31 OCT 2018 by ideonexus

 Bumper Sticker Computer Science

A few of my favorites, not found in the linked article: "There are two ways of constructing software. One way is to make it so simple that there are obviously no deficiencies. The other is to make it so complex that there are no obvious deficiencies." C.A.R. Hoare "The purpose of software engineering is to control complexity, not to create it." Dr. Pamela Zave "The most important single aspect of software development is to be clear about what you are trying to build." Bjarne Stroustrup "T...
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22 SEP 2017 by ideonexus

 Algorithms are Subjective/Creative Things

he algorithm may be the essence of computer science – but it’s not precisely a scientific concept. An algorithm is a system, like plumbing or a military chain of command. It takes knowhow, calculation and creativity to make a system work properly. But some systems, like some armies, are much more reliable than others. A system is a human artefact, not a mathematical truism. The origins of the algorithm are unmistakably human, but human fallibility isn’t a quality that we associate with ...
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22 SEP 2017 by ideonexus

 Outsourcing our Thinking to Algorithms and Those Who Engi...

...even as an algorithm mindlessly implements its procedures – and even as it learns to see new patterns in the data – it reflects the minds of its creators, the motives of its trainers. Amazon and Netflix use algorithms to make recommendations about books and films. (One-third of purchases on Amazon come from these recommendations.) These algorithms seek to understand our tastes, and the tastes of like-minded consumers of culture. Yet the algorithms make fundamentally different recommend...
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10 MAR 2017 by ideonexus

 Creative and Social Intelligence are Computational Bottle...

Our model predicts that the second wave of computerisation will mainly depend on overcoming the engineering bottlenecks related to creative and social intelligence. As reported in Table III, the “fine arts”, “originality”, “negotiation”, “persuasion”, “social perceptiveness”, and “assisting and caring for others”, variables, all exhibit relatively high values in the low risk category. By contrast, we note that the “manual dexterity”, “finger dexterity” and “c...
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Generalist skills, like management, are hard to automate. Could everyone therefore become a manager of an automatized field?

17 AUG 2016 by ideonexus

 Ways of Being "Good at Math"

It’s a common misconception that someone who’s good at math is someone who can compute quickly and accurately. But mathematics is a broad discipline, and there are many ways to be smart in math. Some students are good at seeing relationships among numbers, quantities, or objects. Others may be creative problem solvers, able to come up with nonroutine ways to approach an unfamiliar problem. Still others may be good at visually representing relationships or problems or translating from one ...
Folksonomies: education mathematics
Folksonomies: education mathematics
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01 MAR 2016 by ideonexus

 "Intelligent" Holds "Paranormal" Connotations

As soon as AI successfully solves a problem, the problem is no longer a part of AI. Pamela McCorduck calls it an "odd paradox," that "practical AI successes, computational programs that actually achieved intelligent behavior, were soon assimilated into whatever application domain they were found to be useful in, and became silent partners alongside other problem-solving approaches, which left AI researchers to deal only with the "failures," the tough nuts that couldn't yet be cracked."[3]
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"Interesting. Seems similar to the notion that "paranormal" things become "normal" once there are scientific explanations for them."

Also: God of the gaps.