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News, Features, and Interviews
To help researchers and data scientists intuintively explore huge and complex data in great detail, a couple of software developers from UTS built a 3D, 360-degree data visualisation room.
For decades we’ve been teaching machines how to classify and determine things in the world, giving them many examples to draw from. But what if they could teach themselves?
Data silos within Asia Pacific organisations are raising IT costs and security risks, while limiting the ability of organisations to make insight-based decisions, according to IDC research released on Tuesday.
Virgin Australia has announced its acquisition of Australian data analytics firm Torque Data with plans to integrate it with Virgin’s customer loyalty business, the Velocity Frequent Flyer program.
Insufficient infrastructure is preventing Australian organisations from rolling out successful big data projects, new research has found.
In the 1990s, average computers ran on megabytes of RAM and processing power under 100MHz, with hundreds of gigabytes of global Internet traffic being generated each day. Nowadays, RAM is in gigabytes and processing power is in the thousands of MHz, with hundreds of terabytes of Internet traffic per second.
Calling Apache Spark "the most important new open source project in a decade that is being defined by data," IBM today announced that it will embed the compute engine into its analytics and commerce platforms and offer Spark as a service on IBM Bluemix.
Deep learning has proven to be a powerful method for going about artificial intelligence over the last few years, which has led to a growing interest in it across industries. So how does it generally work?
After about a year-and-a-half of development, big data application platform specialist Concurrent today released a new version of the open source Cascading big data application framework.
CIO looks at how organisations are using artificial intelligence, including one of the most talked about facets of machine learning – deep learning.
Big Data. Predictive analytics. Real-time. Actionable insight. There's a buzzword smorgasbord around the use of data to derive value. It doesn't help that sometimes the benefits can be esoteric, or at least hard to visualize. But sometimes the benefits are crystal clear, as in the fight against sepsis, one of the leading killers in the US.
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