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Ulterior Motives
From 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 library, and other achievements...

Open-Endedness and Evolution through Large Models
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.

Designing to Avoid Worst-Case Outcomes
From ACM Opinion

Designing to Avoid Worst-Case Outcomes

Interaction designer Jonathan Shariat discusses harmful software design.

Linguistics and the Development of NLP
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...

I Was There When: AI Helped Create a Vaccine
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.

 Supercomputer Emulator: AI's New Role in Science
From ACM Opinion

Supercomputer Emulator: AI's New Role in Science

Chris Bishop, Microsoft's head of AI4Science, sees machine learning partially supplanting simulation.

'The New Generation of Computer Scientist Wants to Benefit Society'
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.

Democratizing LLMs Needs a Revolution in AI Hardware
From ACM Opinion

Democratizing LLMs Needs a Revolution in AI Hardware

Hardware barriers must be overcome to make LLMs available to a broader audience.

An Interview with Dana Scott
From Communications of the ACM

An Interview with Dana Scott

ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.

Testing in Python with pytest
From ACM Opinion

Testing in Python with pytest

Software engineer discusses the popularity and use of pytest for Python testing.

What Is So Great about Quantum Computing?
From ACM Opinion

What Is So Great about Quantum Computing?

A Q&A with NIST theorist Alexey Gorshkov.

How to Write Software with Mathematical Perfection
From ACM Opinion

How to Write Software with Mathematical Perfection

Leslie Lamport revolutionized how computers talk to each other, and now he's working on how engineers talk to their machines.

Turning a Million-Qubit Quantum Computing Dream into Reality
From ACM Opinion

Turning a Million-Qubit Quantum Computing Dream into Reality

Intel's director of quantum hardware talks about quantum computing's reliance on the next generation of chips.

Future of Computer Science Is in Its Application to Daily Life
From ACM Opinion

Future of Computer Science Is in Its Application to Daily Life

Microsoft India CTO Shivkumar Kalyanaraman believes computer science's future will be based on how it can be applied as a utility.

How Language-Generation AIs Could Transform Science
From ACM Opinion

How Language-Generation AIs Could Transform Science

University of Michigan's Shobita Parthasarathy warns that software designed to summarize, translate, and write like humans might exacerbate distrust in science....

The Future of Linux
From ACM Opinion

The Future of Linux

Fedora project leader Matthew Miller weighs in.

Crypto and Technology for the People
From ACM Opinion

Crypto and Technology for the People

Brown University professor Seny Kamara talks about the intersection between social responsibility and cryptography/technology

Supercomputing to Save the Planet
From ACM Opinion

Supercomputing to Save the Planet

Fujitsu CTO Vivek Mahajan says true power of cloud will come with democratizing HPC and quantum computers for the masses

Understanding Software Dynamics
From ACM Opinion

Understanding Software Dynamics

In an interview, computer architect Richard L. Sites discusses his new book

Machine-Learning Robustness, Foundation Models, and Reproducibility
From ACM Opinion

Machine-Learning Robustness, Foundation Models, and Reproducibility

An interview with Percy Liang, associate professor of Computer Science at Stanford University
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