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SAN FRANCISCO – blank out the Terminator . The next robot on the horizon may be have on a lab coat .
unreal intelligence(AI ) is already helping scientists form testable hypothesis that enable expert to run real experiments , and the technology may soon be poised to help business sector make decision , one scientist say .
However , that does n’t mean themachines will be take overfrom man completely . Instead , human beings and machines have complementary skillsets , so AI could help research worker with the work they already do , Laura Haas , a data processor scientist and music director of the IBM Research Accelerated Discovery Lab in San Jose , California , said here Wednesday ( Dec. 7 ) at the Future Technologies Conference . [ A-one - levelheaded Machines : 7 Robotic Futures ]
" The machine will come to be a secure partner to humans , " consanguineous to the android Data on the TV series " Star Trek : The Next Generation , " Haas said .
Big Data
Though many the great unwashed venerate a future where our automaton overlords surpass human race in almost every capacity , in reality , machines have long outpace simple mortals at many tasks , such as doing incredibly fast numerical figuring . But this authorization is nowhere clearer than in the realm ofBig Data .
" globose scientific output signal doubles every nine years ; 90 pct of the data in the world today has been make in the last two years alone ; 2.5 exabytes of data are created every day , " Haas said . ( An exabyte is tantamount to 1 billion gigabytes . )
In the rivalry between man and machine , calculator are the undisputed winners at processing and imbibe all this selective information , Haas say .
Angel of death
AfterIBM ’s Watson trounced Ken Jennings in " Jeopardy ! " , Dr. Olivier Lichtarge , a molecular biologist at Baylor College of Medicine in Texas , contact Haas ' grouping to see if similar engineering could avail him in his research .
Lichtarge was look at a specific gene , called p53 , which is dubbed the cell ’s " saint of last , " Haas say . The cistron helps direct the cell through its life story cycles/second and kills age or damaged cells . In about 50 percent of cancer cases , there is some job with how p53 is function , Haas sum . What ’s more , research had revealed that certain molecules , called kinase , played a central role in the operation of p53 .
But , there were more than 70,000 scientific papers written about this factor , and 5,000 novel bailiwick are pasture up each yr . A research lab helper could never read all the lit to identify good kinase candidates , so Lichtarge ask the radical to progress a program that could interpret through the existing literature and then identify molecule that might play as kinases to p53 .
The AI assistant scanned through hordes of medical abstracts from written report published before 2004 , and identified nine different kinase atom that were potentially affecting the activity of p53 .
In the ensue X , other research worker had identified seven of those mote as kinases . Two , however , were never mentioned in all of the lit .
" They endure off and tried to do some experimentation in the lab , " Haas order . " About a class later , we had proof both in vivo and in vitro experimentation that these two were kinases . "
Of course , Watson is n’t yet up to the level of a splendid and trained inquiry scientist . In this instance , AI was used to harness a narrow , straightforward trouble that was very well posed , and it also benefited from a riches of scientific data , Haas said .
But the results were exciting even so , she said .
Original article onLive scientific discipline .
