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Humans and AI: Problem Finders and Problem Solvers
From ACM Opinion

Humans and AI: Problem Finders and Problem Solvers

Technologies such as AlphaCode cannot think about and design their own problems, but they are very good problem solvers

Tracing the Evolution of the Computer, from Unusual to Ubiquitous
From ACM Opinion

Tracing the Evolution of the Computer, from Unusual to Ubiquitous

New book chronicles computer's journey from scientific instrument to general-purpose device

The Inevitability of Trusted Third Parties
From ACM Opinion

The Inevitability of Trusted Third Parties

The search for a crypto use case continues

The Race to Save the Internet from Quantum Hackers
From ACM Opinion

The Race to Save the Internet from Quantum Hackers

The quantum computer revolution could break encryption, but more-secure algorithms can safeguard privacy

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

Connecting Large Language Models to Human Values
From ACM Opinion

Connecting Large Language Models to Human Values

AI researcher Connor Leahy talks about replicating GPT-2/GPT-3, superhuman AI, AI alignment, AI risk and research norms, and more

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

Why Is Silicon Valley Still Waiting for the Next Big Thing?
From ACM Opinion

Why Is Silicon Valley Still Waiting for the Next Big Thing?

Have the big thinkers of tech lost their mojo?

Open Source Intelligence
From ACM Opinion

Open Source Intelligence

Averting strategic surprises requires uncovering secrets hidden in plain sight

The Turing Trap
From ACM Opinion

The Turing Trap

The promise and peril of human-like artificial intelligence

Microsoft Quantum Computing Exec Sees Progress
From ACM Opinion

Microsoft Quantum Computing Exec Sees Progress

Company's novel, risky approach to quantum computing might be ready to put setbacks behind it

Facebook's Unglamorous Mistakes
From ACM Opinion

Facebook's Unglamorous Mistakes

Facebook's little mistakes have big consequences, too, but only for us

Is LiDAR on Its Way Out?
From ACM Opinion

Is LiDAR on Its Way Out?

As automation proliferates, sensing is increasingly moving toward software and away from LiDAR

Why Better AI May Depend on Fake Data
From ACM Opinion

Why Better AI May Depend on Fake Data

Synthetic data can provide AI with a broader education than real-world data, but challenges exist

Robot Learning at Google and Generalization via Language
From ACM Opinion

Robot Learning at Google and Generalization via Language

Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning

Individual AI, a New Technology that Will Change Our World?
From ACM Opinion

Individual AI, a New Technology that Will Change Our World?

Is the next version of AI a technological symbiosis of the human brain and the computer system?

Does AI Understand Our Language?
From ACM Opinion

Does AI Understand Our Language?

Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?

The Benefits of Rust
From ACM Opinion

The Benefits of Rust

An in-depth discussion about the virtue of Rust, its future, and more

2021 Was the Year of Monster AI Models
From ACM Opinion

2021 Was the Year of Monster AI Models

GPT-3 kicked off a new trend in AI for bigger and bigger models, but how large will they get?
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