Ap­ple boosts health while Mi­crosoft revs ma­chine smarts

The Myanmar Times - - International Business -

MI­CROSOFT has bought a start-up to boost its ar­ti­fi­cial in­tel­li­gence ca­pa­bil­i­ties while ri­val Ap­ple has boosted its health fo­cus with an ac­qui­si­tion of its own.

Mi­crosoft did not dis­close fi­nan­cial terms of its deal to buy Ge­nee, which spe­cialises in us­ing ma­chine smarts to han­dle the time-suck­ing task of sched­ul­ing meet­ings.

“Ge­nee uses nat­u­ral lan­guage pro­cess­ing and op­ti­mised de­ci­sion­mak­ing al­go­rithms so that in­ter­act­ing with a vir­tual as­sis­tant is just like in­ter­act­ing with a hu­man one,” Out­look and Of­fice 365 cor­po­rate vice pres­i­dent Ra­jesh Jha said in a blog post.

For ex­am­ple, Ge­nee can be copied into an email ex­change to act as a vir­tual as­sis­tant of sorts to pin down a time for a busi­ness or so­cial meet­ing.

Mr Jha touted Ge­nee as hav­ing de­signed “an in­tel­li­gent vir­tual as­sis­tant spe­cial­ized in the ap­point­ment de­ci­sion”.

The tech­nol­ogy was ex­pected to be put to work in Of­fice 365 soft­ware that Mi­crosoft of­fers as a ser­vice in the in­ter­net cloud.

The team that started Sil­i­con Val­ley-based Ge­nee in 2014 will join the Mi­crosoft and the ex­ist­ing ser­vice will be dis­con­tin­ued next month, ac­cord­ing to the com­pa­nies.

Ap­ple con­firmed press re­ports that it has bought start-up Gli­impse, which uses ma­chine learn­ing as part of its for­mula for let­ting peo­ple se­cure, man­age and share per­sonal med­i­cal in­for­ma­tion.

“Ap­ple buys smaller tech­nol­ogy com­pa­nies from time to time, and we gen­er­ally do not dis­cuss our pur­pose or plans,” Ap­ple said in a state­ment on Au­gust 22.

Gli­impse of­fers a unique plat­form al­low­ing users to com­pile med­i­cal and health data from dif­fer­ent sources, and share as needed with third par­ties, in­clud­ing doc­tors and hos­pi­tals.

“We’ve built a mag­i­cal ma­chine,” Gli­impse said on its web­site.

“It takes in­com­pre­hen­si­ble elec­tronic med­i­cal records and turns them into understandable, stan­dard­ised, coded el­e­ments and ter­mi­nol­ogy that both hu­mans and ma­chines can eas­ily un­der­stand and use.”

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