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Why Machine Learning Can't Understand Human Language
From ACM Opinion

Why Machine Learning Can't Understand Human Language

While larger deep neural networks can incrementally improveme specific tasks, they aren't fit for general natural language understanding.

Kubernetes Magic Is in Enterprise Standardization, Not App Portability
From ACM Opinion

Kubernetes Magic Is in Enterprise Standardization, Not App Portability

Kubernetes isn't going to magically make your applications portable, but it just might give you something even better.

Why It's So Hard to Make Tech More Diverse
From ACM Opinion

Why It's So Hard to Make Tech More Diverse

Block Party founder Tracy Chou reflects on the obstacles she's encountered as a tech entrepreneur.

If You Say 'Science Is Right,' You're Wrong
From ACM Opinion

If You Say 'Science Is Right,' You're Wrong

It can't supply absolute truths about the world, but it brings us steadily closer.

What OpenAI and GitHub's AI Pair Programmer Means for the Software Industry
From ACM Opinion

What OpenAI and GitHub's AI Pair Programmer Means for the Software Industry

AI-powered code generator provides some interesting hints about the business of large language models and the future of the software industry.

Robots Were Supposed to Take Our Jobs. Instead, They're Making Them Worse.
From ACM Opinion

Robots Were Supposed to Take Our Jobs. Instead, They're Making Them Worse.

The robot apocalypse is already here, it just looks different than you thought.

Algorithmic Impact Assessments Should Leverage Diverse Expertise and Complex Histories
From ACM Opinion

Algorithmic Impact Assessments Should Leverage Diverse Expertise and Complex Histories

There is a pressing need to establish algorithmic impact assessment practices from the ground up.

Alondra Nelson Wants to Make Science and Tech More Just
From ACM Opinion

Alondra Nelson Wants to Make Science and Tech More Just

The deputy director of the White House science office plans to tackle algorithmic bias and start candid conversations about the past.

Tesla AI Chief Says Self-Driving Cars Don't Need Lidar
From ACM Opinion

Tesla AI Chief Says Self-Driving Cars Don't Need Lidar

Andrej Karpathy shares why the company still believes in a purely vision-based autonomous driving solution.

 The Danger of Anthropomorphic Language in Robotic AI Systems
From ACM Opinion

The Danger of Anthropomorphic Language in Robotic AI Systems

Clear, non-anthropomorphic language is central to dismantling misconceptions of AI as a black box.

97 Things Every Java Developer Should Know
From ACM Opinion

97 Things Every Java Developer Should Know

Book authors discuss compilation featuring expert advice from Java leaders and practitioners.

Paving the Way Towards Trustworthy and Responsible AI
From ACM Opinion

Paving the Way Towards Trustworthy and Responsible AI

Public sector AI innovation needs a more sophisticated, data-driven, and mature approach to ensure effectiveness of governments and better citizen outcomes.

Q&A with Google's Bill Magro
From ACM Opinion

Q&A with Google's Bill Magro

Google's new chief technologist of HPC talks quantum computers, AI, cloud, silicone packaging, interconnect technology, and expanding HPC's reach.

Lethal Autonomous Weapons Exist; They Must Be Banned
From ACM Opinion

Lethal Autonomous Weapons Exist; They Must Be Banned

It may not be too late to put the evil "slaughterbots" genie back in the bottle, if the world acts now.

An Interview with Jim Keller: 'The Laziest Person at Tesla'
From ACM Opinion

An Interview with Jim Keller: 'The Laziest Person at Tesla'

Veteran chip designer covers his past lives, Moore's Law, AI-designed chips, security, ethics, and more.

 The Next Critical Talent Shortage Won't Be Fortran
From ACM Opinion

The Next Critical Talent Shortage Won't Be Fortran

To understand where talent shortages might arise, look at critical infrastructure.

Responsible Computing During COVID-19 and Beyond
From Communications of the ACM

Responsible Computing During COVID-19 and Beyond

Navigating the ethical and societal impacts of technologies.

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
From Communications of the ACM

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)

Differential privacy is not a silver bullet for all privacy problems.

Large Language Models Associate Muslims with Violence
From ACM Opinion

Large Language Models Associate Muslims with Violence

New approaches are needed to systematically reduce the harmful bias of language models in deployment.

Research Collaborations Bring Big Rewards: The World Needs More
From ACM Opinion

Research Collaborations Bring Big Rewards: The World Needs More

We need diverse teams collaborating to help navigate and overcome social and geopolitical challenges.
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