Communications of the ACM
Ulterior Motives
2023-2024 ACM Athena Lecturer Margo Seltzer recalls the motivations behind the development of the Berkeley DB database software…
From ACM Opinion
Adam Dymitruk on Event Modeling
Exploring the event-modeling approach to discovering requirements and designing software systems.
From ACM Opinion
Yoshua Bengio: The Past, Present, and Future of Deep Learning
2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field.
From ACM Opinion
Software Engineering in Physics Research
A discussion on how physics research scientists use software.
From ACM Opinion
The Computer Scientist Who Is Boosting Privacy on the Internet
Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.
From ACM Opinion
AI and ML Observability
Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
From ACM Opinion
Open-Endedness and Evolution through Large Models
A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.
From ACM Opinion
Linguistics and the Development of NLP
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...
From ACM Opinion
I Was There When: AI Helped Create a Vaccine
An interview with Dave Johnson, chief data and artificial intelligence officer at Moderna.
From ACM Opinion
The AI Researcher Giving Her Field Its Bitter Medicine
Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.
From ACM Opinion
Supercomputer Emulator: AI's New Role in Science
Chris Bishop, Microsoft's head of AI4Science, sees machine learning partially supplanting simulation.
From ACM Opinion
'The New Generation of Computer Scientist Wants to Benefit Society'
Professor Jim Kurose discusses the type of science computing researchers are focusing on and the future of the field.
From ACM Opinion
The Computer Scientist Challenging AI to Learn Better
Christopher Kanan is building algorithms that can continuously learn over time—the way people do.
From ACM Opinion
Matthew Ball on the Metaverse
Leading metaverse theorist shares his thoughts on the sudden rise of the concept, its utility for the enterprise, and what we still get wrong.
From ACM Opinion
Software Engineering Lessons
Software engineer, consultant, and author Karl Wiegers discusses specific practices based on his 50 years of experience in the industry.
From ACM Opinion
'Video Games Are for Boys'
Hopscotch app co-founder Samantha John discusses her journey from avoiding video games to helping kids create them.
From ACM Opinion
Quantifying Computing Power and Innovation
Rapid increases in chip speed and power have fueled innovation in many industries, but the future trajectory of that progress may be in jeopardy.
From ACM Opinion
Yann LeCun's Bold New Vision for the Future of AI
One of deep learning's godfathers pulls together old ideas to sketch out a fresh path for AI.
From ACM Opinion
Intro to Model-Free and Model-Based Reinforcement Learning
Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.
From ACM Opinion
Testing in Python with pytest
Software engineer discusses the popularity and use of pytest for Python testing.
From ACM Opinion