Uhlolojikelele
I-Boston Dynamics AI Institute (manje eyi-RAI Institute) iyilebhu yocwaningo eyasungulwa iphayona lamarobhothi uMarc Raibert ukuze axazulule izinkinga ezinzima kakhulu kumarobhothi ahlakaniphile, ezemidlalo. Kubalulekile ngoba ihlose ukuhlanganisa i-AI esezingeni eliphezulu namarobhothi ashukumisayo iBoston Dynamics edume ngawo.
I-Boston Dynamics AI Institute iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem.
I-Deep Dive
Sethulwe ngo-2022 ngoxhaso olufika ku-$400 million oluvela kwaHyundai (ongabanikazi beBoston Dynamics), lesi sikhungo siholwa nguMarc Raibert, owasungula iBoston Dynamics futhi waba yiphayona lokuhamba ngerobhothi elinemilenze. Isebenza njengenhlangano ehlukile yocwaningo lomkhathizwe, hhayi inkampani yomkhiqizo, futhi kamuva yaqanjwa kabusha ngokuthi i-RAI Institute (Robotics and AI Institute). Inhloso yayo iqondise ezinkingeni ezine ezinzima: i-AI yokuqonda yamarobhothi, ubuhlakani bezemidlalo (ukunyakaza okusheshayo, okushesha), ihadiwe ethuthukisiwe, nokusebenzisana kwerobhothi lomuntu. Umsebenzi ophawulekayo uhlanganisa ukufundisa i-Atlas humanoid kanye ne-Spot inja yerobhothi ukuziphatha okusha kusetshenziswa ukufunda okuqiniswayo, kanye nebhayisikili irobhothi elizilinganiselayo elibizwa nge-Ultra Mobility Vehicle. Umgomo amarobhothi ahlanganisa amandla aphathekayo emishini ye-Boston Dynamics nokucabanga nokufunda kunezinqubo ezibhaliwe.
I-Technical Insight
Ukubheja kobuchwepheshe okumaphakathi ukufunda okuqiniswayo okuqeqeshelwe ukulingisa i-physics, lapho amarobhothi enza izigidi zezilingo abese edlulisela amakhono kuhardware yangempela - okwaziwa ngokuthi ukudluliswa kwe-sim-to-real. Lokhu kuvumela amarobhothi ukuthi afunde ukuqondisa okuguquguqukayo, okubhalansi okusindayo okuyingozi kakhulu noma okunensayo ukuze kufundwe ngokuqondile kuzingxenyekazi zekhompuyutha ezibizayo. Isikhungo simatanisa lokhu nokulawula okusekelwe kumodeli kanye namamodeli e-AI ayandayo amakhulu ukuze amarobhothi akwazi ukuzivumelanisa nezimo ezintsha esikhundleni sokudlala kabusha ukunyakaza okuhleliwe.
I-Mastering Boston Dynamics AI Institute
I-Boston Dynamics AI Institute (manje eyi-RAI Institute) iyilebhu yocwaningo eyasungulwa iphayona lamarobhothi uMarc Raibert ukuze axazulule izinkinga ezinzima kakhulu kumarobhothi ahlakaniphile, ezemidlalo. Kubalulekile ngoba ihlose ukuhlanganisa i-AI esezingeni eliphezulu namarobhothi ashukumisayo iBoston Dynamics edume ngawo. I-Boston Dynamics AI Institute iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha i-Boston Dynamics AI Institute njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Boston Dynamics AI Institute ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokuzibophezela. 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.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ngesikhathi esifanayo, izimemezelo Zokuqalisa zingase zidlule ukuzinza ekusebenzeni kwangempela kokukhiqiza. 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
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukuqeqesha i-Atlas humanoid ukuze ifunde ukunyakaza okuguquguqukayo ngokufunda kokuqinisa esikhundleni semibhalo
Ukufundisa Spot inja yerobhothi ukukhohlisa okusha nokuziphatha kokuzulazula
Ukwakha ibhayisikili elizimelayo elizimelayo (i-Ultra Mobility Vehicle) elihlala liqondile ngesivinini esinguziro
Ukucwaninga ukudluliswa kwe-sim-to-real ukuze amarobhothi azijwayeze ukulingisa ngaphambi kokusebenza emhlabeni wenyama
Amaphethini Okusebenzisa
I-Boston Dynamics AI Institute isebenza
Ukuqeqesha i-Atlas humanoid ukuze ifunde ukunyakaza okuguquguqukayo ngokufunda kokuqinisa esikhundleni semibhalo.
Ukuqeqesha i-Atlas humanoid ukuze ifunde ukunyakaza okuguquguqukayo ngokufunda kokuqinisa esikhundleni semibhalo Amathimba ngokuvamile athola imiphumela engcono lapho echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Boston Dynamics AI Institute isebenza
Ukufundisa Spot inja yerobhothi ukukhohlisa okusha nokuziphatha kokuzulazula.
Ukufundisa Spot inja yerobhothi ukukhohlisa okusha nokuziphatha kokuzulazula Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Boston Dynamics AI Institute isebenza
Ukuthuthukisa ibhayisikili elizimelayo elizimelayo (i-Ultra Mobility Vehicle) elihlala liqondile ngesivinini esiyiziro.
Ukwakha ibhayisikili elizilawulayo elizilawulayo (i-Ultra Mobility Vehicle) elihlala liqondile kuma-zero speed Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Boston Dynamics AI Institute isebenza
Ukucwaninga ukudluliswa kwe-sim-to-real ukuze amarobhothi azijwayeze ukulingisa ngaphambi kokusebenza emhlabeni wenyama.
Ukucwaninga ukudluliswa kwe-sim-to-real ukuze amarobhothi azijwayeze ukulingisa ngaphambi kokusebenza emhlabeni ophathekayo Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.
Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.
Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.
Ukuqalisa Umhlahlandlela
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.