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Adam Dymitruk on Event Modeling
From ACM Opinion

Adam Dymitruk on Event Modeling

Exploring the event-modeling approach to discovering requirements and designing software systems.

The Computer Scientist Who Is Boosting Privacy on the Internet
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.

AI and ML Observability
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.

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.

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...

The AI Researcher Giving Her Field Its Bitter Medicine
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.

 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.

The Computer Scientist Challenging AI to Learn Better
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.

How to Solve AI's 'Common-Sense' Problem
From ACM Opinion

How to Solve AI's 'Common-Sense' Problem

AI systems without common sense will make mistakes when they reach the limits of where they've been trained.

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.

Yann LeCun's Bold New Vision for the Future of AI
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.

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.

Teaching Robots to Help People in Their Everyday Lives
From ACM Opinion

Teaching Robots to Help People in Their Everyday Lives

An interview with Max Braun of Everyday Robots.

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.

Computers Have Memories Too
From ACM Opinion

Computers Have Memories Too

Simons Foundation Junior Fellow Sebastian Wolff discusses his quest to simplify the switch between the two deletion processes.

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.
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