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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.

Securing Kubernetes Environments
From ACM Opinion

Securing Kubernetes Environments

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

Four AI Trends for 2022
From ACM Opinion

Four AI Trends for 2022

Look for improvements to neural networks, strategic ethics, hiring practices, and even gastronomy

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

The Inherent Limitations of GPT-3
From ACM Opinion

The Inherent Limitations of GPT-3

Why GPT-3 as is will not cost many people their jobs or soon lead to AGI

Computational Thinking for Professionals
From Communications of the ACM

Computational Thinking for Professionals

Professionals practice a form of computational thinking that is significantly more advanced than popular descriptions suggest.

Anne Carpenter: Her Machine Learning Tools Pull Insights from Cell Images
From ACM Opinion

Anne Carpenter: Her Machine Learning Tools Pull Insights from Cell Images

Computational biologist brings the power of machine learning to researchers seeking answers in mountains of cell images

Medical Artificial Intelligence
From Communications of the ACM

Medical Artificial Intelligence: The European Legal Perspective

Although the European Commission proposed new legislation for the use of "high-risk artificial intelligence" earlier this year, the existing European fundamental...

Explicative Programming
From Communications of the ACM

Explicative Programming

Making Computational Thinking relevant to schools.

Text and Data Mining of In-Copyright Works
From Communications of the ACM

Text and Data Mining of In-Copyright Works: Is It Legal?

How copyright law might be an impediment to text and data mining research.

Will the Cloud Eat Your AI?
From ACM Opinion

Will the Cloud Eat Your AI?

Big cloud providers have a lot going for them when it comes to AI, but are they the only game in town?

America Is Being Held for Ransom, and It Needs to Fight Back
From ACM Opinion

America Is Being Held for Ransom, and It Needs to Fight Back

A comprehensive anti-ransomware strategy must make it tougher for criminal groups and their sponsors to carry out attacks

Yann LeCun Talks Research Beginnings and Recent Developments
From ACM Opinion

Yann LeCun Talks Research Beginnings and Recent Developments

Deep-learning pioneer discusses early days in image-processing and developments in self-supervised learning for computer vision

AI Futures
From Communications of the ACM

AI Futures: Fact and Fantasy

Three books offer varied perspectives on the ascendancy of artificial intelligence.

Competitive Compatibility
From Communications of the ACM

Competitive Compatibility: Let's Fix the Internet, Not the Tech Giants

Seeking to make Big Tech less central to the Internet.
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