IT News - AI

Artificial Intelligence Trends For 2019
ITProPortal, November 22nd, 2018

Ben Lorica, Chief Data Scientist at O'Reilly Media, Inc. and Programme Director of both the Strata Data Conference and the Artificial Intelligence Conference takes a look at the trends that will shape AI in 2019..."

"Open your Facebook feed, a newspaper or turn on the news and you'll likely see something about the dangers of machine learning, the increasing amount of fake news or even the dangers of AI on our privacy," notes Ben Lorica in ITProPortal.

"Yet, these technologies are continuing to develop and thanks to new developments in automation and machine deception - they will continue to shape the use of AI over the coming year..."

George Anadiotis writes in ZDNet, "It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where you are in your AI journey..."

"Looking to dive into all you need to know about machine learning?" asks Nirmal Patel in SmartDataCollective. "Here's where to start and how to better understand the process...

Before discussing the ways in which you can learn all you need to know about machine learning, we would like to discuss what the subject matter actually is. Machine learning is essentially teaching a computer how to make decisions with the help of relevant data. It is very important for the computer to be able to understand patterns without being fully programmed. The demand for machine learning is an all-time high. It is a skill set which you want to possess, especially in this computer savvy era..."

"Telefonica researchers may have found a solution for a problem that plagues algorithms," reports Thomas Macaulay in techworld. "People who suffer from memory loss could find kindred spirits in machines who suffer from a condition known as 'catastrophic forgetting'.

The affliction is caused when neural networks are trained to complete new tasks.

These systems learn by analysing training data that helps them interpret future information, whether they're facial recognition software scanning profile photos to learn how to detect humans in a video, or self-driving cars studying obstacles on the road to understand what they need to avoid..."

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