IT News - AI
2019 Sep 13
The Fourth Generation Of AI Is Here, And It's Called 'Artificial Intuition'
TheNetWeb, September 3rd, 2020

Mark Gazit writes in TheNetWeb, "The first generation of AI was 'descriptive analytics,' which answers the question, 'What happened?' The second, 'diagnostic analytics,' addresses, 'Why did it happen?' The third and current generation is 'predictive analytics,' which answers the question, 'Based on what has already happened, what could happen in the future?'

While predictive analytics can be very helpful and save time for data scientists, it is still fully dependent on historic data. Data scientists are therefore left helpless when faced with new, unknown scenarios. In order to have true 'artificial intelligence,' we need machines that can 'think' on their own, especially when faced with an unfamiliar situation. We need AI that can not just analyze the data it is shown, but express a 'gut feeling' when something doesn't add up. In short, we need AI that can mimic human intuition. Thankfully, we have it..."
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2019 Sep 13
7 Machine Learning Challenges Businesses Face While Implementing
AWS News, October 31st, 2020

"Machine Learning is an invaluable technology that more than 50% of businesses are already exploring or planning to adopt," writes Shardul Bhatt in AWS News.

"It is a key player in the digital transformation of your organization.

However, while implementing Machine Learning, your business is likely to look at the positive side of things. There are multiple Machine Learning challenges that you may forget even exist.

Solving these Machine Learning problems is crucial to the success of your entire digital transformation initiative. You don't want to get stuck in management struggles or half-hearted Machine Learning projects that yield no result.

In this article, we will highlight the 7 Machine Learning challenges that your business can face while implementing. You will also learn how to find quick solutions to these problems in Machine Learning projects..."
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2019 Sep 13
Feds Investing $1B To Fund 12 New AI Institutes
aitrends, September 3rd, 2020

"The announcement was from the White House Office of Science and Technology Policy, the National Science Foundation (NSF) and the US Department of Energy (DOE), in a release issued from the Brookhaven National Laboratory of Upton, N.Y.

The $1 billion will go toward NSF-led AI Research Institutes and DOE QIS Research Centers of five years, establishing 12 multi-disciplinary and multi-institutional national hubs for research and workforce development. The goals are to spur innovation, support regional economic growth and advance American leadership in strategic industries..." - aitrends
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2019 Sep 13
Google Debuts New AI Features And Tools To Advance MLOps
siliconANGLE, September 1st, 2020

"The focus of today's updates is all about machine learning," writes Mike Wheatley in siliconANGLE, "and, in particular, the emerging MLOps discipline that's aimed at putting machine learning workflows into operation by fostering more collaboration and better communication between data scientists and developers.

Google's AI Platform is a suite of tools that's meant to enable MLOps. It enables machine learning developers, data scientists and data engineers to take their ideas around ML and develop these into actual projects that can be deployed in production quickly and without excessive costs..."
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