1. Sen. Mark Udall, Remarks on STEM Education

    03:13

    from ACS Science & the Congress / Added

    4 Plays / / 0 Comments

    March 14, 2012: Senator Mark Udall (D-CO) makes opening remarks on STEM education and an innovative workforce. Sen. Udall is a co-chair of the Senate Science & Technology Caucus. Part of "STEM Education for an Innovative Workforce" held by ACS Science & the Congress and the Research Corporation for Science Advancement (RCSA) on Capitol Hill.

    + More details
    • Madeleine Jacobs, Introductory Remarks for STEM Education and the Workforce

      05:16

      from ACS Science & the Congress / Added

      4 Plays / / 0 Comments

      March 14, 2012: Madeleine Jacobs of the American Chemical Society, introduces honorary co-hosts the Senate Science & Technology Caucus, with co-chairs Sen. Mark Udall (D-CO) and Sen. Lamar Alexander (R-TN), and moderator James Gentile. Part of "STEM Education for an Innovative Workforce" held by ACS Science & the Congress and the Research Corporation for Science Advancement (RCSA) on Capitol Hill.

      + More details
      • James Gentile, Context for Science Education Priorities

        06:59

        from ACS Science & the Congress / Added

        1 Play / / 0 Comments

        March 14, 2012: James "Jim" Gentile of the Research Corporation for Science Advancement (RCSA), on the occasion of RCSA's centennial, contextualizes the need and continued development of science education. Part of "STEM Education for an Innovative Workforce" held by ACS Science & the Congress and RCSA on Capitol Hill.

        + More details
        • Hunter Rawlings III, Improving the Status of Science Education

          09:49

          from ACS Science & the Congress / Added

          0 Plays / / 0 Comments

          March 14, 2012: Hunter Rawlings III of the Association of American Universities speaks to the importance of science teaching among top-tier research universities. Statistics indicating many undergraduates transition away from STEM before graduating is of concern to domestic education policy. Part of "STEM Education for an Innovative Workforce" held by ACS Science & the Congress and the Research Corporation for Science Advancement (RCSA) on Capitol Hill.

          + More details
          • Bassam Shakhashiri, The Importance of Quality Science Teaching

            11:58

            from ACS Science & the Congress / Added

            0 Plays / / 0 Comments

            March 14, 2012: Bassam Shakhashiri, President of the American Chemical Society, on the importance of good science teachers. Education in science, not just about science, is a vital component to furthering modern society. Part of "STEM Education for an Innovative Workforce" held by ACS Science & the Congress and the Research Corporation for Science Advancement (RCSA) on Capitol Hill.

            + More details
            • Double-Slit-Experiment - Narrow Slits (enhanced coloring)

              00:10

              from nik / Added

              23 Plays / / 1 Comment

              visualization of a solution of the schrödinger equation in 2D.

              + More details
              • Single/Double-Slit Experiments

                00:10

                from nik / Added

                11 Plays / / 0 Comments

                visualization of a solution of the schrödinger equation in 2D.

                + More details
                • Making Sense of the World with Deep Learning - Rob Fergus, New York University

                  24:31

                  from Kavli Frontiers of Science / Added

                  123 Plays / / 0 Comments

                  An Overview of Deep Learning Rob Fergus, New York University My presentation will give a brief introduction to a new area of machine learning called "Deep Learning" that is showing great promise for tackling a wide range of problems in the artificial intelligence arena. I will start by introducing several perceptual problems within this domain that are easy for humans, but very challenging for machines. These differ from many other problems in science in that they are difficult to address with the traditional analytic tools of math and physics so must instead be tackled with statistical approaches, such as machine learning. I will then outline how "deep" models differ from existing "shallow" machine learning approaches, and give theoretical and empirical arguments why these are more likely to lead to solutions to these AI problems. Background Review Article: Hinton, G. E. and Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006.

                  + More details
                  • Making Sense of the World with Deep Learning - Marc’Aurelio Ranzato, Facebook

                    33:15

                    from Kavli Frontiers of Science / Added

                    135 Plays / / 0 Comments

                    Supervised Deep Learning Marc’Aurelio Ranzato, Facebook In supervised learning, each input sample is provided with a target label dur¬ing training. In this talk, I will describe how deep learning methods, which are algorithms vaguely inspired by how the brain works, can be trained to predict the label of unseen inputs for three different applications: speech recognition, text understanding and generic object recognition in images. In the first ap¬plication, the input is 100ms of speech and the output is a phone label of the sound, in the second case the input is a sequence of words and the output is the subsequent word, in the last case the input is an image and the output is the label of the category of the object in the image (e.g., “dog”). Although these applications are very different from each other, the learning algorithm is very similar. These methods have yielded the most accurate prediction systems on a variety of tasks, and they have recently been deployed in several commercial systems (e.g., speech recognition on Android phones and image search on Baidu search engine, to name a few).

                    + More details
                    • particle hitting a potential with hole

                      00:10

                      from nik / Added

                      11 Plays / / 0 Comments

                      visualization of a solution of the schrödinger equation in 2D.

                      + More details

                      What are Tags?

                      Tags

                      Tags are keywords that describe videos. For example, a video of your Hawaiian vacation might be tagged with "Hawaii," "beach," "surfing," and "sunburn."