Quotes About Algorithms

Because they have been designed to keep you online, the algorithms also favor emotions, especially anger and fear. And because the sites are addictive, they affect people in ways they don't expect. Anger becomes a habit. Divisiveness becomes normal.

algorithms also favor emotions, especially anger and fear. And because the sites are addictive, they affect people in ways they don't expect. Anger becomes a habit. Divisiveness becomes normal.

When designing algorithms as a business owner, your incentive is your profit, something for your business, it's not an incentive to maximise something for the individual.

I grew up as a computer scientist, and I've always been fascinated by algorithms.

I decry the current tendency to seek patents on algorithms. There are better ways to earn a living than to prevent other people from making use of one's contributions to computer science.

public class MergeBU { private static Comparable[] aux; // auxiliary array for merges // See page 271 for merge() code. public static void sort(Comparable[] a) { // Do lg N passes of pairwise merges. int N = a.length; aux = new Comparable[N]; for (int sz = 1; sz < N; sz = sz+sz) // sz: subarray size for (int lo = 0; lo < N-sz; lo += sz+sz) // lo: subarray index merge(a, lo, lo+sz-1, Math.min(lo+sz+sz-1, N-1)); } }

Mistakes, on the other hand, result from incorrect choices. Rather than blundering into them while we are distracted, we usually make mistakes because of insufficient knowledge, lack of experience or training, inadequate information (or inability to interpret available information properly), or applying the wrong set of rules or algorithms to a decision

today, this attitude—condemn more, understand less—has become the default response of almost everyone, from the right to the left, as we spend our lives dancing to the tune of algorithms that reward fury and penalize mercy.

After studying all the hidden data—the stuff that Facebook doesn't release to the public—the company's scientists reached a definite conclusion. They wrote: "Our algorithms exploit the human brain's attraction to divisiveness," and "if left unchecked," the site would continue to pump its users with "more and more divisive content in an effort to gain user attention and increase time on the platform.

At the same time, we are hard at work constructing intimacy with algorithms, from our willingness to play along with Siri to the things we type into search bars when we think nobody is looking.

As the border between physical and digital gets more permeable, a new kind of literacy emerges. And that literacy is built on a foundation of code - whether it's the codes of letters and words, or the code of bits and algorithms.

The problem with Google is you have 360 degrees of omnidirectional information on a linear basis, but the algorithms for irony and ambiguity are not there. And those are the algorithms of wisdom.

The evolutionary algorithms that mimic biological evolution are powerful tools, but they're still missing something. They are still deficient in the recombination department so central to biological innovations.31 Nature is better at recombination, much better, for one simple reason: standards.

All programs transform data, converting an input into an output. And yet when we think about design, we rarely think about creating transformations. Instead we worry about classes and modules, data structures and algorithms, languages and frameworks.

Nothing is more wonderful about human beings than their ability to abstract, infer, calculate, and produce rules, algorithms, and tables that enable them to work marvels.

Imagine life without any algorithms at all, you wouldn't be able to do anything. This is already completely encompassing. We have a habit of over-trusting what mathematics or computer scientists tell us to do, without questioning it, too much faith in the magical power of analysis.

So much of the language that surrounds us - from things like economics, management theory, and the algorithms built into computer systems - appears to be objective and neutral. But in fact, it is loaded with powerful, and very debatable, political assumptions about how society should work and what human beings are really like.

The linear-programming was - and is - perhaps the single most important real-life problem.

We are leaving behind a universe of forms determined by exactly repeatable, visible imprints and moving toward a new visual environment dominated by exactly transmissible but invisible algorithms.

Al-Kindi's technique, known as frequency analysis, shows that it is unnecessary to check each of the billions of potential keys. Instead, it is possible to reveal the contents of a scrambled message simply by analysing the frequency of the characters in the ciphertext.

Any computing machine that is to solve a complex mathematical problem must be 'programmed' for this task. This means that the complex operation of solving that problem must be replaced by a combination of the basic operations of the machine.

I want to talk about privacy, the quality of the information you receive, whether it's neutral or commercial or pointed, bringing consciousness to the lack of neutrality in the algorithms.

To understand the limits and opportunities of algorithms in the context of artistic creation, we need to understand that the latter usually consists of three elements: discovery, production, and recommendation.

In the absence of algorithms and evidence about what to do, you learn in medicine to make decisions by feel.