Uhlolojikelele
I-AI isiza izikhungo zezempilo zomphakathi ukuthi zibone ukuqubuka kwezifo kusenesikhathi, zifanekise indlela izifo ezisakazeka ngayo, futhi ziqondise ukungenelela kuso sonke isibalo sabantu kuneziguli ezingazodwa. Iphendula amasignali ahlakazekile - imibuzo yosesho, amanzi angcolile, idatha yokuhamba - ibe izexwayiso ezisebenzayo.
I-AI Kwezempilo Yomphakathi kanye ne-Epidemiology isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama.
I-Deep Dive
I-Epidemiology icwaninga amaphethini ezifo ngenani labantu, futhi i-AI ikhokhisa kakhulu lokhu ngemithombo yedatha yokuhlola okuvamile entula. Amasistimu afana ne-BlueDot kanye nemibiko yezindaba zemayini ye-HealthMap, amathikithi endiza, namanqampunqampu ezempilo yezilwane ukuze kutholwe ukuqubuka kwezifo; I-BlueDot ihlabe umkhosi ngokudumile iqoqo le-COVID-19 e-Wuhan ngasekupheleni kuka-December 2019. Phakathi nalolu bhubhane, ukufunda ngomshini amamodeli okubikezela okwenzeka ngomshini, kuyilapho i-genomic AI ilandelela ukuvela okuhlukile. Ukubhekwa kwamanzi angcolile manje kusebenzisa amamodeli ezibalo ukulinganisa amazinga okutheleleka komphakathi kumasampula endle - ukubamba ama-spikes ngaphambi kokuvela kwamacala omtholampilo. I-AI iphinde isekele 'i-digital epidemiology,' ihlaziya ukuhamba kwefoni okungaziwa ukuze kufane nokusabalala, futhi isize ukwaba izinsiza eziyivelakancane njengemithi yokugoma. Ukubamba: lawa mathuluzi mahle njengedatha yawo kuphela, futhi ukubika okuchemile noma okungaphelele kungadukisa, njengoba Google I-Flu Trends yenza kabi ngokucabangela umkhuhlane.
I-Technical Insight
Izinkundla zokuhlonza ukuqubuka zihlanganisa i-NLP phezu kwezindaba zezilimi eziningi kanye nokuphakelayo okusemthethweni nokutholwa okungaqondakali ukuze kuvele amaqoqo ezifo angajwayelekile. Ukubikezela kusebenzisa uchungechunge lwesikhathi namamodeli ekhomishini (SIR/SEIR) ngezinye izikhathi anwetshwa ngamanethiwekhi e-neural ukulinganisa inombolo yokukhiqiza R. Ukubhekwa kwe-Genomic kusebenzisa ama-algorithms e-phylogenetic kanye nokuhlanganisa kumasampuli alandelanayo ukuze kulandelelwe imigqa ehlukile. Ugibe oluvelayo ukukhukhuleka komqondo: izimpawu zokuziphatha ezifana namatemu okusesha ashintsha ngokuhamba kwesikhathi, ngakho amamodeli aqeqeshelwe amaphethini esikhathi esidlule ayancipha ngaphandle uma elungiswa kabusha njalo.
I-Mastering AI Kwezempilo Yomphakathi kanye ne-Epidemiology
I-AI isiza izikhungo zezempilo zomphakathi ukuthi zibone ukuqubuka kwezifo kusenesikhathi, zifanekise indlela izifo ezisakazeka ngayo, futhi ziqondise ukungenelela kuso sonke isibalo sabantu kuneziguli ezingazodwa. Iphendula amasignali ahlakazekile - imibuzo yosesho, amanzi angcolile, idatha yokuhamba - ibe izexwayiso ezisebenzayo. I-AI Kwezempilo Yomphakathi kanye ne-Epidemiology isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI Kwezempilo Yomphakathi kanye Ne-Epidemiology njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-AI Kwezempilo Yomphakathi kanye ne-Epidemiology aqondisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Uhlelo lweBlueDot's NLP luskene izindaba zomhlaba wonke kanye nedatha yendiza ukuze kubonakale ukuqubuka kwe-COVID-19 okuvela eWuhan ezinsukwini ngaphambi kwezaziso ezisemthethweni.
Izinhlelo zokugada amanzi angcolile zisebenzisa amamodeli ezibalo ukulinganisa i-COVID-19 kanye novendle ukusatshalaliswa komphakathi kusuka endle ngaphambi kokuhlinzwa kwamacala omtholampilo.
Amapayipi okuqapha e-Genomic (njengalawo angemuva kwe-Nextstrain) asebenzisa ama-algorithms e-phylogenetic ukulandelela okuhlukile kwe-SARS-CoV-2 okusha maduze nje.
Idatha engaziwa yokunyakaza komakhalekhukhwini yenziwe imodeli ukuze ibikezele ukuthi ukukhiya kanye namaphethini ohambo kukuthinta kanjani ukudluliswa kwezifo.
Amaphethini Okusebenzisa
I-AI kwezeMpilo Yomphakathi kanye ne-Epidemiology ekusebenzeni
Uhlelo lweBlueDot's NLP luskene izindaba zomhlaba wonke kanye nedatha yendiza ukuze kubonakale ukuqubuka kwe-COVID-19 okuvela eWuhan ezinsukwini ngaphambi kwezaziso ezisemthethweni.
Uhlelo lwe-BlueDot lwe-NLP luskene izindaba zomhlaba wonke kanye nedatha yendiza ukuze ihlabe umkhosi ngokuqubuka kwe-COVID-19 ezinsukwini zase-Wuhan ngaphambi kwezaziso ezisemthethweni Amathimba ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI kwezeMpilo Yomphakathi kanye ne-Epidemiology ekusebenzeni
Izinhlelo zokugada amanzi angcolile zisebenzisa amamodeli ezibalo ukulinganisa i-COVID-19 kanye novendle ukusatshalaliswa komphakathi kusuka endle ngaphambi kokuhlinzwa kwamacala omtholampilo.
Izinhlelo zokugada amanzi angcolile zisebenzisa amamodeli ezibalo ukulinganisa i-COVID-19 kanye novendle ukusatshalaliswa kwendle ngaphambi kokuhlinzwa kwamacala omtholampilo Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI kwezeMpilo Yomphakathi kanye ne-Epidemiology ekusebenzeni
Amapayipi okuqapha e-Genomic (njengalawo angemuva kwe-Nextstrain) asebenzisa ama-algorithms e-phylogenetic ukulandelela okuhlukile kwe-SARS-CoV-2 okusha maduze nje.
Amapayipi okuqapha e-Genomic (njengalawo angemuva kwe-Nextstrain) asebenzisa ama-algorithms e-phylogenetic ukulandelela okuhlukile okusha kwe-SARS-CoV-2 eduze nesikhathi sangempela Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI kwezeMpilo Yomphakathi kanye ne-Epidemiology ekusebenzeni
Idatha engaziwa yokunyakaza komakhalekhukhwini yenziwe imodeli ukuze ibikezele ukuthi ukukhiya kanye namaphethini ohambo kukuthinta kanjani ukudluliswa kwezifo.
Idatha engaziwa yokunyakaza kwamaselula iye yamodela ukuze ibikezele ukuthi ukuvalwa kwezikhala namaphethini okuhamba akuthinta kanjani ukudluliswa kwezifo Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka komuntu ezimweni ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.