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IMAGE: Michael Franz of the University of California, Irvine is the recipient of the ACM Charles P. Chuck Thacker Breakthrough in Computing Award. view more
Credit: Markus Hörster/TU Braunschweig
ACM, the Association for Computing Machinery, today announced that Michael Franz of the University of California, Irvine is the recipient of the ACM Charles P. Chuck Thacker Breakthrough in Computing Award. Franz is recognized for the development of just-in-time compilation techniques that enable fast and feature-rich web services on the internet. Every day, millions of people around the world use online applications such as Gmail and Facebook. These web applications would not have been possible without the groundbreaking compilation technique Franz developed in the mid 1990s.
Since 1981, the society has recognized and honored the vision of those who aided the computer industry and presented the award to individuals who in at least 15 years prior contributed to the creation, concepts, and development of the computer field. I m glad that other people appreciate the contributions that I made, and I certainly don t profess to be the only one who made them, said Denning. When somebody says you were a pioneer and something that they re looking back into the distant past, it made me remember that I worked on those things but am no longer working on them and now I m working on new things that matter in today s world.
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Computer Science Teachers Association Adds CoderZ’s Professional Development Program to Curated List of Quality Resources
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The CoderZ professional development program introduces instructors to the concepts of teaching computer science and computational thinking using an online tool.
My experience with CoderZ professional development was very positive. It provided the familiarity I needed to gather valuable data about student performance and helped me to better support my students when they are challenged. DERRY, N.H. (PRWEB) April 20, 2021
An independent committee of experts evaluated the CoderZ professional development programs using a detailed rubric aligned to quality indicators such as the following:
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Although the problem of gender discrimination is already found in the music industry, music recommendation algorithms would be increasing the gender gap. Andrés Ferraro and Xavier Serra, researchers of the Music Technology research group (MTG) of the UPF Department of Information and Communication Technologies (DTIC), with Christine Bauer, of the University of Utrecht (Netherlands), have recently published a paper on gender balance in music recommendation systems in which they ask themselves how the system should work to avoid gender bias.
At the outset, the authors identified that gender justice was one of the artists main concerns
Initially, the work by Ferraro, Serra and Bauer aimed to understand the fairness of music platforms available online from the artists point of view. In interviews conducted with music artists, they identified that gender justice was one of their main concerns.