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
What Does 'Big Data' Mean? (Part 2)
In this second post on big data, I continue with a discussion of the use case of big volume-big analytics.
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
Data Mining Product Reviews
When it comes to big data, one of the greatest things we can do as computer scientists creating products is to distill all the information down to what is important...
From BLOG@CACM
Data Mining the Web Via Crawling
This post focuses on the data collection via crawling the web, by covering some of the challenges around collecting and discovering new content via a web crawler...
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
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
New SQL: An Alternative to NoSQL and Old SQL For New OLTP Apps
New SQL should be considered as an alternative to NoSQL or Old SQL for New OLTP applications. If New OLTP is as big a market as I foresee, we will see many more...
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
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
Big Data, Big Problems
U.S. government agencies are spending boatloads of money on pushing the envelope of massive compute servers, but appear to be ignoring the fact that many research...
From BLOG@CACM
Managing Scientific Data: Coping with a Multidisciplinary World Grace Hopper Talk
This is a report on a talk by Claudia Bauzer Medeiros on Managing Scientific Data.
From BLOG@CACM
Why Enterprises Are Uninterested in NoSQL
Here's my two cents worth on why an estimated 61% of enterprise users are either ignorant about or uninterested in NoSQL.
From BLOG@CACM
My Top 10 Assertions About Data Warehouses
Data warehouses, business intelligence, business analytics, and complex analytics are the subject of increasingly intense marketing wars, seemingly accelerated...
From BLOG@CACM
The First ACM Symposium on Cloud Computing (SoCC)
Earlier this summer the first ACM Symposium on Cloud Computing was held in Indianapolis, Indiana. With three stellar keynotes and an exceptional program, the inaugural...
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