Microsoft Renews Relevance With Machine Learning Technology

The following is an excerpt of an article in:


The New York Times
Tuesday, October 30, 2012

Microsoft Renews Relevance With Machine Learning Technology

By QUENTIN HARDY

SEATTLE — Eric Horvitz joined Microsoft Research 20 years ago with a medical degree, a Ph.D. in computer science and no plans to stay. “I thought I’d be here six months,” he said.

He remained at M.S.R., as Microsoft’s advanced research arm is known, for the fast computers and the chance to work with a growing team of big brains interested in cutting-edge research. His goal was to build predictive software that could get continually smarter.

In a few months, Mr. Horvitz, 54, may get his long-awaited payoff: the advanced computing technologies he has spent decades working on are being incorporated into numerous Microsoft products.

Next year’s version of the Excel spreadsheet program, part of the Office suite of software, will be able to comb very large amounts of data. For example, it could scan 12 million Twitter posts and create charts to show which Oscar nominee was getting the most buzz.

A new version of Outlook, the e-mail program, is being tested that employs Mr. Horvitz’s machine-learning specialty to review users’ e-mail habits. It could be able to suggest whether a user wants to read each message that comes in.

Elsewhere, Microsoft’s machine-learning software will crawl internal corporate computer systems much the way the company’s Bing search engine crawls the Internet looking for Web sites and the links among them. The idea is to predict which software applications are most likely to fail when seemingly unrelated programs are tweaked.

If its new products work as advertised, Microsoft will find itself in a position it has not occupied for the last few years: relevant to where technology is going.

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