AI

Steph Locke on building a solid foundation in data science at Talent Garden

We spoke to Steph Locke, one of the most influential data scientists on the planet, about how much background is needed to build a solid foundation in data science and how to future-proof those skills. Steph Locke is something of a game-changer in the data science industry. She is one of just three individuals in […]

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U.S. Government Investing in AI Research

The U.S. has been at the head of AI research since its inception but, in recent years, China has made significant headway and narrowed the gap. Now, according to a report in U.S. News & World Report, non-military AI research is set to get a significant boost by the U.S. government. In fact, in the

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What is Intelligence in Artificial Intelligence?

Sep 21, 2019 Posted by Dr. Nidhi Arora in Artificial Intelligence, Head Scratch | 0 comments Technology is changing at a very high pace day by day. Since the invention of computers, they are growing in terms of their features. Their capability to perform various tasks is growing exponentially. New devices have been developed which

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Amazon Announces Voice Interoperability Initiative—Leaves Out Apple and Google

There’s no doubt that virtual assistants and AI-based voice services are one of the next big things in the technology industry. Long the stuff of science fiction, voice-based computing represents the next leap in computer interface and usability paradigms. As a result, virtually all the major players are pushing ahead with development. It should come

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Facebook acquires Ctrl-labs to advance its brain-machine interface efforts

Facebook this evening announced it intends to buy Ctrl-labs, a New York-based startup developing a wristband that translates musculoneural signals into machine-interpretable commands. The acquisition hasn’t yet closed, and the terms weren’t revealed publicly. (CNBC pegs its size at approximately $1 billion, half the amount Facebook paid to acquire virtual reality company Oculus VR in

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A Conversation with Hilary Mason – Gigaom

Today’s leading minds talk AI with host Byron Reese About this Episode On this Episode of Voices in AI features Byron speaking with Hilary Mason, an acclaimed data and research scientist, about the mechanics and philosophy behind designing and building AI. Listen to this episode or read the full transcript at www.VoicesinAI.com Transcript Excerpt Byron

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Kheiron raises $22 million for machine learning that helps radiologists detect cancer earlier

Kheiron Medical Technologies (Kheiron), a machine learning startup that’s setting out to help radiologists detect the early signs of cancer, has raised $22 million in a series A round of funding led by European VC firm Atomico, with participation from Greycroft, Connect Ventures, Hoxton Ventures, and Exor Seeds. Founded out of London in 2016, Kheiron’s

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AWS launches GPU-powered G4 instances for machine learning, graphics rendering

Amazon Web Services Inc. is making its platform more attractive for companies adopting artificial intelligence. The cloud giant today announced the general availability of the G4 instance family, which consists of six virtual machines optimized for machine learning workloads. They succeed the G3 series that AWS introduced back in 2017. The performance difference is considerable:

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Predict Conference 2019 Bringing Data To Life, 1st October

That time of the year is here again when Predict Conference 2019 takes place covering the world of big data including data science, data analytics and predictive technologies like machine learning and AI. I chatted with Cronan McNamera, Founder and CEO of Creme Global who hosts Predict Conference here in Dublin, Ireland. He kindly answered

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Customer choice drives Pure’s offering with AWS as it expands hybrid cloud options

When it comes to storage capabilities, what does the hybrid cloud mean to an enterprise? For Pure Storage Inc., the answer is being able to send data inexpensively to the public cloud, having the ability to restore information either on-premises or in the cloud, and backing up data volumes across a multitude of platforms. “What

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