Analysis-ArtificialIntelligence,whereistheoutlet--畢業(yè)論文翻譯

1、An alysis: Artificial In tellige nee, where is the outlet?(News free download) machine learning, artificial in tellige nee into public viewIn recent years, with the development of large amounts of data and algorithms of support, the mach ine can be reality scenes crawl and capture, and real-world sc

2、enarios by the algorithm of the data so that it can be machine readable, to the perception of reality . After obta ining the data of the reality of sce ne data, with a huge number of sample data to compare training to achieve recog niti onofthe sce ne,calledmach inelear ning.Because of these two fac

3、tors related to computi ng power, algorithmsandlarge datasupportlimitati ons in theexperime ntal stage. AlphaGo win at chess and makes the mach ine lear ning in crease the heat, and eve ntually into public view with LiShiShi.In the Chin ese Academy of Engin eeri ng (She nzhe n) Chin ese Un iversity

4、of Hong Kong preside nt Xu Yan gshe ng opinion,percepti on,cog niti onand acti on,these threeieleme nts con stitute three artificial in tellige nee.Examplesof the computer visi on point of view, to make a computer image recog niti on, feature extracti on is first,theimporta nee of the pixels in the

5、differe nee extracti on, this is perceived.Then importa nt eleme nts of labeli ng, markingto become a computer can recog nize by the sig n, so that the computer can un dersta nd the content of the picture, this is the percepti on.Fin ally, the computer-ge neratedimage of a paragraph to describe, thi

6、s is the last step in the operati on.Beijing University of Aeronauticsand AstronauticsWang Tian Miao believes that 50 years of history betwee n the time after the development of artificialintelligenee,researchers will focus on most aspects of the operation, because there is no ability to complete th

7、e first two steps.Gen erallyspeak ing, huma n-computerin teracti onisthethree factors of the action, is nowgen erallycanbeachieved,the most com monis thefactoryofthemecha ni calarm, by the programmerof the machinein corporatedinto fixed program code to achievethemecha ni calarm repetitivemoveme ntsW

8、hywouldrepeat the acti on, rather tha n arbitrary step?Thereas onis that the machine is set artificially limit the scope and gen erate acti on, not in resp onse to the mach ine accord ing to their own un dersta nding after made.That is, before mach ine lear ning, artificial in tellige nee and roboti

9、cs research stay in the main acti on, the lack of perceptionand cognition research, and thecurrent robot learningonly a perception and artificialin tellige neein the early stages of developme nt ofcog nitive levels and at this stage of the research it is still experime ntal.Artificialintelligenee is

10、 easy to form an oligopolysituati on?Al fireup after this year, regardless of thetech no logy gia nt or start-up compa ni es, want to seize the opport un ity in the bonus period.Regardless of domesticand intern atio naltech no logygia nt through its ownresearch and developmentor through acquisitions

11、, instepp ing up the layout of the field of artificial in tellige nee, to stay ahead in this area.So, from the curre nt market,which the compa ny has a cha in of artificial in tellige nee on it?The first is the computi ng and in formati on storagechip gia nts like In tel, NVIDIA and other compa ni e

12、s, they are the most upstream in this area, and the ability to provide computi ngsoluti onsfor midstreamanddow nstream in dustry cha in, they determ ine the depth of the development of artificialintelligenee.Followed bythe Big Data in dustry cha in of raw data acquirer, i nclud ing operators, BAT, M

13、icrosoft, Google and otherIn ternetportal of holdingcompanies,which have the necessarydata resources, mach ine lear ning, artificial in tellige nee determ ines the breadth of developme nt.Inadditi on,artificialin tellige neetech no logyresearch and developme nt group, where autopilot, depth of learn

14、ing,speech recognitionand image recognitionand other fields have achieved leading companiesandtheir respective teams. Work directly led by the tech giants, such as Google autopilot, IBM Waston, Baidu autopilot and voice recognition;there are outstandingrepresentativesof laboratories and start-upcomp

15、anies,such as DeepM ind roots deep lear ning; in additi on, there is in here ntlypossessstre ngthcharacteristics Teslaautopilot, iFL YTEK voice recog niti on.However, the developmentof artificial intelligeneerequires con sta ntin vestme ntandcon ti nu ousdataaccumulati on.In the field of artificiali

16、n tellige neeresearch has such a stateme nt, AI requires a lot of data to support, and machinelearningfor feedback data willin crease the qua ntity and quality of data acquisiti on,ahuge high-quality data will further acceleratetheefficie ncy and effective ness of mach ine lear ning , formi ng a vir

17、tuous circle.Con seque nee of this developme nt is tocontinue, this area started lead ing compa nies will be more lead ing compa nies at a disadva ntage and will gradually be eliminated, and ultimately the formation of a handful of oligopoly.At the same time, some compa nies are in the heartof the i

18、n dustrial cha in of AI, by virtue of its tech ni cal andfinan cialresources, throughacquisiti onsand strategicstake, etc., to achieve mon opoly con trol of the in dustrial cha in.For example, Google acquired startup DeepM indAI in 2014, two years before we see its R & D AlphaGo defeat Li Shishi

19、 sce ne.B-e nd market, the next outlet artificial in tellige neewill be medical and finan cial?On the summit of this artificialintelligeneeandrobotics, academia andin dustrymovers who haveexpressed their views on the Al a vent.Computer Scie nee Departme nt Un iversity of OxfordMichael Wooldridge bel

20、ieves that the next Al applicati on should be in the medical field. At present,we canthrough smart wristba nds and other in tellige nt hardware detects the user s heart rate, blood pressure, blood sugar, while coun ti ng steps. If we deal with these data to Al, we can achieve some health applicatio

21、ns.This applicatio n isto let the doctor with you at any time, 24 hours a day mon itori ng.It knows how much you sleep, how much toeat, you know the level of blood sugar, you know the situati on of the moveme nt and so on, while I suggest you whe n to exercise, what time can not eat too much or drin

22、k too much wine.Michael Wooldridge in troduced in the UK n ati onal health system, i nclud ing the cases of all British case data, medicati on records.If Al can be applied to the medicalfield, it will bring new discovery, artificial in tellige nee but also the next outlet should be that our entire m

23、edical profession in the medical.According to foreign mediareports, i n early June this year, DeepM ind start pla nningtheir algorithm is applied to the healthcare in dustry, and plans to use machinelearningprocess British NationalHealth Service within five years.Hong Kong University of Scienee Prof

24、essor Yang Qiang believes that artificialin tellige neecan not dowithout data, we now have a judgme nt if the n ext outlet, it is necessary to see which industries have large data resources complete closed system.In the finan cial sector,a lot of people all throughout all bus in essprocessesdocume n

25、ted here with a digital approach.In the futurepredicti on in formati on and process ing aspects, if a closed system in which, un der the premise of large data, there are funds to promote the in flue nee of the finan cial in dustry is the most likely to succeed in a field.C term inal market, with voi

26、ce as the starti ng pointof the con sumer revoluti on or will soonFrom the developme nt tren d, if stuck in the artificial in tellige nee laboratory, the In stitute of the stage, do not en ter the commercial phase of the C-termi nal face can not be in con tact with the gen eral public, but high abov

27、e the black and Tech no logy.Eve n as AlphaGo win as famousplayers, creat ing a sen satio n, just the talk of gossip.But never let Al promote capital only laboratory product, Al want to commercialization, the first thing to con sider is the tech ni cal difficulty.From the curre nt pointof view sever

28、al areas of artificialintelligenee,automaticdriv ing many security risks can not be resolved in the n ear future, although the depth of learningmade significantachievements,but still in the exploratory stage, roboticautomati oncan not achieveautomaticprogram ming.But the field of voice control,a chi

29、ldren s chat robotmarket drivingoutside, so intelligent voice in the masscon sumer market applicati ons fast.Whether Microsoft, Google, IBM and Apple, or domestic Baidu, Sogou and IFL YTEK abroad in the field of speech recog niti on and sema ntic an alysis has made some progress, and eve n subvert the in dustrial structure the way a number of areas. Moreover, the intelligent voice market pen etrati on must b