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Roland Gesthuizen

LayerWise builds world's first complete lower jaw implant - YouTube - 4 views

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    LayerWise applied Additive Manufacturing (AM) to produce an award-winning Titanium total lower jaw implant reconstruction. To treat a senior patient's progressive osteomyelitis of almost the entire bone, surgeons opted for such a complete implant the first time ever. LayerWise specialists printed the patient-specific implant design incorporating articulated joints and dedicated features. The complex reconstruction has been implanted successfully. It restored the patient's facial esthetics and allowed her to regain her speech within hours. www.layerwise.com
Ian Guest

Ejemplos de diagramas de entornos personales de aprendizaje (PLE) | bokepasa50 - 0 views

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    Never seen so many PLE/PLN diagrams in one place! Interesting to see how different people articulate in diagram form what it means for them.
Syed Amjad Ali

Ready to use templates for quality Elearning courses! - 0 views

New trends, new styles and unique graphics for Elearning templates available for rapid authoring tools; Articulate Storyline, Abode Captivate and Lectora: - Charts and Graphs - Engaging Slides - Gr...

Templates Elearning Articulate Storyline

started by Syed Amjad Ali on 10 Nov 14 no follow-up yet
John Pearce

Apps in Education: How to Design a Beautiful iPad Lesson: - 19 views

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    "This is a beautiful lesson designed and presented by Rob Miller on Scrib. What I really like about this series of activities is that it allows the students or in Rob's case his teachers to articulate their own learning. It is never about a single app. It is the combination of apps that allow the learners to meet the learning outcomes. It is a great example of building a meaningful lesson around a concept and then providing the students with the tools to create content."
VITTA Professional Learning

Rapid E-Learning 101 » The Rapid eLearning Blog - 0 views

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    "Rapid E-Learning 101 If you're just getting started with elearning, this series brings you up-to-speed. You'll learn the basics of rapid elearning and how best to get your project off the ground."
Syed Amjad Ali

Ready to use templates for quality E-Learning courses! - 0 views

New trends, new styles and unique graphics for elearning templates available for rapid authoring tools; Articulate Storyline, Abode Captivate and Lectora: - Charts and Graphs - Engaging Slides - G...

Etemplates in india list of top elearning templates models e-templates for training courses

started by Syed Amjad Ali on 21 Oct 14 no follow-up yet
Aaron Davis

Facebook's war on free will | Technology | The Guardian - 0 views

  • Though Facebook will occasionally talk about the transparency of governments and corporations, what it really wants to advance is the transparency of individuals – or what it has called, at various moments, “radical transparency” or “ultimate transparency”. The theory holds that the sunshine of sharing our intimate details will disinfect the moral mess of our lives. With the looming threat that our embarrassing information will be broadcast, we’ll behave better. And perhaps the ubiquity of incriminating photos and damning revelations will prod us to become more tolerant of one another’s sins. “The days of you having a different image for your work friends or co-workers and for the other people you know are probably coming to an end pretty quickly,” Zuckerberg has said. “Having two identities for yourself is an example of a lack of integrity.”
  • The essence of the algorithm is entirely uncomplicated. The textbooks compare them to recipes – a series of precise steps that can be followed mindlessly. This is different from equations, which have one correct result. Algorithms merely capture the process for solving a problem and say nothing about where those steps ultimately lead.
  • For the first decades of computing, the term “algorithm” wasn’t much mentioned. But as computer science departments began sprouting across campuses in the 60s, the term acquired a new cachet. Its vogue was the product of status anxiety. Programmers, especially in the academy, were anxious to show that they weren’t mere technicians. They began to describe their work as algorithmic, in part because it tied them to one of the greatest of all mathematicians – the Persian polymath Muhammad ibn Musa al-Khwarizmi, or as he was known in Latin, Algoritmi. During the 12th century, translations of al-Khwarizmi introduced Arabic numerals to the west; his treatises pioneered algebra and trigonometry. By describing the algorithm as the fundamental element of programming, the computer scientists were attaching themselves to a grand history. It was a savvy piece of name-dropping: See, we’re not arriviste, we’re working with abstractions and theories, just like the mathematicians!
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  • The 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 it.
  • Nobody better articulates the modern faith in engineering’s power to transform society than Zuckerberg. He told a group of software developers, “You know, I’m an engineer, and I think a key part of the engineering mindset is this hope and this belief that you can take any system that’s out there and make it much, much better than it is today. Anything, whether it’s hardware or software, a company, a developer ecosystem – you can take anything and make it much, much better.” The world will improve, if only Zuckerberg’s reason can prevail – and it will.
  • Data, like victims of torture, tells its interrogator what it wants to hear.
  • Very soon, they will guide self-driving cars and pinpoint cancers growing in our innards. But to do all these things, algorithms are constantly taking our measure. They make decisions about us and on our behalf. The problem is that when we outsource thinking to machines, we are really outsourcing thinking to the organisations that run the machines.
  • The engineering mindset has little patience for the fetishisation of words and images, for the mystique of art, for moral complexity or emotional expression. It views humans as data, components of systems, abstractions. That’s why Facebook has so few qualms about performing rampant experiments on its users. The whole effort is to make human beings predictable – to anticipate their behaviour, which makes them easier to manipulate. With this sort of cold-blooded thinking, so divorced from the contingency and mystery of human life, it’s easy to see how long-standing values begin to seem like an annoyance – why a concept such as privacy would carry so little weight in the engineer’s calculus, why the inefficiencies of publishing and journalism seem so imminently disruptable
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    via Aaron Davis
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