User talk:Theroadislong

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A page you started (Tristan Stephenson) has been reviewed![edit]

Thanks for creating Tristan Stephenson, Theroadislong!

Wikipedia editor Matty.007 just reviewed your page, and wrote this note for you:

Seems this hasn't been reviewed yet... Anyway, good new page

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I don't know if you celebrate Halloween but... Happy Halloween![edit]

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Hello Theroadislong, Miss Bono has given you an lovely bat, to wish you a Happy Halloween! You see, these things promote WikiLove and hopefully this has made your day better. Spread the WikiLove by giving someone else a lovely bat! Enjoy!
Spread the goodness of a lovely bat by adding {{subst:User:Miss Bono/Halloween}} to their talk page with a friendly message.

This article is not blatant advertising. Please reconsider.Dr. Steven Lee Berman (talk) 10:58, 3 November 2013 (UTC)[edit]

Dear Community Member:

The article submitted is not blatant advertising. On the contrary, this article references a notable non-profit entity operating in Canada and the US which makes no money and simply illustrates an educational approach to inspiring next generation innovators. This educational non-profit is recognized by NASA for its innovative methodology and curriculum approach which is supporting unique STEM+ARTS +MOVEMENT education. The article defines the foundation of the approach, highlights two notable individuals in the process and provides others with the ability to access information about the organization.

The bottom line is that if this article was blatant advertising then it would not address a non-profit organization.

Please reconsider and make any recommendations which you deem appropriate to enable publication of the article.

Thank you for your reconsideration.


I never know how to "send" from this iPad . Ruth Stiles Gannett (talk) 19:11, 19 January 2014 (UTC)[edit]

Now what?

Cognitive computing[edit]


This definition of cognitive computing was developed in mid-2014 by a cross-disciplinary group of experts from BA-Insight, Babson College, Basis Technology, Cognitive Scale, CustomerMatrix, Decision Resources, Ektron, Google, HP Autonomy, IBM, Microsoft/Bing, Next Era Research, Oracle, Pivotal, SAS. Saxena Foundation, Synthexis, and Textwise/ This project was led by Sue Feldman at Synthexis and Hadley Reynolds of NextEra Research. It was sponsored by CustomerMatrix, HP Autonomy, and IBM. The goal of the project was to define how cognitive computing differs from traditional computing and to provide a non-proprietary definition of cognitive computing that could be used as a benchmark by the IT industry, researchers, the media, technology users and buyers.


Cognitive computing makes a new class of problems computable. It addresses complex situations that are characterized by ambiguity and uncertainty; in other words it handles human kinds of problems. In these dynamic, information-rich, and shifting situations, data tends to change frequently, and it is often conflicting. The goals of users evolve as they learn more and redefine their objectives. To respond to the fluid nature of users’ understanding of their problems, the cognitive computing system offers a synthesis not just of information sources but of influences, contexts, and insights. To do this, systems often need to weigh conflicting evidence and suggest an answer that is “best” rather than “right”.

Cognitive computing systems make context computable. They identify and extract context features such as hour, location, task, history or profile to present an information set that is appropriate for an individual or for a dependent application engaged in a specific process at a specific time and place. They provide machine-aided serendipity by wading through massive collections of diverse information to find patterns and then apply those patterns to respond to the needs of the moment.

Cognitive computing systems redefine the nature of the relationship between people and their increasingly pervasive digital environment. They may play the role of assistant or coach for the user, and they may act virtually autonomously in many problem-solving situations. The boundaries of the processes and domains these systems will affect are still elastic and emergent. Their output may be prescriptive, suggestive, instructive, or simply entertaining.

In order to achieve this new level of computing, cognitive systems must be:

1. Adaptive. They must learn as information changes, and as goals and requirements evolve. They must resolve ambiguity and tolerate unpredictability. They must be engineered to feed on dynamic data in real time, or near real time.

2. Interactive. They must interact easily with users so that those users can define their needs comfortably. They may also interact with other processors, devices, and Cloud services, as well as with people.

3. Iterative and stateful. They must aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete. They must “remember” previous interactions in a process and return information that is suitable for the specific application at that point in time.

4. Contextual. They must understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).

Cognitive systems differ from current computing applications in that they move beyond tabulating and calculating based on preconfigured rules and programs. Although they are capable of basic computing, they can also infer and even reason based on broad objectives.

Beyond these principles, cognitive computing systems can be extended to include additional tools and technologies. They may integrate or leverage existing information systems and add domain or task-specific interfaces and tools as required.

Many of today’s applications (e.g., search, ecommerce, eDiscovery) exhibit some of these features, but it is rare to find all of them fully integrated and interactive.

Cognitive systems will coexist with legacy systems into the indefinite future. Many cognitive systems will build upon today’s IT resources. But the ambition and reach of cognitive computing is fundamentally different. Leaving the model of computer-as-appliance behind, it seeks to bring computing into a closer, fundamental partnership in human endeavors.


The Answer Machine. By Susan Feldman. Morgan & Claypool, 2012.

Smart Machines: IBM's Watson and the Era of Cognitive Computing. Columbia Business School Publishing by John E. Kelly III, Steve Hamm

IBM's TrueNorth processor mimics the human brain by Daniel Terdiman.

Surfing Toward the Future. By Peter J. Denning. 
Communications of the ACM, Vol. 57 No. 3, Pages 26-29 10.1145/2566967

Cognitive Computing: Beyond the Hype By Susan Feldman and Hadley Reynolds.

Cognitive Computing: Why Now and Why it Matters to the Enterprise. By Guy Mounier. KMWorld, Sept. 2014

Another Face of Cognitive Computing. By Jennifer Zaino May 27, 2014

Ferrucci, D. et al. (2010) Building Watson: an overview of the DeepQA Project. Association for the Advancement of Artificial Intelligence, Fall 2010, 59–79.

IBM Watson. Jeopardy full episode day 1. (2011). com/watch?v=qpKoIfTukrAandfeature=related

IBM Watson. Jeopardy! - Watson game 2. kDA-7O1q4ooandfeature=related

IBM Watson. Jeopardy! IBM Watson day 3 part 2/2. (2011, February 16). Retrieved July 26, 2012 from

Will IBM’s Watson Usher in a New Era of Cognitive Computing? Scientific American. Nov 13, 2013 |By Larry Greenemeier

What is cognitive computing? IBM Research. --Susan E. Feldman (talk) 17:35, 9 September 2014 (UTC)Susan E. Feldman


I am trying to sort out my wikipedia page and I saw you removed all of my updates that I did, please could you add them back please as I am in the process of going through the page.


Charlotte — Preceding unsigned comment added by CharlotteDevaney (talkcontribs) 12:28, 10 September 2014 (UTC)

FYI[edit] Specifically that the COI editor wrote a draft at User:LexieHoskins/sandbox/Cambridge International Examinations, submitted it to AfC, and then when it was declined as existing pasted her copy on top. Reventtalk 19:25, 11 September 2014 (UTC)

York Theatre Company[edit]

Please explain to me what is being advertised or promoted? The information on this page is wrong and I am trying to update it. Every update in the right direction is immediately taken down. For instance The York Theatre Company Opened in 1969 NOT in 1993, we moved spaces in 1993 but DID NOT OPEN in 1993. there is also a long history that I am trying to add and CITE from our webpage, which is not soliciting any money or assistance from anyone. And if our history is considered to be promotional then all wikipedia pages of all businesses should be taken down as they are doing the same thing.

THANK YOU Brian Cummins Company Manager The York Theatre Company. — Preceding unsigned comment added by Brianjcummins (talkcontribs) 20:24, 16 September 2014 (UTC)

When you have a clear conflict of interest it is best to make suggestions on the article's talk page, all content will need to be backed up with references, preferably third party sources and not your own website. Statements like "intimate, imaginative style of producing both new and classic musicals has resulted in critical acclaim, multiple awards and recognition from artists and audiences alike." is most definitely promotional puffery! Theroadislong (talk) 20:28, 16 September 2014 (UTC)