Communications of the ACM
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Teaching Data Science Research Methods to Human Resources Practitioners – Part 4
We believe programming experience is crucial for human resources practitioners in the data and tech era.
From BLOG@CACM
NITRD 20: A Day in Your Life
Progress in information technology over the past 20 years has dramatically changed our lives — in our daily routine, at play, and at work.
From BLOG@CACM
COLT/ICML Open Problems and ICML Instructions
Open problems will be presented in a joint session in the evening of the COLT/ICML overlap day. If you have a difficult, theoretically definable problem in machine...
From BLOG@CACM
Research Data Sustainability and Access
The dramatic growth of research data, the collaborative nature of international research, expectations for economic returns, and disciplinary differences all make...
From BLOG@CACM
John McCarthy
The contributions and personality of John McCarthy, one of the pioneers of computer science.
From BLOG@CACM
What We Owe Google, and What Google Owes Us
We rely on online information sources—maybe too much. What is our responsibility to make sure that they're accurate, and what responsibility do the sources have...
From BLOG@CACM
Research Directions For Machine Learning and Algorithms
An in-depth discussion of near-term research directions for machine learning and algorithms.
From BLOG@CACM
Information Privacy: Changing Norms and Expectations
That picture of you at a family reunion, squinting into the sun, can rarely be delimited by a physical location once it is placed on the web. Instead, information...
From BLOG@CACM
Embracing Noise or Why Computer Scientists Should Stop Worrying and Learn to Love the Errors
Precision is not required in everything or even most things. Failures are best handled by expecting them all the time, not treating them as exceptions. We should...
From BLOG@CACM
Explaining Science and Engineering
As I have followed the international news regarding the Japanese disaster, I have been struck by the challenges each news organization has faced in explaining technical...
From BLOG@CACM
Intellectual Amplification via Computing
As the recent performance of IBM's Watson system on the game show Jeopardy! illustrated, the combination of large-scale data, rich algorithm suites and powerful...
From BLOG@CACM
Works in Progress: MIA
It is time we extracted a sample of cultural DNA from computing's history and engineered a new generation of contemplative, informal workshops. After gestation,...
From BLOG@CACM
To Videolecture or Not
Should conferences cover the cost of a videolecture or not? I say "yes."
From BLOG@CACM
HPC and the Excluded Middle
Betwixt and between ubiquitous consumer software and the ethereal realm of ultra-high-performance computing, lies the excluded middle, the world of day-to-day computational...
From BLOG@CACM
How Should Peer Review Evolve?
A simmering debate on peer review processes threatens to boil to the surface of various discussion forums for the scientific communities and the public at large...
From BLOG@CACM
Technology Transfer: A Contact Sport
The success or failure of technology transfer depends on many factors. No single mechanism is guaranteed to succeed, though there are many mechanisms that are likely...
From BLOG@CACM
Mind Meld in Group Decision Making
Social computing remains a hot research topic, and basic research on understanding group decision making and conditions under which crowdsourcing can lead to advantages...
From BLOG@CACM
In Vivo, In Vitro, In Silico
These “grand challenges” of systems biology encompass almost every aspect of modern computing, from numerical and symbolic methods through data management and analytics...
From BLOG@CACM
Web Applications Crave Memory
Big web applications are hungry for RAM. They want lots of low power RAM. And they want little else.
From BLOG@CACM
Consumerization of IT and Research
When a corporate, government, or university IT department of the 1970s debated an upgrade to its IBM S/370 mainframes, it is doubtful that the IT director was in...
From BLOG@CACM