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Why We Can't Develop Voting Software That Works
From ACM Opinion

Why We Can't Develop Voting Software That Works

Ever wonder why we could write software to get to the Moon, but not to count votes? Here are five reasons.

Challenging the Myth of the 10x Programmer
From ACM Opinion

Challenging the Myth of the 10x Programmer

A pervasive belief in software engineering is that some programmers are much better than others, and that their skills, abilities, and talents exert an outsized...

 Towards a Conversational Agent that Can Chat About…Anything
From ACM Opinion

Towards a Conversational Agent that Can Chat About…Anything

In "Towards a Human-like Open-Domain Chatbot", we present Meena, a 2.6-billion-parameter end-to-end trained neural conversational model.

Numbers Are for Computers, Strings Are for Humans
From Communications of the ACM

Numbers Are for Computers, Strings Are for Humans

How and where software should translate data into a human-readable form.

Are We Losing Momentum?
From Communications of the ACM

Are We Losing Momentum?

Estimating when the second half of the world will come online.

A* Search
From Communications of the ACM

A* Search: What's in a Name?

A search for algorithmic answers returns unique results.

Increasing Automation in Policing
From Communications of the ACM

Increasing Automation in Policing

Seeking the delicate balance between civil liberties and policing public safety.

Google AI Chief Jeff Dean on Machine Learning Trends in 2020
From ACM Opinion

Google AI Chief Jeff Dean on Machine Learning Trends in 2020

Google AI chief Jeff Dean discusses Google's early work on the use of ML to create semiconductors for machine learning, the impact of Google's BERT on conversational...

Stop Saying Driverless Cars Will Help Old People
From ACM Opinion

Stop Saying Driverless Cars Will Help Old People

And maybe start including them in research instead of just assuming we know what they want.

Uncertainty
From Communications of the ACM

Uncertainty

Considering how to best navigate stability and randomness.

Koding Academies
From Communications of the ACM

Koding Academies

A low-risk path to becoming a front-end plumber.

Removing the Risk of AI Bias in the Public Sector
From ACM Opinion

Removing the Risk of AI Bias in the Public Sector

What practical steps can be taken to drive ethical, unbiased AI use in the public sector?

Why Google's Quantum Supremacy Milestone Matters
From ACM Opinion

Why Google's Quantum Supremacy Milestone Matters

Quantum computing is the first computing paradigm since Turing expected to change the fundamental scaling behavior of algorithms, making certain tasks feasible...

50 Years Ago, I Helped Invent the Internet. How Did It Go So Wrong?
From ACM Opinion

50 Years Ago, I Helped Invent the Internet. How Did It Go So Wrong?

We did not anticipate that the dark side of the Internet would emerge with such ferocity. Or that we would feel an urgent need to fix it.

Algorithms, Platforms, and Ethnic Bias
From Communications of the ACM

Algorithms, Platforms, and Ethnic Bias

How computing platforms and algorithms can potentially either reinforce or identify and address ethnic biases.

An Interview with Leonard Kleinrock
From Communications of the ACM

An Interview with Leonard Kleinrock

The UCLA professor and networking pioneer reflects on his career in industry and academia.

An Interview with Leonard Kleinrock
From Communications of the ACM

An Interview with Leonard Kleinrock

The UCLA professor and networking pioneer reflects on his career in industry and academia.

Are We Witnessing A New Sputnik Moment In IT?
From ACM Opinion

Are We Witnessing A New Sputnik Moment In IT?

Google's engineers have succeeded in designing a quantum computer which, for the first time ever, has solved a problem a conventional computer is not able to. Are...

How Artificial Intelligence Is Supercharging Materials Science
From ACM Opinion

How Artificial Intelligence Is Supercharging Materials Science

MIT Associate Professor Juejun Hu shines a light on the impact machine learning and AI are having on materials science and engineering.

Asimov's Three Laws Have Failed the Robots
From ACM Opinion

Asimov's Three Laws Have Failed the Robots

Almost no one thinks that Isaac Asimov's Three Laws could work for truly intelligent AI.
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