Home > Uncategorized > Weekly QuEST Discussion Topics and News, 24 Apr

Weekly QuEST Discussion Topics and News, 24 Apr

QuEST for 24 April 2015

Our colleague Dean W will lead a discussion and is seeking feedback on his research:

What am I trying to do? – Increase the resilience of cyber-physical (specifically Industrial Control/SCADA) systems by applying formal verification techniques in a system of systems approach.

How will I do this? – Using model checking tools and specifically modeling malicious interactions of an external agent with the system under test as  a means of discovering any emergent vulnerabilities in the system of systems that normal function checking would not be looking for.

The Capt Amerika would like to flip through some charts from a recent review of technology trends for discussions from WEBBMEDIA group 2015 trend report – although the topics themselves are of general interest one of the discussion points we would like to emphasize is relationship of these trends to QuEST. For example:

ALGORITHMS

First year on the list

KEY INSIGHT

At its essence, an algorithm is simply a set of rules or processes that must be followed in order to solve a problem. For thousands of years (Euklid’s algorithm is 2,500 years old!) algo­rithms have been used to increase speed and efficiencies, and they’ve been applied to assist with our everyday tasks. In the coming year, we’ll see the launch of services using algorithms to create stunning designs, to curate the news and even to target voters for individual mes­saging in close political districts. We’ll see the rise of public algorithm exchanges. We will also begin questioning the ethics of how algorithms can be used, and we’ll scrutinize the tendency of some algorithms to go awry.

Project Dreamcatcher from Autodesk

Algorithmic Design

Project Dreamcatcher from Autodesk is the next wave of computational design systems. While it doesn’t replace a designer herself, it does give her the ability to feed a project’s de­sign requirements, constraints and exemplars into Dreamcatcher, whose algorithm will then return possible design concepts. If you’ve ever been in a meeting when a few people offer up an app they’d like to emulate, while others prefer a different user interface, algorithmic design systems can take the best of both, combine them into one and then help you refine the favored design.

Algorithm Marketplaces

Long ago, developers realized that everyone wins when knowledge is freely exchanged. As a result, communities of developers are offering up their algorithms in emerging algorithm marketplaces. Algorithmia is building a sort of Amazon for algorithms, where developers can upload their work to the cloud and receive payment when others pay to access it.DataXu offers a marketplace for its proprietary algorithms. Meantime Github, the code sharing network started by Linux creator Linus Torvalds, will continue to grow.

Algorithmic Curation

Algorithmic curation is a process that automatically determines what content should be displayed or hidden and how it should be present­ed to your audience. Facebook’s NewsFeed already uses an algo­rithm to curate all the posts created in your network to serve only the content it thinks will engage you most. It has deployed a new service, FB Techwire, across its network to surface embeddable news sto­ries for media organizations. Google and Yahoo news will continue to refine their algorithms, which use our online behaviors to deter­mine which content to show. In 2016 and beyond, we expect to see algorithms curating news content not just based on our interests, but also for our most recent behavior. Rather than delivering a full breaking news story to our mobile phones, algorithms will deliver the “waiting in line at Starbucks” version of that story, a more in-depth longread to our tablets, and a video version of that story once we’re in front of our connected TVs. As a result, news organizations and other content producers have thrilling opportunities in the year ahead to supercharge and personalize content in ways we have never seen before. (See also: Consumer > Device.)

Another example

05

SMART VIRTUAL PERSONAL ASSISTANTS (SVPAS)

Second year on the list

2015 Tech Trends | webbmediagroup.com | © 2014 Webbmedia Group

Key Insight

SVPAs made our list last year because they were just beginning to enter the market as stand-alone mobile apps. (Others call this technology “predictive applications” or “predictive intelligence.”) They used semantic and natural language processing, mined data from our calendars, email and contact lists and used the last few minutes of our behavior to anticipate the next 10 seconds of our thinking in order to help consumers manage daily tasks, finances, diet and more. In 2015, we will see SVPA technology become a key part of emerging platforms and devices.

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