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Achievement in Microarchitecture
From Communications of the ACM

Achievement in Microarchitecture

David Papworth, a 30-year veteran of Intel, on what led to the P6 microprocessor and how that changed the microarchitectural paradigm.

NVIDIA at the Center of the Generative AI Ecosystem – For Now
From Communications of the ACM

NVIDIA at the Center of the Generative AI Ecosystem – For Now

Assessing the ascent of NVIDIA.

Data Bias Management
From Communications of the ACM

Data Bias Management

Envisioning a unique approach toward bias and fairness research.

Is AI Leading to a Reproducibility Crisis In Science?
From ACM Opinion

Is AI Leading to a Reproducibility Crisis In Science?

Scientists worry that ill-informed use of artificial intelligence is driving a deluge of unreliable or useless research.

Thus Spake ChatGPT
From Communications of the ACM

Thus Spake ChatGPT

On the reliability of AI-based chatbots for science communication.

Why Is the Current XAI Not Meeting the Expectations?
From Communications of the ACM

Why Is the Current XAI Not Meeting the Expectations?

Seeking better explanations for how algorithmic decisions are made.

There Was No 'First AI Winter'
From Communications of the ACM

There Was No 'First AI Winter'

Despite challenges and failures, the artificial intelligence community grew steadily during the 1970s.

The Infrapolitics of Algorithmic Resistance
From Communications of the ACM

The Infrapolitics of Algorithmic Resistance

Exploring the complex interactions between humans and machines governed by algorithms.

Machine Learning Sensors
From Communications of the ACM

Machine Learning Sensors

A design paradigm for the future of intelligent sensors.

Generative AI as a New Innovation Platform
From Communications of the ACM

Generative AI as a New Innovation Platform

Considering the stability and longevity of a potential new foundational technology.

Dilemma of the Artificial Intelligence Regulatory Landscape
From Communications of the ACM

Dilemma of the Artificial Intelligence Regulatory Landscape

Navigating the complex and varying AI regulatory landscape.

Fragility in AIs Using Artificial Neural Networks
From Communications of the ACM

Fragility in AIs Using Artificial Neural Networks

Suggesting ways to reduce fragility in AI systems that include artificial neural networks.

There Is Little Evidence for Today's AI Alarmism
From ACM Opinion

There Is Little Evidence for Today's AI Alarmism

Over time, we will have a much better sense of which AI areas require significant regulatory intervention and which do not.

Who Should Make the Rules that Govern AI?
From ACM Opinion

Who Should Make the Rules that Govern AI?

One question for Laura Weidinger and Iason Gabriel, research scientists at Google DeepMind.

Can Generative AI Bots Be Trusted?
From Communications of the ACM

Can Generative AI Bots Be Trusted?

It will be a long road to learning how to use generative AI wisely.

Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
From Communications of the ACM

Conjoined Twins: Artificial Intelligence and the Invention of Computer Science

How artificial intelligence and computer science grew up together.

Unfair Automated Hiring Systems Are Everywhere
From ACM Careers

Unfair Automated Hiring Systems Are Everywhere

The U.S. Federal Trade Commission urgently needs to regulate automated hiring systems.

When AI Thinks You Are Dead
From ACM Opinion

When AI Thinks You Are Dead

AI hallucinations can be amusing, but the consequences for society could be dangerous.

Why Conscious AI Is a Bad Idea
From ACM Opinion

Why Conscious AI Is a Bad Idea

Our minds have not evolved to deal with machines we believe have consciousness.

You Can't Regulate What You Don't Understand
From ACM Opinion

You Can't Regulate What You Don't Understand

Why AI regulations should begin with mandated disclosures.
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