Applications Artificial intelligence
1 applications
1.1 competitions , prizes
1.2 healthcare
1.3 automotive
1.4 finance , economics
1.5 video games
applications
an automated online assistant providing customer service on web page – 1 of many primitive applications of artificial intelligence.
ai relevant intellectual task. modern artificial intelligence techniques pervasive , numerous list here. frequently, when technique reaches mainstream use, no longer considered artificial intelligence; phenomenon described ai effect.
high-profile examples of ai include autonomous vehicles (such drones , self-driving cars), medical diagnosis, creating art (such poetry), proving mathematical theorems, playing games (such chess or go), search engines (such google search), online assistants (such siri), image recognition in photographs, spam filtering, prediction of judicial decisions , targeting online advertisements.
with social media sites overtaking tv source news young people , news organisations increasingly reliant on social media platforms generating distribution, major publishers use artificial intelligence (ai) technology post stories more , generate higher volumes of traffic.
competitions , prizes
there number of competitions , prizes promote research in artificial intelligence. main areas promoted are: general machine intelligence, conversational behavior, data-mining, robotic cars, robot soccer , games.
healthcare
a patient side surgical arm of da vinci surgical system. [1]
artificial intelligence breaking healthcare industry assisting doctors. according bloomberg technology, microsoft has developed ai doctors find right treatments cancer. there great amount of research , drugs developed relating cancer. in detail, there more 800 medicines , vaccines treat cancer. negatively affects doctors, because there many options choose from, making more difficult choose right drugs patients. microsoft working on project develop machine called hanover . goal memorize papers necessary cancer , predict combinations of drugs effective each patient. 1 project being worked on @ moment fighting myeloid leukemia, fatal cancer treatment has not improved in decades. study reported have found artificial intelligence trained doctors in identifying skin cancers. study using artificial intelligence try , monitor multiple high-risk patients, , done asking each patient numerous questions based on data acquired live doctor patient interactions.
according cnn, there recent study surgeons @ children s national medical center in washington demonstrated surgery autonomous robot. team supervised robot while performed soft-tissue surgery, stitching pig s bowel during open surgery, , doing better human surgeon, team claimed. ibm has created own artificial intelligence computer, ibm watson, has beaten human intelligence (at levels). watson not won @ game show jeopardy! against former champions, but, declared hero after diagnosing women suffering leukemia.
automotive
advancements in ai have contributed growth of automotive industry through creation , evolution of self-driving vehicles. of 2016, there on 30 companies utilizing ai creation of driverless cars. few companies involved ai include tesla, google, , apple.
many components contribute functioning of self-driving cars. these vehicles incorporate systems such braking, lane changing, collision prevention, navigation , mapping. together, these systems, high performance computers, integrated 1 complex vehicle.
recent developments in autonomous automobiles have made innovation of self-driving trucks possible, though still in testing phase. uk government has passed legislation begin testing of self-driving truck platoons in 2018. self-driving truck platoons fleet of self-driving trucks following lead of 1 non-self-driving truck, truck platoons aren t entirely autonomous yet. meanwhile, daimler, german automobile corporation, testing freightliner inspiration semi-autonomous truck used on highway.
one main factor influences ability driver-less automobiles function mapping. in general, vehicle pre-programmed map of area being driven. map include data on approximations of street light , curb heights in order vehicle aware of surroundings. however, google has been working on algorithm purpose of eliminating need pre-programmed maps , instead, creating device able adjust variety of new surroundings. self-driving cars not equipped steering wheels or brakes, there has been research focused on creating algorithm capable of maintaining safe environment passengers in vehicle through awareness of speed , driving conditions.
another factor influencing ability driver-less automobile safety of passenger. make driver-less automobile engineers must program handle high risk situations. these situations include head on collision pedestrians. cars main goal should make decision avoid hitting pedestrians , saving passengers in car. there possibility car need make decision put in danger. in other words, car need decide save pedestrians or passengers. programing of car in these situations crucial successful driver-less automobile.
finance , economics
financial institutions have long used artificial neural network systems detect charges or claims outside of norm, flagging these human investigation. use of ai in banking can traced 1987 when security pacific national bank in usa set-up fraud prevention task force counter unauthorised use of debit cards. programs kasisto , moneystream using ai in financial services.
banks use artificial intelligence systems today organize operations, maintain book-keeping, invest in stocks, , manage properties. ai can react changes overnight or when business not taking place. in august 2001, robots beat humans in simulated financial trading competition. ai has reduced fraud , financial crimes monitoring behavioral patterns of users abnormal changes or anomalies.
the deployment of ai machines in market in applications such online trading , decision making has changed major economic theories. example, ai based buying , selling platforms have changed law of supply , demand in possible estimate individualized demand , supply curves , individualized pricing. furthermore, ai machines reduce information asymmetry in market , making markets more efficient while reducing volume of trades. furthermore, ai in markets limits consequences of behavior in markets again making markets more efficient. other theories ai has had impact include in rational choice, rational expectations, game theory, lewis turning point, portfolio optimization , counterfactual thinking.
video games
artificial intelligence used generate intelligent behaviors in non-player characters (npcs), simulating human-like intelligence.
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