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Security: The Lock and the Key to Blockchain's Future
From ACM Opinion

Security: The Lock and the Key to Blockchain's Future

For blockchain technology to fulfill its full potential, the security standard needs to mature

The Ecological Impacts of Computation and the Cloud
From ACM Opinion

The Ecological Impacts of Computation and the Cloud

The cloud is not only material but also an ecological force

Futures of Digital Governance
From Communications of the ACM

Futures of Digital Governance

Seeking to increase the interoperability among the technical and social sciences toward new forms of governance associated with digital technology.

Copyright Implications of Emulation Programs
From Communications of the ACM

Copyright Implications of Emulation Programs

How emulation programs might be affected by new claims of copyright infringement.

China's 5G Soars over America's
From ACM Opinion

China's 5G Soars over America's

In some U.S. cities, 5G is slower than the old 4G system; Washington must make it a priority

Andrew Ng Calls for Smart-Sized, 'Data-Centric' Solutions to Big Issues
From ACM Opinion

Andrew Ng Calls for Smart-Sized, 'Data-Centric' Solutions to Big Issues

AI pioneer says he has identified the next big shift in artificial intelligence

Understanding Software Dynamics
From ACM Opinion

Understanding Software Dynamics

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

The Rise and Fall (and Rise) of Datasets
From ACM Opinion

The Rise and Fall (and Rise) of Datasets

Retired and redacted datasets flagged as harmful or biased continue to rear their ugly heads

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

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?

Artificial Intelligence Across Company Borders
From Communications of the ACM

Artificial Intelligence Across Company Borders

Enabling effective cross-company AI without data disclosure.

Addressing Algorithmic Discrimination
From Communications of the ACM

Addressing Algorithmic Discrimination

Considering the intersection of technical design and civil rights when building and using classification algorithms.

Log4j Vulnerability: Why Your Hot Take on It Is Wrong
From ACM Opinion

Log4j Vulnerability: Why Your Hot Take on It Is Wrong

Log4j vulnerability is too complex to be boiled down to just single cause

The Dream of U.S.-Made Computer Chips
From ACM Opinion

The Dream of U.S.-Made Computer Chips

Before we invest in making more chips on U.S. soil, we should be asking what we're trying to achieve

AWS Has a Sexy New Modernization Play: Mainframes
From ACM Opinion

AWS Has a Sexy New Modernization Play: Mainframes

AWS announced a range of cool services at re:Invent 2021, but none more important than its Mainframe Modernization service

Your Response to AWS Going Down Shouldn't Be Multicloud
From ACM Opinion

Your Response to AWS Going Down Shouldn't Be Multicloud

It's convenient but wrong to assume multicloud will solve your application resilience woes

How Much Has Quantum Computing Actually Advanced?
From ACM Opinion

How Much Has Quantum Computing Actually Advanced?

John Martinis, former chief architect of Google Sycamore, offers a measured perspective on quantum's progress

Securing Kubernetes Environments
From ACM Opinion

Securing Kubernetes Environments

Lack of resources is a massive blocker, so IT leaders need to prioritize

Be Wary of Trusting Algorithms in Volatile Markets
From ACM Opinion

Be Wary of Trusting Algorithms in Volatile Markets

IT leaders can prevent disaster by understanding and articulating the risks of relying on increasingly complex algorithms
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