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New Intel® Select Solutions Give Businesses the Tools to Harness Artificial...

Artificial Intelligence (AI) workloads are a relatively new challenge for enterprises.  Much of the Deep Learning focus in AI has been on training—teaching neural networks to create the best model for...

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Growing Pains: Scaling Deep Learning Inference

Training an effective deep neural network is one thing, but deploying it in a way that keeps up with customer demand and is both performant and cost-efficient is hard. We’ve combined a heavily...

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What Is the Future of AI?

When it comes to artificial intelligence (AI), few people can match Andrew Ng’s breadth and depth of experience, combining research in a world-leading academic environment, accelerating AI education...

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Smart Robots: Out of the Lab, Into the World

For being one of the world’s leading artificial intelligence (AI) roboticists, Professor Pieter Abbeel doesn’t watch much sci-fi. Pieter is the Director of the UC Berkeley Robot Learning Lab and...

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How Can AI Help the Developing World?

According to World Bank, there are roughly 750 million people in extreme poverty, those who barely survive on $1.90 USD a day or less. While this fact is staggering, and even shameful given the...

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AI and the Future of Work

Are robots coming for your job? Well, maybe. In a recent Intel on AI episode, Intel’s Sandra Rivera and Abigail Hing Wen sat down to talk about how artificial intelligence (AI) will impact the future...

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Facing Tough Ethical Questions in AI

Chance are you know “the trolley problem”—a famous thought experiment wherein a person must choose between switching the direction of an out-of-control train, thereby selecting whether one or many...

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How Facebook Uses AI

2.7 billion people—more than one third of all humans on planet Earth—use Facebook. That’s a staggering figure! Despite its ubiquity, the centrality of AI—not just hand-written code—is probably...

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Where AI Falls Short

My colleague Abigail Wen is interviewing some of the greatest minds in artificial intelligence (AI) with her new podcast—Intel on AI. From Ivy-league professors to Fortune 50 executives, I’m pleasantly...

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The Oral History of AI

We can’t listen to Newton walk us through the early days of physics, or Darwin chatting about the origins of his “Origins of Species” work. However, we can hear about the early years of artificial...

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From Thanos to a Digital You

After creating the virtual villain in the highest-grossing movie of all time, you might wonder what’s next for a visual effect studio. For Digital Domain, it means expanding into somewhat uncharted...

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How Intel is Advancing Human and AI Collaboration

In writing about the world-renowned guests on the Intel on AI podcast, I’ve mostly covered innovators outside of our company. In this blog, however, I’m pleased to be highlighting the work happening...

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Getting Machines to Understand Human Emotions

Throughout season two of the Intel on AI podcast, many of the world’s most prominent artificial intelligence (AI) experts have talked about why they believe machines can’t simply improve performance on...

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The Importance of Algorithmic Fairness

Algorithmic fairness is a motif that plays throughout our podcast series: as we look to AI to help us make consequential decisions involving people, guests have stressed the risks that the automated...

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How Google DeepMind Turns AI Research into Application

Founded just over a decade ago (making it one of the oldest artificial intelligence firms) DeepMind cut its teeth teaching machines to master early video games—not so machines could displace humans in...

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