Communications of the ACM
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From BLOG@CACM
A Year Embedded in the Crypto-NFT Space
From digital ownership to artistic communities.
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part Two
"When I heard we will be learning Python, I became anxious."
From BLOG@CACM
Cybersecurity Mistakes to Avoid at All Costs
Preventing unauthorized access or misuse of confidential data.
From BLOG@CACM
Twiddler: Configurability for Me, but Not for Thee
Online platform businesses have a distinctly more abusive and sinister character than brick-and-mortar retail chains.
From BLOG@CACM
The Urgency of the Technological, Geopolitical, and Sustainability Races
The HiPEAC Vision 2023.
From BLOG@CACM
Enabling AI Projects In An Enterprise
Identifying the development behaviors that have the highest chance of success for artificial intelligence efforts.
From BLOG@CACM
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
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
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
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
AI's Jurassic Park Moment
New systems like chatGPT are enormously entertaining, and even mind-boggling, but also unreliable, and potentially dangerous.
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
The Legacy of Peer-to-Peer Systems
What happened to peer-to-peer as a technological concept?
From BLOG@CACM
What Does Meta AI's Diplomacy-Winning Cicero Mean for AI?
Hint: It's not all about scaling.
From BLOG@CACM