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Researchers at the MIT Media Lab, think that facial recognition software has problems recognizing black faces because its algorithms are usually written by white engineers who dominate the technology sector. These engineers build on pre-existing code libraries, typically written by other white engineers.

In September, the Wikimedia Foundation won a $250,000 grant from the Knight Foundation to start building the "Wikimedia Knowledge Engine," a "system for discovering reliable and trustworthy public information on the internet," according to grant documents, which were released late last week. That the Knowledge Engine, now known as "Wikimedia Discovery," even existed was news to the Wikipedia editors community, who say the project's secretive nature and very existence are fundamentally at odds with Wikimedia's transparent ethos.

New Scientist article on 'Knowledge Engines'. Provides further confusion between definitions of information and knowledge. Wolfram Alpha revealed as Apple's SIRI answer engine. 

Google answers these questions with the help from deep neural networks, a form of artificial intelligence rapidly remaking not just Google's search engine but the entire company and, well, the other giants of the internet, from Facebook to Microsoft.

Google extends its Knowledge Graph 

Jaron Lanier - who pioneered virtual reality - stressed that we need to divide "artificial intelligence" into two different things: -the engineering and the science on the one hand -the storytelling about it, the narrative that we have about it, the fantasy life of it - perhaps the religion of it. It doesn't mean one is good and one is bad, but they're just different sorts of beasts.

Microsoft's research arm and Bing search engine business unit released on Wednesday a chat bot named Tay, which is powered by artificial intelligence technologies.

In this paper, we survey a number of different knowledge management strategies and a range of driving forces for knowledge management activities. We synthesise these using an extended version of an existing "KM spectrum"; apply a knowledge engineering approach to provide further guidance for the KM spectrum; and then describe a simple classification approach that links the driving forces to KM strategies, using a number of published heuristics. Finally, a case study is presented in which we apply our approach and discuss its usefulness.

Engineering serendipity - a process model for the unexpected

"Despite the sobering economic shocks of recent years, the Fun at Work movement seems irrepressible. Major companies boast of employing Chief Fun Officers or Happiness Engineers; corporations call upon a burgeoning industry of happiness consultants, who'll construct a Gross Happiness Index for your workplace, then advise you on ways to boost it."

"David Damberger discusses "Learning From Failure" at TEDxYYC 2011. David is the founder of Engineers Without Borders Calgary (EWB). After building the organization in Calgary and working with them in India, David spent four years building EWB's overseas programs as the Director of Southern African Programs. In this role, David consulted for dozens of African based companies, non-profits and governments in the fields of agriculture; food processing; water and sanitation; and mobile applications for development."

Recommended by Luc Glasbeek at the 2014 Autumn workshop

IBM - Watson Analytics and Prediction Engine

Many companies are seeing that the future of deep learning is here, and that it doesn't require a lot of money or resources to take advantage of this new industrial science. IBM's Watson Analytics offers a freemium service that allows you to upload up to 500MB, and enables you to explore your own real-life applications for deep learning. Inputting Google Adwords or other sales metrics into this tool can help even startup companies find relational and predictive information in their data.

Social search - is Google missing a trick?

Steve, have you tried Greplin and if so what's your experience? Does it negate the need for other search tools (I don't want a proliferation of search tools)? Does the indexing slow up your machine?

Gary, it does a better search of your social networks than Google, probably because you're giving it permission to index them. You still need a general search engine (such as Google) for the broader internet content. Indexing has no impact on your machine. I haven't used it long enough to determine whether or not it's features are useful enough to make it my first choice search engine for social media/social network content.

"The future of digital culture-yours, mine, and ours-depends on how well we learn to use the media that have infiltrated, amplified, distracted, enriched, and complicated our lives. How you employ a search engine, stream video from your phonecam, or update your Facebook status matters to you and everyone, because the ways people use new media in the first years of an emerging communication regime can influence the way those media end up being used and misused for decades to come. Instead of confining my exploration to whether or not Google is making us stupid, Facebook is commoditizing our privacy, or Twitter is chopping our attention into microslices (all good questions), I've been asking myself and others how to use social media intelligently, humanely, and above all mindfully. This book is about what I've learned."

It's not humans who are the recipients and decision makers of data and analysis, it's machines. Machines are making all or most of the decisions in areas like programmatic advertising, search engine optimization, credit approval, insurance underwriting, Internet of Things applications, and many more.

Microsoft Professional Program in AI, the latest learning track open to the public. The program provides job-ready skills and real-world experience to engineers and others who are looking to improve their skills in AI and data science through a series of online courses that feature hands-on labs and expert instructors.

Google believes that artificial intelligence (A.I.) virtual assistants (VA) and the conversational user interface (CUI) will largely supplant search engines and mobile apps for many users. We're moving into an "A.I.-first world," according to Google CEO Sundar Pichai.

Interesting read, but misses the 2 key factors: Lack of 'embedding knowledge sharing in the day to day business process instead of separate from it and the 'KM' title itself . If you have to explain it to a manager or engineer etc, you have a problem.