DEPARTMENT:
Editor's letter
Ten Years at the Helm of Communications of the ACM
In January 2007, I undertook the task of revitalizing Communications of the ACM. Now, after 10 years at the helm of Communications, it is time for me to move on and for the magazine to get new leadership.
Moshe Y. Vardi
Page 5
DEPARTMENT:
Cerf's up
Open Access to Academic Research
One challenge associated with data and publication preservation is the creation of business models that can sustain long-duration archives. Considerable infrastructure must be maintained to ensure access to digital content over …
Vinton G. Cerf
Page 7
DEPARTMENT:
Letters to the editor
Technologies Do Have Ethics
The Cerf's Up column "Social and Ethical Behavior in the Internet of Things" (Feb. 2017) by Francine Berman and Vinton G. Cerf was a welcome reminder of the importance of ethical issues involving sociotechnical systems in general …
CACM Staff
Pages 8-9
DEPARTMENT:
BLOG@CACM
Balancing Teaching CS Efficiently with Motivating Students
Mark Guzdial suggests a new balance is needed in computer science education between discovery learning and direct instruction.
Mark Guzdial
Pages 10-11
COLUMN:
News
Deep Learning Takes on Translation
Improvements in hardware, the availability of massive amounts of data, and algorithmic upgrades are among the factors supporting better machine translation.
Don Monroe
Pages 12-14
Optimization Search Finds a Heart of Glass
Analog computing could provide greater efficiency, improved digital algorithms.
Chris Edwards
Pages 15-16
Potential and Peril
The outlook for artificial intelligence-based autonomous weapons.
Sarah Underwood
Pages 17-19
Weaving the Web
Sir Tim Berners-Lee created a paradigm shift that changed the world with his invention of the World Wide Web, Hypertext Transport Protocol, and Hypertext Markup Language.
Neil Savage
Pages 20-22
Big Data
2014 ACM A.M. Turing Award recipient Michael Stonebraker, 2013 ACM Prize recipient David Blei, 2007 ACM Prize recipient Daphne Koller, and ACM Fellow Vipin Kumar discuss trends in big data.
CACM Staff
Pages 24-25
COLUMN:
Inside risks
Trustworthiness and Truthfulness Are Essential
Their absence can introduce huge risks . . .
Peter G. Neumann
Pages 26-28
COLUMN:
Broadening participation
The Influence and Promise of Alliances
Evaluating the influence of broadening participation efforts on students, faculty, organizations, and the computing education infrastructure.
Leslie Goodyear, Gary Silverstein, Linda P. Thurston
Pages 29-30
COLUMN:
Kode Vicious
Forced Exception Handling
You can never discount the human element in programming.
George V. Neville-Neil
Pages 31-32
COLUMN:
Viewpoint
Remaining Trouble Spots with Computational Thinking
Addressing unresolved questions concerning computational thinking.
Peter J. Denning
Pages 33-39
SECTION:
Practice
The Debugging Mind-Set
Understanding the psychology of learning strategies leads to effective problem-solving skills.
Devon H. O'Dell
Pages 40-45
Too Big Not to Fail
Embrace failure so it does not embrace you.
Pat Helland, Simon Weaver, Ed Harris
Pages 46-50
Conversations with Technology Leaders: Erik Meijer
Great engineers are able to maximize their mental power.
Kate Matsudaira, Erik Meijer
Pages 51-54
SECTION:
Contributed articles
The Scion Internet Architecture
Adhering to the end-to-end principle even more than the current Internet yields highly available point-to-point communication.
David Barrera, Laurent Chuat, Adrian Perrig, Raphael M. Reischuk, Pawel Szalachowski
Pages 56-65
The Dynamics of Work-Family Conflict
Conflict is averted by separating work and family time and responsibility, as reflected in millions of tweets.
Yili Liu, Lina Zhou
Pages 66-70
SECTION:
Review articles
Learnable Programming: Blocks and Beyond
New blocks frameworks open doors to greater experimentation for novices and professionals alike.
David Bau, Jeff Gray, Caitlin Kelleher, Josh Sheldon, Franklyn Turbak
Pages 72-80
SECTION:
Research highlights
Technical Perspective: What Led Computer Vision to Deep Learning?
We are in the middle of the third wave of interest in artificial neural networks as the leading paradigm for machine learning. "ImageNet Classification with Deep Convolutional Neural Networks" is the paper most responsible for …
Jitendra Malik
Pages 82-83
ImageNet Classification with Deep Convolutional Neural Networks
In the 1980s backpropagation did not live up to the very high expectations of its advocates. Twenty years later, we know what went wrong: for deep neural networks to shine, they need far more labeled data and hugely more computation …
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Pages 84-90
Technical Perspective: Low-Depth Arithmetic Circuits
The past few years have seen a revolution in our understanding of arithmetic circuits. "Unexpected Power of Low-Depth Arithmetic Circuits" by Gupta et al. on the "chasm at depth 3" is one of the culminations of this new understanding …
Avi Wigderson
Page 91
Unexpected Power of Low-Depth Arithmetic Circuits
Several earlier results have shown that it is possible to rearrange basic computational elements in surprising ways to give more efficient algorithms. The main result of this article is along a similar vein.
Ankit Gupta, Pritish Kamath, Neeraj Kayal, Ramprasad Saptharishi
Pages 93-100
COLUMN:
Last byte
This Is For Everyone
Sir Tim Berners-Lee on the formative years of the world wide web, and the challenges it now faces.
Leah Hoffmann
Pages 104-ff