Yadda ake amfani da Intelligence Artificial a wasanni

Sirrin wucin gadi a cikin wasanni ya riga ya zama gaskiya. Abin da ya kasance keɓantaccen yanki na dakunan gwaje-gwaje ko kamfanonin fasaha yanzu ya zama kayan aiki na asali ga ƴan wasa, kociyan, alkalan wasa, manajoji, har ma da magoya bayan kansu. Wannan juyin juya hali na shiru Yana canza yadda ake tunanin wasanni, yin aiki da jin daɗin rayuwa a duniya.

Daga tsarin da ke yin hasashen haɗarin rauni zuwa ƙididdigar dabarun lokaci na ainihi zuwa abubuwan da suka faru na filin wasa godiya ga haɓakar gaskiyar, AI yana nan don zama. A cikin wannan labarin mun bincika yadda ake amfani da basirar wucin gadi a fannonin wasanni daban-daban, waɗanne ci gaban da aka riga aka ƙarfafa, waɗanne ƙalubalen ɗabi’a ne yake kawowa, da kuma abin da za mu iya tsammani a cikin shekaru masu zuwa.

Tasirin AI akan ayyukan wasanni

Ɗaya daga cikin yankunan da AI ya yi tasiri mafi girma shine a cikin daidaikun mutane da kuma na gama kai na 'yan wasa. Ta amfani da algorithms koyan injin (koyon injin), ana nazarin bayanan halittu da tsarin ɗabi'a don samar da tsare-tsaren horo na musamman.

Na'urori masu ɗaukar nauyi da na'urori masu auna firikwensin suna iya Auna masu canji kamar bugun zuciya, saurin gudu, haɓakawa, matsayi, ko rarraba ƙoƙari a cikin ainihin lokaci. Wannan bayanin yana ba masu horarwa da likitoci damar daidaita nauyi da hana raunin da ya faru, tsara ayyukan motsa jiki masu inganci, da rage lalacewa da tsagewar jiki a duk lokacin kakar.

Wasanni kamar wasan tennis, ƙwallon ƙafa ko keke suna fa'ida sosai: na'urori masu auna firikwensin raket, bugun feda ko ƙwallo suna ba da damar yin rikodin kowane dalla-dalla game da wasan. gano damar ingantawa da wuraren haɗari. A cikin Amurka, ƙungiyoyi suna son Chicago Cubs da kuma Seattle Seahawks Sun riga sun yi amfani da AI don lura da gajiyar 'yan wasan su da kuma hana raunin da ya faru kafin bayyanar cututtuka na asibiti.

Har ila yau, an saba ganin amfani da Samfuran tsinkaya waɗanda ke ƙayyade matakin dacewar ɗan wasa na gaba bisa ga dabi'un ku na yanzu, yana ba ku damar yanke shawara mai mahimmanci dangane da bayanai ba kawai hankali ba.

Mafi wayo, ƙarin motsa jiki na musamman

AI ya canza yadda 'yan wasa ke shiryawa. Godiya ga kayan aikin da aka haɓaka tare da fasaha mai wayo, ayyukan motsa jiki na iya dacewa da yanayin yau da kullun.

Platforms tare da ci-gaba algorithms suna iya daidaitawa, kusan a cikin ainihin lokaci, ƙarfin, tsawon lokaci da nau'in motsa jiki wanda kowane ɗan wasa ya kamata ya yi. Wannan ba kawai yana ɗaga matakin gasa ku ba, har ma yana rage haɗarin wuce gona da iri ko gajiya mai tsanani.

Bugu da ƙari, tsarin hangen nesa na wucin gadi yana ba da izini nazarin halittun halittu na ƙungiyoyi don gyara lahani na fasaha da inganta ingantaccen aiki a cikin aiwatarwa. Ana amfani da kyamarori masu sauri da aka haɗa tare da AI don gano kurakuran da ba a sani ba, misali a cikin hidimar wasan tennis ko dabarar tsalle a cikin wasannin motsa jiki.

A cikin wasanni na ƙungiya, kamar ƙwallon ƙafa ko ƙwallon hannu, AI yana taimakawa wajen karatu yunƙurin ƙungiyar da haɗin kai na dabara. Yi nazarin matsayi, yanayi, da yanke shawara da aka yanke yayin wasa don haɓaka dabarun gabaɗaya da daidaitawa da dabara akan abokan gaba.

Kyakkyawan yanke shawara a gudanar da wasanni

 

Amfani da fasaha na fasaha na wucin gadi a cikin wasanni bai iyakance ga horo da gasa ba. A ciki mafi jagora da dabarun sashi A cikin kulake, ana amfani da AI don haɓaka matakai, sarrafa rosters, da hasashen sakamakon kuɗi da wasanni.

Ta hanyar nazarin ɗimbin ɗimbin bayanai na tarihi da na ainihin lokaci, ƙungiyoyi za su iya Yi hasashen yanayi mai mahimmanci, kamar manyan raunin da ya faru, faɗuwar aiki, ko fare mara kyau akan canja wuri.

Tsarin na yanzu yana ba da damar auna ƴan wasa ba kawai akan cancantar da suka gabata ba har ma akan yuwuwarsu na gaba, yin nazarin yanayin jiki, dabara, da na tunani. Wannan yana ba da a fa'idar gasa babba idan aka kwatanta da hanyoyin gargajiya bisa ilhamar ƴan leƙen asiri.

Ƙarin daidaito da adalci

Ɗaya daga cikin tsofaffin ƙalubale a wasanni shi ne batun yanke hukunci na alkalan wasa. Godiya ga basirar wucin gadi, wannan matsala ta fara raguwa saboda godiya ga kayan aiki irin su VAR (Mataimakin Alkalin Bidiyo)ko kuma tsarin "hawkeye" a wasan tennis.

Waɗannan tsarin suna amfani da kyamarori da yawa, na'urori masu auna firikwensin, da algorithms gano motsi don ɗauka da tantance wasan kwaikwayo tare da madaidaicin daidaito. A cikin ƙwallon ƙafa, alal misali, ana zana layukan atomatik don bincika offside, yayin da a cikin wasan tennis, ana sake haifar da tasirin ƙwallon a saman a 3D.

Bugu da kari, wasanni irin su baseball da kwando sun riga sun shiga amfani da tsarin da gano ɓarna, buge ko wasan maɓalli a cikin cikakken haƙiƙa hanya. A cikin NBA, alal misali, ana amfani da algorithms don gano tuntuɓar da ba ta dace ba da kuma nazarin shawarar alkalin wasa.

Wannan ba kawai inganta adalci a wasan ba, amma yana kara nuna gaskiya na gasa kuma yana rage rikice-rikicen da ke tattare da yanke shawara na ɗan adam.

Canza ƙwarewar fan

Wani babban juyin da AI ya kawo wa wasanni shine hanyar da magoya baya suka fuskanci ashana, daga gida da kuma a cikin filin wasa. Ta hanyar nazarin bayanai na lokaci-lokaci, ana iya ƙirƙirar abun ciki na musamman don haɓaka ƙwarewar fan.

Kungiyoyin wasanni da dandamali suna amfani da AI zuwa bincika halaye, abubuwan sha'awa, da halayen mabukaci na magoya baya don haka suna ba da keɓantaccen abun ciki: ƙididdiga masu ƙididdigewa, sake kunna wasannin da aka fi so, shawarwarin siyayya na keɓaɓɓu, har ma da shawara kan mafi kyawun wurin zama a filin wasa.

Yawancin dandamali na dijital sun riga sun bayar gogewa tare da haɓakar gaskiya da ra'ayoyi 360º daga na'urorin hannu, waɗanda ke ba da izinin ƙara yawan nutsewa yayin taron wasanni. Bugu da ƙari, ana amfani da mataimakan kama-da-wane da na taɗi don amsa tambayoyi da ba da bayanai ga magoya baya nan take.

Kayan aiki mai wayo da ingantattun kayan aiki

AI kuma ya sake fasalin ƙirar kayan wasanni da kayan horo. Kamfanoni kamar Adidas da Wilson sun haɗa fasahohi masu wayo a cikin ƙwallansu, raket, da tufafinsu don haɓaka kwazon 'yan wasa.

An ƙirƙiri ƙwallo na ƙwallon ƙafa waɗanda ke daidaita hanyar jirginsu tare da daidaitaccen milimita, raket waɗanda ke ba da ra'ayi kan fasaha tare da kowane harbi, da takalma masu gudu. Suna daidaita kwantar da hankali bisa ga gajiyar ɗan wasan.

Akwai ma kekuna waɗanda ke haɗa bayanan GPS da bayanan zirga-zirga don ƙididdigewa hanya mafi inganci bisa ga manufa. Duk wannan yana dogara ne akan tsarin basira wanda ke koya daga mai amfani a ainihin lokacin.

Amfani da AI don tsaron filin wasa da samun dama

Ta fuskar tsaro da kayan aiki, aiwatar da tantance fuska da na’urorin zamani ya sabunta shigar filin wasa. Kungiyoyi kamar Osasuna sun riga sun yi amfani da waɗannan tsarin don ba da izini sauri da aminci ga magoya baya, rage layukan layi da haɓaka ta'aziyya ba tare da lalata kariya ba.

Bugu da kari, ƙwararrun algorithms suna gano alamun tashin hankali a shafukan sada zumunta da dandamali na kan layi tare da manufar hana kalaman ƙiyayya da abubuwan ban haushi, kamar yadda lamarin yake kayan aikin FARO da LaLiga ke amfani da shi.

Wannan kyakkyawan misali ne na yadda AI ba kawai inganta wasan kwaikwayon ba, amma yana ba da gudummawa ga ƙarin yanayi mai mutuntawa da haɗakarwa ciki da wajen filin wasa.

Kalubalen ɗabi'a da zamantakewa a cikin aiwatar da AI

Kodayake aikace-aikacen basirar wucin gadi a cikin wasanni suna da ban sha'awa, akwai kuma al’amuran da’a da zamantakewa da ya kamata a yi la’akari da su. Daidaituwar samun wannan fasaha na iya zama hasara ga kulab ɗin da ke da ƙarancin albarkatu, yana haifar da sabon rata tsakanin ƙungiyoyi.

Hakanan akwai damuwa akai-akai game da sirrin bayanan halitta da na sirri wanda aka tattara ta waɗannan tsarin. Don haka, yana da mahimmanci a kafa ka'idoji don sarrafawa, yarda, da amfani da wannan bayanin a bayyane.

Wani haɗarin da zai iya faruwa shine asarar "jigon ɗan adam" na wasanni. Dogaro da yawa akan AI don dabarun dabaru ko yanke shawara na iya sanya wasan ya zama mai sarrafa kansa da iya tsinkaya. Don waɗannan dalilai, masana sun jaddada buƙatar yin amfani da AI cikin alhaki.