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Topic: IBM 1405

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	From Babel to Knowledge: Data Mining Large Digital Collections
		Cocktail recipes normally had each drink's name at the top, followed by the list of ingredients; Luhn's system created a separate set of cards that listed each ingredient at the top, followed by each cocktail containing that ingredient – what would later be known as an inverted index, the basis for many information retrieval techniques.
		At IBM in the 1950s, Luhn set his sights slightly higher than simplified bartending and discovered that documents on the same topic had what he called "dictionaries of notions," or a core of identifying keywords that are much more likely to show up in these documents than in the general universe of documents.
		In the last half-century, computer scientists focusing on informational retrieval have greatly improved upon Luhn's (and his colleagues') algorithms, but many of the fundamental processes remain the same.
	www.dlib.org /dlib/march06/cohen/03cohen.html (3112 words)

	Richard Weir & Carl Nelson: Barium-Titanate Ultra-Capacitor
		Menlo Park, Calif. VC firm Kleiner Perkins Caufield and Byers in July led a $3 million preferred stock investment in EEStor Inc., a Cedar Park, Texas startup that is developing breakthrough battery technology.
		Weir, an electrical engineer who has worked at IBM Corp. and autoparts giant TRW Inc., and Nelson, educated in chemistry and materials sciences, have extensive experience in the fabrication of integrated circuits and in the development of the kind of ceramic powder at the core of EEStor's technology.
		The details of their research are sketchy, but it involves a method of processing, mass-producing and using barium titanate powder as an insulator — the dielectric — helping EEStor's energy storage system achieve a radical increase in voltage and energy storage without compromising reliability.
	www.rexresearch.com /weir/weir.htm (8002 words)

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