Skip to main content

Home/ science/ Group items tagged Computer Science

Rss Feed Group items tagged

Erich Feldmeier

Science: It's a Girl Thing ! - YouTube - 0 views

  •  
    "This Disgraceful video was published by the European Commission for a campaign designed to attract more women to a career in science. The commission said that the video had to "speak their language to get their attention" and that it was intended to be "fun, catchy" and strike a chord with young people. "I would encourage everyone to have a look at the wider campaign and the many videos already online of female researchers talking about their jobs and lives," The original video was taken down after it received so many negative comments. "
Janos Haits

Stephen Wolfram: A New Kind of Science - 0 views

  •  
    the official website of Stephen Wolfram's A New Kind of Science
Skeptical Debunker

We're so good at medical studies that most of them are wrong - 0 views

  • Statistical validation of results, as Shaffer described it, simply involves testing the null hypothesis: that the pattern you detect in your data occurs at random. If you can reject the null hypothesis—and science and medicine have settled on rejecting it when there's only a five percent or less chance that it occurred at random—then you accept that your actual finding is significant. The problem now is that we're rapidly expanding our ability to do tests. Various speakers pointed to data sources as diverse as gene expression chips and the Sloan Digital Sky Survey, which provide tens of thousands of individual data points to analyze. At the same time, the growth of computing power has meant that we can ask many questions of these large data sets at once, and each one of these tests increases the prospects than an error will occur in a study; as Shaffer put it, "every decision increases your error prospects." She pointed out that dividing data into subgroups, which can often identify susceptible subpopulations, is also a decision, and increases the chances of a spurious error. Smaller populations are also more prone to random associations. In the end, Young noted, by the time you reach 61 tests, there's a 95 percent chance that you'll get a significant result at random. And, let's face it—researchers want to see a significant result, so there's a strong, unintentional bias towards trying different tests until something pops out. Young went on to describe a study, published in JAMA, that was a multiple testing train wreck: exposures to 275 chemicals were considered, 32 health outcomes were tracked, and 10 demographic variables were used as controls. That was about 8,800 different tests, and as many as 9 million ways of looking at the data once the demographics were considered.
  •  
    It's possible to get the mental equivalent of whiplash from the latest medical findings, as risk factors are identified one year and exonerated the next. According to a panel at the American Association for the Advancement of Science, this isn't a failure of medical research; it's a failure of statistics, and one that is becoming more common in fields ranging from genomics to astronomy. The problem is that our statistical tools for evaluating the probability of error haven't kept pace with our own successes, in the form of our ability to obtain massive data sets and perform multiple tests on them. Even given a low tolerance for error, the sheer number of tests performed ensures that some of them will produce erroneous results at random.
Janos Haits

gimli.cse.lehigh.edu - 0 views

  •  
    gimli is a web host server used by the SWAT research group in the Computer Science and Engineering department at Lehigh University in Bethlehem, PA. gimli is host to a number of virtual web servers and services.  Services hosted on this machine include:
Janos Haits

CodeHS - 0 views

  •  
    The Best Online Computer Science Class for High Schools.
Erich Feldmeier

Ausgedrucktes Essen: Nasa arbeitet an der Pizza aus dem 3D-Drucker - SPIEGEL ONLINE - 0 views

  •  
    "Gedrucktes Essen: Algen, Gras und Insekten als Nährstofflieferanten Bis jetzt ist es nicht viel mehr als ein interessantes Konzept, aber der Nasa ist es immerhin 125.000 Dollar wert. So viel investiert die amerikanische Raumfahrtbehörde in die Entwicklung eines 3-D-Druckers für Lebensmittel. Dabei geht es weniger um die Realisierung von Science-Fiction-Visionen wie dem Replikator aus "Star Trek". Vielmehr stellt sich mit Blick auf künftig geplante Langzeitmissionen zum Mars die Frage nach der Lebensmittelversorgung der Astronauten. Der Entwurf des Nasa-Partners Systems & Materials Research Corporation (SMRC) sieht dabei vor, dass ein 3-D-Drucker die verschiedenen Bestandteile menschlicher Ernährung in pulverisierter, lagerfähiger Form verarbeitet. Zucker, Proteine und Kohlenhydrate würden dann je nach zuvor vom Computer geladenen "Rezept" zusammengestellt und tellerfertig produziert. Die ersten Entwürfe für das Astronautenessen der Zukunft sehen allerdings noch etwas fremdartig aus und erinnern ein wenig an Hundekuchen. Hinter SMRC steht Anjan Contractor, ein Ingenieur mit einiger Erfahrung im Bereich des dreidimensionalen Druckens. In den kommenden Wochen will er sich zunächst an die Umsetzung eines vergleichsweise einfachen Rezepts machen und mit einem 3-D-Drucker eine Pizza herstelle"
Erich Feldmeier

Ellen Jorgensen: Biohacking -- you can do it, too | Video on TED.com - 0 views

  •  
    "The press had a tendency to consistently overestimate [biohackers'] capabilities and underestimate our ethics. We have personal computing, why not personal biotech? That's the question biologist Ellen Jorgensen and her colleagues asked themselves before opening Genspace, a nonprofit DIYbio lab in Brooklyn devoted to citizen science, where amateurs can go and tinker with biotechnology. Far from being a sinister Frankenstein's lab (as some imagined it), Genspace offers a long list of fun, creative and practical uses for DIYbio. Ellen Jorgensen is at the leading edge of the do-it-yourself biotechnology movement, which brings scientific exploration and understanding to the masses"
Janos Haits

Project Jupyter | Home - 0 views

  •  
    "Open source, interactive data science and scientific computing across over 40 programming languages."
Janos Haits

Stanford Knowledge Systems, AI Laboratory - 0 views

  •  
    KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.
Janos Haits

dblp: DBLP Bibliography - Home Page - 0 views

  •  
    "The DBLP Computer Science Bibliography"
Janos Haits

ACM Digital Library - 0 views

  •  
    Full text of every article ever published by ACM and bibliographic citations from major publishers in computing.
Janos Haits

ACM Digital Library - 0 views

  •  
    Full text of every article ever published by ACM and bibliographic citations from major publishers in computing.
Janos Haits

zSpace - revolutionary virtual-holographic computing - 0 views

  •  
    zSpace is a revolutionary, immersive, interactive 3D environment for computing, creating, communication and entertainment.
Janos Haits

Code.org | Dedicated to growing computer programming education - 0 views

  •  
    We're building a comprehensive list of all computer programming schools, classes, summer camps, and after school clubs. Click below to include your class.
herrell

New Quantum-Computer Design Could Lead to Practical Hardware - 0 views

  •  
    Quantum computers promise the ability to tackle complex problems, such as decoding encrypted communications and developing new pharmaceutical drugs, much faster than conventional machines can. But to date, quantum computers have only been used to tackle specific problems, mostly to demonstrate how they work.
Janos Haits

Mathematica - Wikipedia, the free encyclopedia - 0 views

  •  
    Mathematica is a computational software program used in scientific, engineering, and mathematical fields and other areas of technical computing. It was conceived by Stephen Wolfram and is developed by Wolfram Research of Champaign, Illinois.[2][3]
« First ‹ Previous 41 - 60 of 180 Next › Last »
Showing 20 items per page