Communications of the ACM
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The Need For Combined Data And Analytic Governance
Numbers don't mean anything if people don't understand, or trust, the computation behind them.
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
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
From BLOG@CACM
The ChatAlgebra Educational Revolution
We need a ChatAlgebra revolution to reduce the gatekeeping role of the traditional Algebra course, to ameliorate the student suffering associated with the traditional...
From BLOG@CACM
What to Expect When You're Expecting ... GPT-4
What comes after ChatGPT? Seven predictions for 2023.
From BLOG@CACM
Is Computing Innovation Getting Harder?
Many of us, inside the ivory tower and outside, have felt at times that research is not quite delivering at the rate we hope it would.
From BLOG@CACM
Inorganic Growth In Tech: Getting Shredded with Acquisitions
Acquisitions happen quite often in the tech industry and are far more complicated to pull off successfully than popping a pill.
From BLOG@CACM
5 Best Practices for Cloud-Based Backup and Recovery in 2023
These practices help technical professionals ensure their organizations' data is protected and can be recovered quickly.
From BLOG@CACM
Did Grace Hopper Create the First Compiler?
Heinz Rutishauser (ETH Zurich, Switzerland) is regarded as the developer of automatic programming.
From BLOG@CACM
How do Authors' Perceptions about their Papers Compare with Co-Authors' Perceptions and Peer-Review Decisions?
Does peer review change authors' perception of their own papers?
From BLOG@CACM
Early Computers in Continental Europe
About the Bark (binär automatisk relä-kalkylator, binary automatic relay computer) and Besk (binär elektronisk sekvens kalkylator, binary electronic sequential...
From BLOG@CACM
Will Free Open Access Publication Become a Mass Phenomenon?
In this blog post, I would like to go over the value of different publication platforms from the point of view of an ordinary scientific researcher.
From BLOG@CACM
Bad Reasons to Reject Good Papers, and Vice Versa
(or, am I Reviewer #2? Should I be?)
From BLOG@CACM
Logical Beats Sequential
Often, "we do this and then we do that" is just a lazy way of stating "to do that, we must have achieved this."
From BLOG@CACM
Why Is It Hard to Define Data Science?
Data science can be described as a science, as a research paradigm, as a research method, as a discipline, as a workflow, and as a profession.
From BLOG@CACM