Communications of the ACM
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ChatGPT (and Other Generative AI Applications) as a Disruptive Technology for Computer Science Education: Obsolescence or Reinvention
Generative AI may turn out to be disruptive technologies for computer science education, but generative AI can also be conceived…
From BLOG@CACM
Socializing with Robots at Ginza
Modern social robots are making their debut in our daily lives.
From BLOG@CACM
The NIPS Experiment
In the NIPS experiment, 10% of papers submitted to the Neural Information Processing Systems Foundation went through its review process twice, with results compared...
From BLOG@CACM
Lessons from Winnie the Pooh: Sustainable Cyberinfrastructure
The longitudinal value of research data often accrues to disciplines other than those where it was created. We need a new model that judiciously balances investment...
From BLOG@CACM
Little's Law in the Exascale Era
When performance optimization, reliability requirements, and energy management are convolved with component costs, device physics, system software services and...
From BLOG@CACM
HPC, Big Data and the Peloponnesian War
We need a concord and strategic research investment plan that recognizes the shared importance of HPC and big data. Both warrant investments in basic research,...
From BLOG@CACM
Priming, Assimilation Bias, Social Proof in Social Media
As the US election draws near, what is the role that social media play in this political process? How do social theories and psychological tendencies affect the...
From BLOG@CACM
What Does 'Big Data' Mean?
It is interesting to note that a substantial subset of the computer science community has redefined their research agenda to fit under the marketing banner of "Big...
From BLOG@CACM
Conferences vs. Journals in Computer Science: An Alternative Perspective from Education
What if computer science conferences required proposals for presentations and then selected some for consideration in journals and book chapters?
From BLOG@CACM
My Scientific Big Data Are Lonely
Although there are daunting technical challenges posed by big data in science and engineering, the social and economic challenges are just as difficult, though...
From BLOG@CACM
Possible Hadoop Trajectories
Hadoop has spread rapidly in the last few years as a platform for parallel computation in Java, but we believe a lot of improvement will be required for serious...
From BLOG@CACM
Using 'Averages' While Thinking About Social Behavior? That's Probably Wrong!
Using "averages" as a metric while thinking about Social Systems is probably wrong.
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