Tag Archives: fuzzy logic
10 Jun Knowledge is the New Foundation for Success
Joe Roushar – June 2020 Retooling for The Beginning of a New Age This year, 2020 will be the turning point in AI adoption because successful implementations will be available to small and large organizations without breaking the bank. Success will be measured in specific business value achieved. Affordability will dramatically improve because of AI […]
08 Nov AI-BI-CI: Steps to Better Decisions
By: Joe Roushar – November 2018 AI: Artificial Intelligence Can you understand the things you observe and use them to make better decisions? Random colored dots that seem chaotic up close, when arranged by an artist in a pointillist painting, can become richly meaningful and appealing. The dots may have great variety in color and […]
04 Jul Cognitive Multi-Processing
Joe Roushar – July 2017 Divide and Conquer Swarm computing applications, with large numbers of autonomous agents are beginning to appear and deliver stunning results. The combination of autonomy, simple tasks and parallelism has great power. Today I’ll address parallel computing and models for breaking down computational problems. I will not address the question of autonomy today, […]
09 Jan 2017 – The Year of AI
Joe Roushar – January 2017 Intelligent but Artificial Recently, January 5th, 2017, on my ride into work I was listening to BBC World Update with Dan Damon, as I often do, and heard him interviewing someone about the new artificial intelligence (AI) app for the British National Health Service from Babylon Health (similar story on […]
07 Dec Curating Digital Meaning
Joe Roushar – December 2016 That should be in a museum I think of museums when I hear about curating. Meaning is, in a strange way, an artifact, simultaneously ancient and modern. Meaning has existed as long as perception has existed in the most rudimentary forms of life. For the purposes of my blog, I […]
05 Sep Fuzzy Idea Wars in Always Never Land
Joe Roushar – September 2015 Trusted Rx How should a digital device answer a “Should I…” question? “Should I put on my left shoe first, or my right?” “Should I take the alternate route to avoid traffic? “Should I get a more fuel-efficient automobile?” “That stock price is lower, so should I buy now, or is […]
11 May Thinking in Parallel
A Parallel Expert I once rode the Trans-Siberian Railway from Moscow to Ulan-Batar, Mongolia (not the picture at right – the engines were diesel). Several times along the journey we passed slower trains, and we were passed by faster ones. When people and freight are confined to a single lane, the speed of the slowest defines the speed of […]
27 Feb Six Reasons Businesses are Implementing Semantics
The wave is coming. I spent some quality time last summer in a large consumer products manufacturer in Cincinnati helping architect semantic capabilities to automate tasks in chemical compliance for selling a large number of products in dozens of countries, each with hundreds of rules that apply to thousands of chemicals constituents. You can imagine the combinatorial explosion. […]
23 Feb Inference in Knowledge Apps
In Section 5 we discussed different kinds of knowledge, including existential or hierarchical knowledge and causal knowledge. In Section 7 we discussed modeling approaches and search techniques that could be applied to any kind of knowledge. We saw that causal knowledge can be modeled as chains of causes and effects, and that existential knowledge can be […]
08 Feb Just In Time Knowledge
One of the beautiful things about the human brain is it’s adaptability: people can “change” their minds at the last minute based on the changing situation (context). This is not trivial, but I believe that it is one of the characteristics of human cognition that is relatively straightforward to mimic in computer programs and apps. In […]