GPT-4’s Successes, and GPT-4’s Failures
How GPT-4 fits into the larger tapestry of the quest for artificial general intelligence.
Artificial Intelligence and Machine Learning
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Enabling AI Projects In An Enterprise
Identifying the development behaviors that have the highest chance of success for artificial intelligence efforts.
Neural Networks for Drug Discovery and Design
Architectures suited for molecules streamline the identification of pharmaceutical candidates.
Adding Smarts to Vending Machines Drives Convenience, Efficiency
Advanced feature sets and functionality are projected to drive the market for connected vending to nearly nine million units by 2024.
Toward Practices for Human-Centered Machine Learning
Designing for the social, cultural, and ethical implications of ML are just as important as its technical advances.
AI and Neurotechnology: Learning from AI Ethics to Address an Expanded Ethics Landscape
The merging of machine, body, and psyche is on the horizon due to the technological advancements enabled by neuroscience and AI.
Management and technology challenges of AI-enabled application projects.
Who Is Responsible Around Here?
Let us stop talking about Responsible AI. We, computing professionals, should all accept responsibility now, starting with ACM!
A Philosopher’s Daughter Navigates a Career in AI
In high school, a friend of my brother who was studying telecommunication engineering spoke to me about the great potential technology holds to improve society. That conversation inspired me to study computer science.
Fending off Cyberattacks on Collaborative Robots
Hackers leverage IoT, IIoT vulnerabilities to gain unauthorized access to cobots.
Why doing psychology on large language models is harder than you might think.
And how did some prominent journalists utterly miss this initially?
Using GitHub CoPilot is Like Having a Superpower
With the advent of Large Language Models (LLMs) and tools like GitHub CoPilot, I think we’re a step closer towards a world where software can be created by anyone. In fact, my colleague Brad Myers, who has investigated end-user programming for decades, believes that CoPilot is the biggest change to programming since Google search. I think this may be understating things. We’re going to see a wave of new kinds of software programming tools based on LLMs, and they will be transformative in how developers build and evaluate computer systems.
Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the intellectual culture of the university began to shift.
HPC Forecast: Cloudy and Uncertain
An examination of how the technology landscape has changed and possible future directions for HPC operations and innovation.
The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck
A taxonomy of the methods used to obtain quality datasets enhances existing resources.
Computational Linguistics Finds Its Voice
Advances in artificial intelligence permit computers to converse with humans in seemingly realistic ways.
Can AI Demonstrate Creativity?
When fed a sufficient amount of training data, artificial intelligence techniques can be used to generate new ideas in several different ways. Is that creativity?
Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning
"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models when enumeration is infeasible in a clean, beautiful, and elegant manner.
The QR code, a convenient mechanism for delivering digital information to a reader, does not come with any human-readable way to ascertain safety. You have no way to tell whether it is potentially malicious.
Why the Simplex Method, at Age 75, is Still the Go-To Algorithm
Daniel A. Spielman and colleague Shang-hua Teng solved the mystery of the Simplex Method using a technique called smoothed analysis.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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