Communications of the ACM
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From BLOG@CACM
Machine Learning: the Road to Artificial Intelligence?
In the mid-1990s, data-driven, statistical, and empirical methods have taken the field of artificial intelligence (AI) by storm. In the last two decades, machine...
From BLOG@CACM
VOT Challenge: Computer Vision Competition
VOT Challenge is one of the outstanding competitions in computer vision. At the end of this important event this year, I would like to share my opinions about this...
From BLOG@CACM
Serendipity: When Research in One Area Leads to a Positive Result in Another
A problem of the extremely optimal family of circulant graphs: when research in one scientific field gives an unexpected result in another.
From BLOG@CACM
Evaluating Research Results for Practical Applications
The role of the application of research results in assessing the achievements of scientists.
From BLOG@CACM
Can Transaction Costs Explain Scale-Free Networks Born by Preferential Attachment?
Centralization leads to more efficient communication and control, which leads to lower transaction costs, which increases the useful work each node can spend on...
From BLOG@CACM
The Year-Round Joys and Benefits of Open Source Software
One of the things that makes us programmers feel warm and fuzzy is open source software. Companies support open source too. Why give something away for free? A...
From BLOG@CACM
Getting a Program Right (1)
Why it is good to have a systematic approach to software verification.
From BLOG@CACM
Talented Programmers Don't Tolerate Chaos
Talented programmers will strive to structure chaos and write perfect code.
From BLOG@CACM
Not So Good After All? Don't Let 'Altruism' Kill Your Company
Altruism is often heralded as a panacea for management challenges, but it could actually be a death sentence for your team and projects. Here's why.
From BLOG@CACM
Soundness and Completeness: Defined With Precision
The two key properties of program analysis are dual of each other.
From BLOG@CACM
Computer Science Relies on the Opposite of Godel's Results
The first-order theories of Gödel's results necessarily leave mathematical objects ill-defined.
From BLOG@CACM