capable, and the work quality of their peers is vastly inferior to what they can achieve on their own.

Morphological information has provided the greatest single source of data in the formulation and development of the theory of evolution and that even now, when the preponderance of work is experimental, the basis for interpretation in many areas of study remains the form and relationships of structures.

The Carmen Electra cards give me another way to connect with my fans while providing them the ability to enjoy the convenience of shopping or paying bills with ease -- online and offline, ... Payment Data Systems is the perfect partner for me because of the capabilities the company already has in place.

We urgently need more due process with the algorithmic systems influencing our lives. If you are given a score that jeopardizes your ability to get a job, housing, or education, you should have the right to see that data, know how it was generated, and be able to correct errors and contest the decision.

If you go back back a few hundred years, what we take for granted today would seem like magic - being able to talk to people over long distances, to transmit images, flying, accessing vast amounts of data like an oracle. These are all things that would have been considered magic a few hundred years ago.

Advertising isn't just the disruption of aesthetics, the insults to your intelligence and the interruption of your train of thought. At every company that sells ads, a significant portion of their engineering team spends their day tuning data mining, writing better code to collect all your personal data.

I actually worry that we're so mindlessly following the herd on privacy and data being the principle concerns when the actual things that are affecting the felt sense of your life and where your time goes, where your attention goes, where democracy goes, where teen mental health goes, where outrage goes.

I personally think honestly disclosing rather than hiding ones subjective values makes for more honest and trustworthy journalism. But no journalism - from the most stylistically objective to the most brazenly opinionated - has any real value unless it is grounded in facts, evidence, and verifiable data.

It's for scientists to lay out the data and lay out what they think, and then it's for the public to make up its own mind. We don't live in a priesthood where some small group imposes its views on other people - that's not the way that science works, and it's not the way a democratic society should work.

My central thesis is that combining increased temporal and spatial resolution in MRI techniques with increasingly powerful data correlation techniques will allow the derivation of interpreted meanings from neural signals. I observed, further, that the techniques that exist already allow some correlations.

The approach we try to take here [Morris's Institute for Creation Research] is to assume that the word of God is the word of God and that God is able to say what He means and means what He says, and that's in the Bible and that is our basis. And then we interpret the scientific data within that framework.

You don't just wake up one day with dementia or Alzheimer's; these conditions are developmental. Even when a problem triggers the need to collect data, it's reviewed by a specialist and filed away. There's no central repository allowing information to be shared across a multitude of researchers worldwide.

Artificial intelligence is just a new tool, one that can be used for good and for bad purposes and one that comes with new dangers and downsides as well. We know already that although machine learning has huge potential, data sets with ingrained biases will produce biased results - garbage in, garbage out.

We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out picture is clear and accurate. But is it?

And I think the greatest danger that AI poses isn't so much these anthropomorphic beings who look like us and are beguiling are going to fool us. It's the fact that a intelligence without a body or corporeal form will fool us into trusting it with data, which we seem to think is... it has no repercussions.

The use of drones is rapidly transforming the way we go to war. On the battlefield, a squad leader can receive real-time data from a drone that enables him to view the landscape for miles in every direction, dramatically expanding the capabilities of what would normally have been a small and isolated unit.

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.

On Amazon, you find retailers that want Amazon to do part of their services. Those, you don't find to the same degree on Google Shopping. On Google Shopping, you find sort of the bigger brands, those who want to have the customer relationship themselves - the data, the payment details, the search patterns.

The Trump campaign generally does not respond at all to my requests for information - either requests for broader data on Trump's charitable giving or narrow requests for information about specific subjects, like the $20,000 portrait of himself that Trump seems to have purchased with money from his charity.

An important finding is that by determining the genome sequences of an entire family, one can identify many DNA sequencing errors and thus greatly increase the accuracy of the data. This will ultimately help us understand the role of genetic variations in the diagnosis, treatment, and prevention of disease.

Marketers use big data profiling to predict who is about to get pregnant, who is likely to buy a new car, and who is about to change sexual orientations. That's how they know what ads to send to whom. The NSA, meanwhile, wants to know who is likely to commit an act of terrorism - and for this, they need us.

Google, Amazon, Apple. Any number of cloud providers and computer service providers who can increasingly limit your access to your own information, control all your processing, take away your data if they want to, and observe everything you do; in a way, that does give them some leverage over your own life.

I personally think honestly disclosing rather than hiding one's subjective values makes for more honest and trustworthy journalism. But no journalism - from the most stylistically 'objective' to the most brazenly opinionated - has any real value unless it is grounded in facts, evidence, and verifiable data.

The era during which only governments could put hardware on the Moon is coming to an end. There are 26 private teams competing for the $30 million Google Lunar X-Prize - to be awarded for sending a robotic spacecraft to this nearby world that can roam at least 500 meters, and send back data such as a photo.

Paleontologists [fossil experts] have paid an exorbitant price for Darwin's argument. We fancy ourselves as the only true students of life's history, yet to preserve our favored account of evolution by natural selection we view our data as so bad that we almost never see the very process we profess to study.

Facebook's data trove is enviable, and its moves into nearly every aspect of our lives - from payment to media, will create even more of it. The company also has created a huge base of developers for its platform, but the ecosystem is incomplete compared to vertically integrated OSes like iOS, Mac or Windows.

We Facebook users have been building a treasure lode of big data that government and corporate researchers have been mining to predict and influence what we buy and for whom we vote. We have been handing over to them vast quantities of information about ourselves and our friends, loved ones and acquaintances.

In fact, The Party has provided so much of the ground game and field operation and data operation to supplement what we already had, when I got here, and what we're building on, that we literally are doing it with them, in these swing states. The RNC is the party. And the RNC is also helping these candidates.

Everyone knows, or should know, that everything we type on our computers or say into our cell phones is being disseminated throughout the datasphere. And most of it is recorded and parsed by big data servers. Why do you think Gmail and Facebook are free? You think they're corporate gifts? We pay with our data.

Many Android users aren't aware of some the things that Android can already do such as supporting the enforcement of companywide security policies, encrypting phone data and providing e-mail and calendar widgets that update in real-time. Our job is to help people and businesses discover and use these features.

Real anatomy exists in three dimensions, so any time you can view anatomical data in 3D, you'll have a much more accurate picture of the subject, ... Even multiple two-dimensional CT slices can never allow you to understand a subject's dental condition as quickly or as accurately as a quality 3D visualization.

Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.

We're putting more carbon into the atmosphere than the atmosphere can absorb. And everybody told us when we started, coz we knew nothing when we started - we still don't know very much - but everybody told us 'this is crazy, you don't use a scientific data point, it's a number, people don't respond to numbers'.

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