29 Jan Will Computers Ever Understand Me?
By: Joe Roushar – January 2020 I think I understand Ideas of devices becoming sentient need not be frightening. Thinking and being seem to be tightly bound: Je pense, donc je suis (Descartes 1628). Some have riffed on René’s theme to suggest the idea that sentience is defined by symbolic thought and expression (language), but […]
12 Jul Anatomy of Insight: Prediction and Qualitative BI
Joe Roushar – July 2018 Not just any body Body is a versatile word as it has broad application. In the context of astronomy, we describe celestial bodies. In topographical mapping, there are bodies of water. But in my interactions, I most often encounter “body” in the context of human physiology. The word, “body” implies […]
21 May What it Means to Be, and Why AI Needs to Know
Joe Roushar – May 2018 I relate, therefor I am Interaction between humans is intricate, intimate and beautiful. Good conversations are like dances and can leave one feeling fulfilled and whole. I have long wanted to build a system that can verbally dance with you. Even longer, one to rapidly translate what you say with […]
28 Jan Summarization and Translation Domains
Translation as A Sample Domain For our sample domain, we need something that requires expertise, is not trivial, and about which the author knows something. This limits us significantly, so we are taking the easy way out and going with the domain of Machine Translation (MT) of human languages. We considered the intricacies of communication […]
29 Dec Unhuman Expertise
Artificial Intelligence has suffered from a persistent scale problem: up to now, many techniques have been shown to work well and reliably in narrowly defined domains, but outside the domains of their expertise, they fall apart very quickly. No techniques of which I am aware, have exhibited common sense in the way we expect humans […]
23 Dec Visual Knowledge Dimensions
Visualizing knowledge in graphs and charts empowers decision makers by giving them actionable knowledge in understandable format. To make this most effective, the labels on the graph must provide clearly defined context cues that make it easy to interpret. Converging data strategies using Big Data (Hadoop, NoSQL, Cassandra, MapReduce…) can change the way we access content […]
08 Jul Playing the Slots
Frames and More You could just throw everything into the blender and see if a nice smoothie comes out. But for some cuisine and some complex processing tasks, the blender model is unsatisfactory. With neural networks and semantic networks and concept graphs, it may be best to separate things by category, choose different blender speeds, […]
01 Jul Chaos About Us
Chaos About Us Chaos is all about us. I know that for certain each time I look into my kids’ rooms. When I recall my own youth, however, it occurs to me that I had a reason for the way I organized my life. It seemed meaningful to me, and although I recall how difficult it was […]
19 May Deixis and Context
Deixis, is a common type of ambiguity that is mediated at the level of context. When deixis occurs in written language, you can normally resolve questions about the identity of the person(s) referenced in the ‘he’, ‘she’ or ‘they’ pronoun. In speaking, you sometimes have to ask the person who said it. 3-DG places context in […]