Poll Everywhere replaces expensive proprietary audience response hardware with standard web technology. It's the easiest way to gather live responses in any venue: conferences, presentations, classrooms, radio, tv, print — anywhere. It can help you to raise money by letting people pledge via text messaging. Its simplicity and flexibility are earning rave reviews.
A team of librarians monitors information technology literature, selecting only the best items to annotate for this free publication. The resulting issue of 8-12 annotated citations of current literature is emailed to a mailing list and is available as an RSS feed.
TechCrunch was founded on June 11, 2005, as a weblog dedicated to obsessively profiling and reviewing new Internet products and companies. In addition to covering new companies, we profile existing companies that are making an impact (commercial and/or cultural) on the new web space. TechCrunch has now grown into a network of technology focused sites offering a wide range of content and new media.
A national survey by the Kaiser Family Foundation found that with technology allowing nearly 24-hour media access as children and teens go about their daily lives, the amount of time young people spend with entertainment media has risen dramatically, especially among minority youth. Today, 8-18 year-olds devote an average of 7 hours and 38 minutes (7:38) to using entertainment media across a typical day (more than 53 hours a week). And because they spend so much of that time 'media multitasking' (using more than one medium at a time), they actually manage to pack a total of 10 hours and 45 minutes (10:45) worth of media content into those 7½ hours.
A workshop by Princeton University`s Center for Information Technology Policy invites academics, publishers, journalists, bloggers, and information technology researchers to compare notes on how the Internet is transforming the news media.
Director: Edward W. Felten. The Center is sponsored by the School of Engineering and Applied Science, and the Woodrow Wilson School of Public and International Affairs. Promotes an informed public discussion of digital technologies. addresses digital technologies as they interact with policy, markets and society.
Have a story you want to share about the role of technology in your life? Want to rant about a particularly unfair policy at your school surrounding internet use? Want to share your favorite new technological tool with us? Related to the book Born Digital and the initiative of the Digital Natives project, an interdisciplinary collaboration of the Berkman Center for Internet & Society at Harvard University and the Research Center for Information Law at the University of St. Gallen.
ELI (EDUCAUSE Learning Initiative). concise information on emerging learning technologies and related practices. Each brief focuses on a single technology or practice
On July 17, 1995, the Global Positioning System (GPS), the world's first space-based satellite navigation system is declared operational. GPS provides location and time information in all weather conditions, anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.
On October 11, 1745, German cleric Ewald Georg von Kleist and independently of him Dutch scientist Pieter van Musschenbroek from the city of Leiden, Netherlands, invented a predecessor of today's battery, the Leyden Jar.
This site gives details of The Ambisonics Association and its work. The Association was created in April 2008, with the general aim of promoting ambisonics. Its initial work is concentrated in the (fairly technical) areas of the creation and promotion of collective marks ('trademarks'), standards (e.g. for file formats) and other necessary infrastructure for ambisonics.
H. TARIQ, W. YANG, I. HAMEED, B. AHMED, und R. KHAN. IJIRIS:: International Journal of Innovative Research Journal in Information Security, Volume IV (Issue XII):
01-07(Dezember 2017)1 Hugh A. Chipman, Edward I. George, and Robert E. McCulloch. “Bayesian CART Model Search.” Journal of the American Statistical Association, Vol. 93(443), pp 935–948, September 1998. 2 Sujata Garera, Niels Provos, Monica Chew, and Aviel D. Rubin. “A framework for detection and measurement of phishing attacks.” In Proceedings of the 2007 ACM workshop on Recurring malicious code - WORM ’07, page 1, 2007. 3 Abhishek Gattani, AnHai Doan, Digvijay S. Lamba, NikeshGarera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, AnandRajaraman, and VenkyHarinarayan. “Entity extraction, linking, classifica- tion, and tagging for social media.” Proceedings of the VLDB Endowment, Vol. 6(11), pp 1126–1137, August 2013. 4 David D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval. pages 4–15. 1998. 5 Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. “Learning to detect malicious URLs.” ACM Transactions on Intelligent Systems and Technology, Vol. 2(3), pp 1–24, April 2011. 6 FadiThabtah Maher Aburrous, M.A.Hossain, KeshavDahal. “Intelligent phishing detection system for e-banking using fuzzy data mining.” Expert Systems with Applications, Vol. 37(12), pp 7913–7921, Dec 2010. 7 AnkushMeshram and Christian Haas. “Anomaly Detection in Industrial. Networks using Machine Learning: A Roadmap.” In Machine Learning for Cyber Physical Systems, pages 65–72. Springer Berlin Heidelberg, Berlin, Heidelberg, 2017. 8 Xuequn Wang Nik Thompson,Tanya Jane McGill. “Security begins at home: Determinants of home computer and mobile device security behavior.” Computers & Security, Vol. 70, pp 376–391, Sep 2017. 9 Dan Steinberg and Phillip Colla. “CART: Classification and Regression Trees.” The Top Ten Algorithms in Data Mining, pp 179–201, 2009. 10 D. Teal. “Information security techniques including detection, interdiction and/or mitigation of memory injection attacks,” Google patents. Oct 2013. 11 Kurt Thomas, Chris Grier, Justin Ma, Vern Paxson, and Dawn Song. “Design and Evaluation of a Real-Time URL Spam Filtering Service.” In 2011 IEEE Symposium on Security and Privacy, pp 447–462. May 2011. 12 Sean Whalen, Nathaniel Boggs, and Salvatore J. Stolfo. “Model Aggregation for Distributed Content Anomaly Detection.” In Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop - AISec ’14, pp 61–71, New York, USA, 2014. ACM Press. 13 Ying Yang and Geoffrey I. Webb. “Discretization for Naive-Bayes learning: managing a discretization bias and variance.” Machine Learning, Vol. 74(1), pp 39–74, Jan 2009..