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Detailed text transcripts for TV channel - KGO - 20190322:00:33:00 - Vimarsana News

Detailed text transcripts for TV channel - KGO - 20190322:00:33:00

Airplane. they both ought to be feeding data to the cockpit. you shouldn't have to pay extra to get them both to talk to the pilots. >> reporter: boeing's software update, which it is rushing to complete with the fleet grounded, will now provide that sensor disagree light as standard, and will, in the future, rely on both sensors before engaging the anti-stall system. >> it was incomplete design that the original design relied on the pilots to take appropriate action. what we've learned from these two accidents, that may not occur. >> reporter: in the u.s., southwest and american airlines both...

Detailed text transcripts for TV channel - MSNBC - 20190117:14:16:00 - Vimarsana News

Detailed text transcripts for TV channel - MSNBC - 20190117:14:16:00

Role as an adviser to a contender for president of the united states, you still care about women for cohen. >> that's even the nonsense portion of it. we're talking about poll rigging. michael cohen has responded and put out a tweet saying as for the "wall street journal" article on poll rigging, what i did was at the direction of and for the sole benefit of donald trump. i truly regret my blind loyalty to a man who doesn't deserve it. what do you make of this? >> pole rigging. that's astonishing. it's in keeping with the narrative being built publicly about russians rigging the election. that...

Detailed text transcripts for TV channel - DW - 20180305:19:52:00 - Vimarsana News

Detailed text transcripts for TV channel - DW - 20180305:19:52:00

Translation software. professional. types even in finnish. he is a babysitter she. is a winner she is a secretary. these. have huge implications for. women receive more suggestions for lower paying jobs than men a study by carnegie mellon university. says it's not only algorithms that are to blame because they are still programmed and fed with information by humans and algorithms because we train it. either whether it's deep learning with a neural network so to speak or shallow machines were feeding data and were asking it to form an opinion. and of course when that opinion is based on data