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Understanding Artificial Intelligence: 3 Key Concepts

CTOvision

Artificial intelligence’s progress is staggering. Big data analytics, medical research, and automated transportation are only a handful of the incredible applications emerging from AI. What makes data mining, natural language processing, and driving software possible?

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Understanding Artificial Intelligence: 3 Key Concepts

CTOvision

Artificial intelligence’s progress is staggering. Big data analytics, medical research, and automated transportation are only a handful of the incredible applications emerging from AI. What makes data mining, natural language processing, and driving software possible?

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How artificial intelligence went from science fiction to science itself?

Dataconomy

The timeline of artificial intelligence takes us on a captivating journey through the evolution of this extraordinary field. It all began in the mid-20th century, when visionary pioneers delved into the concept of creating machines that could simulate human intelligence.

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Loadsmart raises $90 million for AI that matches shippers with truck transportation

Venture Beast

Loadsmart, a startup deploying AI that matches shippers with truck transportation, has raised $90 million in fresh capital. Read More.

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Google’s Transporter Network uses minimal data to teach robots to stack blocks

Venture Beast

Google researchers propose Transporter Networks, AI models that learn from few examples to complete robot grasping tasks. Read More.

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Register With 20% Discount Code for San Jose Strata Hadoop World

CTOvision

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Why You Should Attend.

Big Data 152
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Overview of how Apache Spark fits in the Apache Hadoop ecosystem

CTOvision

Perhaps the greatest are the many solutions around Machine Learning and Artificial Intelligence. However, there is also a growing need for speed, including speed in parsing streaming data for real-time decision making. Enterprises who seek to use Spark will want to do so in a way that ensures it works with everything else.