Internet

But as Scott's fame for giving away money has grown, so too has the deluge of appeals for gifts from strangers and old friends alike. That clamour may have driven Scott's already discreet operation further underground, with recent philanthropic announcements akin to sudden lightning bolts for unsuspecting recipients.

I do know of a number of cases in which he [Bezos] has acquired companies in order to take out competitors, potential future competitors. Rather than because he actually wants that business to continue.

My team develops software for our next-generation Machine Learning accelerators: HAL, firmware, and SoC models.

When Mr. Page and Mr. Brin founded Google in 1998, Mr. Hassan bought 160,000 shares for $800. When Google went public in 2004, the shares were worth more than $200 million. The shares, now in Google’s parent company, Alphabet, would be valued at more than $13 billion today [2021].

after working at Washington University's Medical Libraries Group (having been recruited out of SUNY Buffalo for the summer).

Two of the most compelling areas that Google and its founders are quietly working on are the promising fields of molecular biology and genetics. Millions of genes in combination with massive amounts of biological and scientific data are an excellent match for the Google search engine, the tremendous database the company has in place, and its immense computing power. Already, Google has downloaded a map of the human genome and is working closely with biologist Dr. Craig Venter and other leaders in genetics on scientific projects that may lead to important breakthroughs in science, medicine, and health. In other words, we may be heading toward a time when people can google their own genes.

Any contributor could create and own new Knol articles, and there could be multiple articles on the same topic with each written by a different author.

As they saw it, generation one was AltaVista, generation two was Google, and generation three was Teoma, or what Ask Jeeves came to refer to as Expert Rank. Teoma's technology involved mathematical formulas and calculations that went beyond Google's PageRank system, which was based on popularity. In fact, the concept had been cited in the original Stanford University paper written by Sergey Brin and Larry Page as one of the methods that could be used to rank indexed Web sites in response to search requests. "They called their method global popularity and they called this method local popularity, meaning you look more granularly at the Web and see who the authoritative sources are," Lanzone said. He said Brin an Page had concluded that local popularity would be exceedingly difficult to execute well, because either it would require too much processing power to do it in real time or it would take too long.

ExpertRank is an evolution of IBM's CLEVER project, a search engine that never made it to public.

The difference between PageRank and ExpertRank is that for ExpertRank the quality of the page is important and that quality is not absolute, but it's relative to a subject.

At Google, the preference is for working in small teams of three, with individual employees expected to allot 20 percent of their time to exploring whatever ideas interest them most. The notion of "20 percent time" is borrowed from the academic world, where professors are given one day a week to pursue private interests.