Susan Landau’s expertise in cybersecurity—and the laws governing it—is undisputed. She provided key testimony before Congress in the controversial 2015-2016 dispute between the FBI and Apple. Read our interview with her in which she provides tips for handling career obstacles and finding inspiration.

The competition for the Richard E. Merwin Student Scholarship spring cycle grew even fiercer this year with 119 applications submitted by the 30 April deadline. The Spring scholars are likewise stronger than ever before. We congratulate this cycle’s scholars on a job well done.

Read more about these 17 new rising stars.

Inside the Computer Society
Upcoming Conferences
This conference presents excellent, novel, and contemporary papers covering all aspects of Data, including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought to be able to manage, integrate, and utilize large amounts of data despite ...
Los Angeles, USA
30-01
Jul
Computing devices such as microprocessors, GPUs, DSPs, ASSPs, NNAs and related technologies such as memories, interconnects.
Cupertino, USA
18-20
Aug
Trending from the Computer Society Digital Library
Computer
David Alan Grier
Djaghe, LLC
Quantum computing promises to help us someday reach impressive computing speed. Explains briefly what quantum computing is and discusses future applications for its use.
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Kaiming He
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of l...
IEEE Transactions on Pattern Analysis & Machine Intelligence
P. Salamon
Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization error can be reduced by invoking ensembles of simi...