The Cost and Speed of Computing and Communications 1956-2019

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The Economist

The price of computation today is roughly one hundred-millionth what it was in the 1970s, when the first microprocessors became commercially available (see chart). According to figures collected by John McCallum, a computer scientist, a megabyte of data storage in 1956 would have cost around $9,200 ($85,000 in today’s prices). It now costs just $0.00002.

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59% of U.S. Adults Trust Law Enforcement to Use Facial Recognition Responsibly

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Pew Research Center:

59% of US adults say it is acceptable for law enforcement to use facial recognition to assess security threats in public spaces; only 15% say it is acceptable for advertisers to use facial recognition to see how people respond to public ad displays; 13% of US adults have not heard about facial recognition and 25% say they heard a lot.

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The Rise and Rise of Required Digital Skills

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Brookings Institution:

In 2002, 56 percent of the jobs studied required low amounts of digital skills. Nearly 40 percent of jobs required medium digital skills and just 5 percent required high digital skills.

A lot has changed. By 2016, the share of jobs requiring high digital skills had jumped to 23 percent. The share requiring medium digital skills rose to 48 percent. And in a huge shift, the share of jobs requiring low digital skills fell from 56 to 30 percent.

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Gartner Hype Cycle for Digital Government Technology

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Gartner:

Cloud office is the only technology to enter the Plateau of Productivity in the 2019 Gartner Hype Cycle for Digital Government Technology, according to Gartner, Inc.  The Plateau of Productivity highlights technologies that are hitting mainstream adoption within organizations….

Government agencies are moving rapidly to adopt cloud-office platforms because of the desire to consolidate collaboration environments, reduce costs, redeploy IT staff, drive simplicity and provide more functionality to users more quickly. Cloud office makes the introduction of capabilities including everyday artificial intelligence (AI), mobile collaboration, collaborative content authoring and workstream collaboration part of the mainstream.

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AI by the Numbers: 69% of IT Executives Say They Cannot Respond to Cybersecurity Threats Without AI

AIimageThe recent surveys, studies, forecasts and other quantitative assessments of the health and progress of AI highlighted the role of AI in cybersecurity defense and in scoring standardized tests, the relationships between data migrating to the cloud and data modernization, lax security standards for IoT devices, and that the U.S. still leads the global race for AI domination but that China is making more rapid progress.

Read more here

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Elon Musk and Jack Ma Debate AI

“AI will open a new chapter so that humans will know themselves better. Most of the projections about AI are wrong … people who are street-smart about AI are not scared by it”—Jack Ma

“Humans may become too slow. A millisecond is an eternity to a computer today. Computers are already smarter than human beings in many aspects [adding that while humans write AI software today, in the end the machine will do this itself]—Elon Musk

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Artificial Intelligence (AI): A Brief History

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IDC: $2.6 Billion AI Software Platforms Market, Growing at 26.6%

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“The artificial intelligence software platforms market experienced steady growth in 2018, with revenue of $2.6 billion and a growth rate of 26.6%,” says David Schubmehl, research director, Cognitive/Artificial Intelligence Systems, IDC. ” IDC is seeing that in 2018 organizations have been moving from experimentation to production with the use of AI applications within their business processes. The AI software platforms market is seeing growth in providing the tools and capabilities that organizations are using to develop these applications. IDC expects to see this trend to continue, even though open source platforms and technologies are also seeing growth in this market.”

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AI Market Incremental Growth 2019-2023: $75.54 Billion

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Source: Technavio

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AI by the Numbers: $2.9 Trillion of Business Value in 2021

deep_learning_meme_kerasThe recent surveys, studies, forecasts and other quantitative assessments of the health and progress of AI estimated the impact on productivity of human-machine collaboration, the number of jobs that could be automated in major U.S. cities, and the size of the future AI in retail and healthcare markets; and found AI optimism among the general population, algorithms outperforming (again) pathologists, and that our very limited understanding of how our brains learn may improve machine learning.

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