- Lub tshuab tshawb nrhiav pub dawb uas siv AI los saib xyuas qhov tseem ceeb ntawm cov ntsiab lus thiab muab TLDR thiab nyeem cov ntsiab lus.
- Citation metrics nrog cov ntsiab lus xws li influential citations thiab seem uas qhov citation yog tsim, muab cov ntsiab lus zoo.
- BibTeX/RIS exports thiab pej xeem API; zoo tagnrho rau SMEs uas xav tau kev taug qab tsis muaj kev sib koom ua ke loj.
¿Semantic Scholar ua haujlwm li cas? Nrhiav cov ntaub ntawv tshawb fawb txhim khu kev qha yam tsis tau them nyiaj euro yog qhov ua tau, thiab nws tsis yog khawv koob: nws yog ib qho teeb meem ntawm kev siv cov cuab yeej kom raug. Semantic Scholar, siv los ntawm Allen lub koom haum rau AI, sib txuas AI thiab qhov ntsuas kev kawm loj heev kom cov kws tshaj lij, SMEs thiab cov kws tshawb fawb tuaj yeem nrhiav, nyeem thiab nkag siab txog cov ntsiab lus tseem ceeb yam tsis tau poob rau hauv hiav txwv ntawm cov ntawv tshaj tawm.
Ntau tshaj li lub tshuab tshawb nrhiav classic, qhov no tseem ceeb rau lub ntsiab lus ntawm cov ntsiab lus, tsis yog cov ntsiab lus tseem ceeb xwb. Ib kab lus cov ntsiab lus (TLDRs), kev nyeem ntawv zoo, thiab kev ntsuas kev ntsuas nrog cov ntsiab lus zoo Lawv pab koj txiav txim siab sai npaum li cas yog qhov tsim nyog nyeem hauv qhov tob thiab yuav ua li cas kom pom tseeb qhov zoo ntawm txhua qhov kev kawm hauv cov ntawv ceeb toom, cov lus pom zoo, lossis cov ntsiab lus thev naus laus zis.
Semantic Scholar yog dab tsi thiab leej twg yog tom qab nws?
Semantic Scholar yog ib lub tshuab tshawb nrhiav pub dawb uas muab kev txawj ntse txawj ntse ntawm kev pabcuam kev nyeem ntawv tshawb fawb. Lub platform tau tsim nyob rau hauv 2015 nyob rau hauv lub Allen lub koom haum rau AI (AI2), ib tug non-profit lub koom haum tsim los ntawm Paul Allen., nrog rau lub hom phiaj ntawm kev ua kom nrawm ntawm kev tshawb fawb los ntawm kev pab nrhiav thiab nkag siab txog kev tshawb fawb txog kev tshawb fawb.
Qhov project tau loj hlob ntawm qhov nrawm nrawm. Tom qab koom nrog cov ntaub ntawv biomedical hauv 2017 thiab tshaj 40 lab cov khoom hauv computer science thiab biomedicine hauv 2018Lub corpus tau dhia hauv 2019 los ntawm kev sib koom ua ke ntawm Microsoft Academic cov ntaub ntawv, tshaj 173 lab cov ntaub ntawv. Xyoo 2020, nws mus txog xya lab tus neeg siv txhua hli, qhov qhia meej ntawm kev saws me nyuam hauv zej zog kev kawm.
Kev nkag tau yooj yim thiab dawb. Koj tuaj yeem sau npe nrog koj tus lej Google lossis los ntawm lub tuam txhab profile thiab pib txuag cov tsev qiv ntawv, ua raws li cov kws sau ntawv, thiab qhib cov lus pom zoo.Tsis tas li ntawd, txhua tsab ntawv txheeb xyuas tau txais tus cim tshwj xeeb, Semantic Scholar Corpus ID (S2CID), uas pab txhawb kev taug qab thiab hla kev xa mus.
Nws lub hom phiaj tau teev tseg yog txhawm rau txo cov ntaub ntawv overload: Ntau lab cov ntawv raug luam tawm txhua xyoo, muab faib thoob plaws kaum tawm txhiab phau ntawv.Thiab kev nyeem txhua yam tsuas yog tsis ua tau. Tias yog vim li cas lub platform tseem ceeb tshaj qhov tseem ceeb thiab qhia txog kev sib txuas ntawm cov haujlwm, cov kws sau ntawv, thiab thaj chaw.
Piv rau lwm cov indexers xws li Google Scholar Labs los yog PubMed, Semantic Scholar tsom mus rau qhov tseem ceeb ntawm qhov muaj txiaj ntsig thiab qhia kev sib raug zoo ntawm cov ntawv., suav nrog kev txheeb xyuas semantic thiab cov txiaj ntsig zoo tshaj tawm uas mus dhau qhov kev suav lej yooj yim.
Nws ua haujlwm li cas: AI kom nkag siab cov ntsiab lus thiab saib xyuas qhov tseem ceeb
Lub hauv paus thev naus laus zis sib xyaw ua ke ntau qhov kev qhuab qhia AI kom tau ncaj qha mus rau lub ntsiab lus nrog txhua daim ntawv. Natural language modeling, machine learning, thiab computer vision ua hauj lwm ua ke txhawm rau txheeb xyuas cov ntsiab lus tseem ceeb, qhov chaw, cov duab, thiab cov ntsiab lus hauv cov ntawv tshawb fawb.
Ib qho ntawm nws cov yam ntxwv txhais yog TLDR, ib qho tsis siv neeg "ib kab lus" cov ntsiab lus ntawm kev paub daws teeb meem uas captures tsab xov xwm lub hauv paus tswv yim. Txoj hauv kev no txo qis lub sijhawm tshuaj ntsuam thaum tuav ntau pua cov txiaj ntsig, tshwj xeeb tshaj yog hauv xov tooj ntawm tes lossis thaum saib xyuas ceev.
Lub platform kuj suav nrog kev nyeem ntawv zoo dua. Semantic Reader txhim kho kev nyeem ntawv nrog cov ntawv qhia cov ntsiab lus, cov ntu tseem ceeb, thiab cov kev taw qhiayog li koj tuaj yeem nkag siab txog kev koom tes thiab cov lus qhia yam tsis muaj kev dhia tas li lossis kev tshawb nrhiav phau ntawv ntxiv.
Cov lus pom zoo ntawm tus kheej tsis yog ib qho xwm txheej. Kev Tshawb Fawb Kev Tshawb Fawb kawm los ntawm koj tus cwj pwm kev nyeem ntawv thiab kev sib raug zoo ntawm cov ncauj lus, cov kws sau ntawv, thiab cov lus hais muab cov ntsiab lus tshiab thiab cuam tshuam rau koj, ua qhov tseem ceeb uas haum rau koj txoj haujlwm.
Nyob rau hauv lub hood, "kev txawj ntse" nyob rau hauv vector sawv cev thiab latent kev sib raug zoo. Embeddings thiab citation signals pab nrhiav kev sib txuas ntawm cov ntaub ntawv, co-authorships, thiab thematic evolutionpub ob qho tib si tshawb nrhiav thiab cov tswv yim hloov kho.
Citation metrics nrog cov ntsiab lus zoo
Tus naj npawb ntawm hnub tseem ceeb, tab sis yuav ua li cas thiab qhov twg ntxiv ntau rau zaj dab neeg. Nyob rau ntawm daim npav tau, Cov kev suav suav feem ntau tshwm nyob rau hauv qab sab laug ces kaum, thiab hovering tus nas hla nws qhia qhov kev faib tawm los ntawm lub xyoo.tsis tas yuav nias. Txoj kev no koj tuaj yeem ntsuas ntawm ib sab saib seb qhov kev tshaj tawm tseem muaj nyob hauv kev sib tham txog kev tshawb fawb lossis yog tias nws cuam tshuam rau lub sijhawm tshwj xeeb.
Yog tias koj tso tus cursor hla txhua qhov bar hauv kab ntawv, Koj tau txais qhov ntim ntawm kev teem caij rau ib lub xyoo tshwj xeebCov ntsiab lus me me no yog kub rau kev piav dab neeg zoo: thaum ib tsab xov xwm txuas ntxiv tau txais cov ntawv sau hnub no, Koj tuaj yeem sib cav nrog cov ntaub ntawv tias lawv qhov kev koom tes tseem cuam tshuam hauv zej zog.
Thaum koj nkag mus rau nplooj ntawv kab lus, tej yam tau nthuav ntau dua. Ntxiv nrog rau qhov kev paub daws teeb meem thiab kev sib txuas, cov npe ntawm cov haujlwm uas hais txog nws tshwm sim, thiab nyob rau sab xis sab xis, cov ntaub ntawv ua kom zoo zoo li cov ntaub ntawv muaj txiaj ntsig zoo heev.Ntawd yog, cov ntawv sau cia uas cov ntawv tau ua rau muaj kev cuam tshuam tseem ceeb hauv cov ntaub ntawv suav.
Tib qhov kev pom ntawd tso cai rau koj pom Nyob rau hauv cov nqe lus ntawm kev hais txog kev ua haujlwm li cas qhov kev siv tshwm sim (piv txwv li, Keeb Kwm lossis Cov Txheej Txheem)Cov lus qhia zoo no ua tiav cov suav dawb huv thiab pab piav qhia seb ib tsab xov xwm txhawb nqa txoj haujlwm theoretical, qhia txog kev tsim qauv, lossis siv los ua kev siv tangential.
Ua ke, Kev sib xyaw ua ke ntawm qhov ntau thiab cov ntsiab lus tsim ib lub hauv paus rau kev ua pov thawj pom tseeb hauv kev tshawb xyuas sab hauv, cov lus pom zoo los yog cov ntaub ntawv qhia txog kev mob siab rau, tshwj xeeb tshaj yog thaum kev txheeb xyuas qhov tseeb yog qhov yuav tsum tau muaj.
Cov yam ntxwv tseem ceeb uas ua kom ceev koj qhov kev tshuaj xyuas
Tus nqi lus pom zoo yog embodied nyob rau hauv ib txheej ntawm cov khoom siv tsim los txiav txim siab sai thiab txhim kho kev nyeem ntawv. Cov no yog cov peev xwm uas txuag lub sij hawm ntau tshaj plaws ntawm txhua hnub:
- AI-powered kev tshawb fawb uas yog qhov tseem ceeb ntawm qhov tseem ceeb ntawm semantic thiab qhia txog cov txiaj ntsig tseem ceeb.
- TLDR ntawm kab lus nyob rau hauv cov txiaj ntsig los lim qhov yuav tsum tau them nyiaj rau.
- Semantic Reader nrog txhim kho kev nyeem ntawv, daim npav ntsiab lus, thiab cov ntsiab lus tseem ceeb.
- Kev tshawb fawb pub nrog cov lus pom zoo raws li koj nyiam.
- Cov ntaub ntawv thiab xa tawm BibTeX/RIS, sib xws nrog Zotero, Mendeley, thiab EndNote.
- Public API mus sab laj cov duab qhia kev kawm (tus kws sau ntawv, cov ntawv sau cia, qhov chaw) thiab cov ntaub ntawv qhib.
Yog tias koj ua haujlwm hauv pab pawg me lossis SMEs, kev sib xyaw ua ke ntawm TLDR, kev nyeem cov ntsiab lus, thiab kev xa tawm zoo Nws tso cai rau koj khaws koj cov haujlwm ua haujlwm thiab taug qab tsis tas yuav tsum muaj kev sib koom ua lag luam nyuaj.
AI nthuav dav: los ntawm cov ntsiab lus mus rau kev sib raug zoo ntawm cov ntsiab lus
Cov yam ntxwv ntse tsis txwv rau "ntaus txoj cai" tshawb nrhiav. Lub platform tsim TLDRs tsis siv neeg, txhawb kev nyeem ntawv nrog cov ntsiab lus, thiab tshawb pom cov kev sib txuas ntawm cov ntsiab lus. ua tsaug rau cov qauv lus thiab cov tswv yim pom zoo.
Hauv tshwj xeeb TLDRs pab koj txiav txim siab hauv vib nas this seb daim ntawv puas tsim nyog rau qhov chaw hauv koj lub tsev qiv ntawvTus nyeem ntawv augmented cawm koj los ntawm kev hla dhau los ntawm kev siv; thiab cov lus pom zoo hloov pauv qhia cov kws sau ntawv thiab cov kab uas koj tsis tau paub, tab sis qhov ntawd haum rau koj cov kev nyiam.
Txhua yam no yog ua tau vim AI tsis yog tsuas yog ntsuas cov lus qhia xwb, nws kuj "to taub" cov ntawv nyeem thiab cov ntsiab lus pom (cov duab lossis cov rooj), ua tiav cov txiaj ntsig zoo txog qhov kev pab cuam tiag tiag ntawm txhua txoj haujlwm tshaj li ib txwm siv lo lus tshawb nrhiav cav.
Txoj kev no yog qhov tshwj xeeb tshaj yog pom thaum koj tab tom cuam tshuam nrog cov teb tuab heev. Cov kev sib raug zoo tau pom los ntawm kev sib txuas ntawm cov ntsiab lus, cov kws sau ntawv, thiab qhov chaw Lawv muab cov kev tshawb nrhiav lwm txoj hauv kev uas ua kom nrawm rau daim phiaj xwm ntawm thaj chaw tshawb fawb.
Kev sib koom ua ke, xa tawm, thiab APIs
Hauv cov ntsiab lus ua tau zoo, Semantic Scholar ua haujlwm zoo nrog koj tus thawj tswj hwm phau ntawv uas koj nyiam. Koj tuaj yeem xa cov ntaub ntawv xa tawm hauv BibTeX lossis RIS thiab tswj hwm kev ua haujlwm nrog Zotero, Mendeley, lossis EndNote Seamless. Yog tias koj ua haujlwm nrog cov qauv tshwj xeeb lossis cov qauv sau ntawv, kev xa tawm ua rau nws yooj yim kom tswj tau qhov sib xws.
Rau kev sib koom ua ke ntau dua, Nws muaj REST API pub dawb nrog cov ntsiab lus kawg rau kev tshawb nrhiav, sau ntawv, sau ntawv, thiab cov ntaub ntawv (xws li Semantic Scholar Academic Graph). Raws li cov xwm txheej tau teev tseg, tus yuam sij ntiag tug yuav raug txwv tus nqi ntawm 1 RPS, txaus rau lub teeb yuag automations lossis prototypes.
Yog lawm, Nws tsis muaj kev sib txuas ncaj qha rau CRMs lossis lwm yam kev lag luamYog tias koj xav tau ib lub raj xa dej, koj yuav tsum tsim cov kev cai sib koom ua ke siv API thiab koj cov kev pabcuam sab hauv.
Kev ceev ntiag tug, kev ruaj ntseg thiab kev ua raws cai
Lub koom haum Allen rau AI tswj cov neeg siv nyiaj thiab cov ntaub ntawv. Txoj cai ntiag tug piav qhia txog kev ua tswv cuab thiab siv cov ntaub ntawvsuav nrog tias qee cov ntsiab lus pej xeem yuav raug siv rau kev tshawb fawb thiab kev txhim kho tus qauv, thiab cov ntaub ntawv cov neeg siv tau raug kho raws li txoj cai tam sim no.
Hais txog kev ruaj ntseg, AI2 tshaj tawm cov qauv ntsuas xws li TLS thiab HTTPS los tiv thaiv kev sib txuas lusTsis muaj daim ntawv pov thawj ISO lossis SOC tshwj xeeb tau hais nyob rau hauv cov ntaub ntawv hais txog, yog li hauv kev lag luam ib puag ncig nws raug nquahu kom tshuaj xyuas cov ntsiab lus thiab cov kev cai sab hauv.
Cov lus, kev txhawb nqa, thiab kev paub siv
Lub interface thiab feem ntau ntawm cov ntaub ntawv yog npaj rau lus Askiv. Nws tuaj yeem ntsuas ua haujlwm ua lwm yam lus, tab sis qhov tseeb ntawm kev paub daws teeb meem thiab kev faib tawm yog cov lus Askiv zoo dua.Tsis muaj kev txhawb nqa ua lus Mev; cov kev pab cuam ib txwm muaj yog lub chaw txhawb nqa, FAQs, thiab cov zej zog kev kawm.
Hais txog qhov tsim, Lub interface yog minimalist, nrhiav cav style, nrog cov lim ntshiab thiab cov nplooj ntawv zoo.Koj tuaj yeem nkag ncaj qha rau TLDR, tus nyeem ntawv augmented, thiab cov kev xaiv xaiv thiab xa tawm, uas txo qis qhov tsis tsim nyog.
Mus saib tau txawb
Yog tsis muaj official haiv neeg mobile app. Lub vev xaib teb tau zoo ntawm cov browsers mobile, tab sis tag nrho cov kev paub nyeem ntawv ntxiv thiab kev tswj hwm tsev qiv ntawv zoo dua ntawm desktop.Yog tias koj txav ntawm cov khoom siv, nws yog ib lub tswv yim zoo los npaj koj qhov kev nyeem ntawv tob hauv koj lub computer.
Cov nqi thiab phiaj xwm
Tag nrho cov kev pabcuam pub dawb, tsis muaj kev npaj them nyiaj. Cov pej xeem API kuj yog dawb, nrog tus nqi cap. raws li lub luag haujlwm siv. Rau cov pab pawg nrog cov peev nyiaj nruj, qhov no ua rau muaj qhov sib txawv piv rau cov kev daws teeb meem them nyiaj nrog cov yam ntxwv zoo sib xws.
Kev ntsuam xyuas los ntawm qeb
Ntau qhov chaw ntawm cov cuab yeej ua tau zoo tshaj plaws, nrog rau chav rau kev txhim kho hauv kev lag luam kev koom ua ke thiab kev txhawb nqa ntau yam lus. Qhov kev tshuaj xyuas no muab cov qhab nia nruab nrab hauv qab no: 3,4 tawm ntawm 5, txhawb los ntawm qhov zoo / nqi piv thiab kev ua haujlwm ntawm AI-powered search engine.
| qeb | Ciav nyoog | saib |
|---|---|---|
| Zog | 4,6 | Semantic search, TLDR, thiab augmented reader Lawv nrawm nyeem ntawv tseem ceeb. |
| Kev Sib Koom Tes | 2,7 | Export thiab API yog; cov neeg ua lag luam hauv zos tsis muaj. |
| Lus thiab kev txhawb nqa | 3,4 | Focus in English; pab ntawm FAQs thiab zej zog. |
| Yooj yim ntawm kev siv | 4,4 | Ntshiab, nrhiav cav zoo li interface nrog pom thiab ruaj khov ua haujlwm. |
| Nqe zoo | 5,0 | Kev pabcuam dawb tsis muaj theem them nyiaj. |
Case Study: Lub tuam txhab pab tswv yim txo cov sij hawm tshuaj xyuas
Pab pawg kws sab laj txog kev noj qab haus huv nyob hauv Bogotá xav tau los qhia cov pov thawj ntawm kev kho digital. con Semantic Scholar Lawv tsim lub tsev qiv ntawv thematic, qhib Kev Tshawb Fawb Pub, thiab siv TLDR los lim ntau dua 300 cov ntawv mus rau 40 qhov tseem ceeb.Daim ntawv tshaj tawm tau tshaj tawm hauv ob hnub, nrog rau kev txo qis hauv lub sijhawm tshuaj xyuas ze li ntawm 60%.
Hom kev txuag no tau piav qhia los ntawm kev sib xyaw ntawm kev tshawb pom thiab kev nyeem cov ntsiab lus. Thaum cov ntaub ntawv pov thawj traceability yog qhov tseem ceeb, cov ntawv nyeem ntawv thiab xa tawm mus rau cov tswj hwm phau ntawv Lawv ua kom yooj yim rau kev txheeb xyuas thiab kev tshaj tawm zaum kawg.
Kev sib piv nrawm nrog cov kev xaiv
Muaj cov kev daws teeb meem ntxiv uas npog cov kev xav tau sib txawv ntawm kev nyeem ntawv thiab kev txheeb xyuas lub voj voog. Lub rooj qhia txog qhov sib txawv ntawm txoj hauv kev, kev ua haujlwm, thiab theem ntawm kev sib koom ua ke ntawm cov kev xaiv nrov.
| Tsos | Semantic Scholar | Kev kawm ntawv | Nrhiav Rabbit |
|---|---|---|---|
| Ua kom pom tseeb | AI-powered kev kawm tshawb fawb cav mus nrhiav cov ntawv, sau ntawv, thiab cov ncauj lus. | Tsis siv neeg cov ntsiab lus thiab daim npav sib tham sib rau kev nyeem ntawv zoo. | kev kuaj pom los ntawm daim ntawv qhia kev sib tw thiab kev sib koom ua ke. |
| AI Features | TLDR thiab tus nyeem ntawv ntsiab luscov lus pom zoo. | Kev rho tawm cov ntaub ntawv tseem ceeb thiab tseem ceeb ntawm qhov tseeb thiab cov ntaub ntawv pov thawj. | Network-based cov lus qhia thiab evolution ntawm lub sijhawm ntawm cov ntsiab lus. |
| Kev Sib Koom Tes | Export BibTeX/RISPublic API rau graph thiab search. | Export rau Word / Excel / Markdown / PPT; qhia rau Zotero/Mendeley/EndNote. | Ntshuam/export cov npe thiab txuas mus rau cov thawj coj hauv phau ntawv. |
| Qhov zoo tagnrho rau | Lim cov ntaub ntawv sai sai, nyeem nrog cov ntsiab lus thiab kos cov nqe lus. | Hloov PDFs rau cov ntsiab lus rov siv tau thiab cov ntaub ntawv kawm. | Tshawb cov teb los ntawm kev sib raug zoo thiab cov kev tshwm sim tshwm sim. |
Lim thiab kev ua kom yuam kev uas ua rau txhua qhov sib txawv
Tsis yog txhua yam yog AI; siv cov ntxaij lim dej kom zoo kom tsis txhob muaj suab nrov. Koj tuaj yeem txwv los ntawm kev sib koom ua ke, muaj PDF, thaj chaw ntawm kev paub, lossis hom kev tshaj tawm tsom ntsoov rau qhov koj xav tau tiag tiag. Qhov segmentation no, ua ke nrog TLDR, ua rau kev nyeem ntawv nrawm heev.
Yog tias koj tuaj hla ib tsab xov xwm tsis muaj PDF muaj, Nyob rau hauv tsev kawm ntawv cov chaw, nws yog feem ntau pab tau hu rau lub tsev qiv ntawv kev pab cuam. thov kev taw qhia txog qhov twg thiab yuav ua li cas kom tau txais cov ntawv tag nrho los ntawm kev tso npe lossis qiv nyiaj.
Cov kev coj ua zoo tshaj plaws nrog cov ntawv pov thawj thiab S2CID
Thaum npaj ib daim ntawv tshaj tawm lossis cov ntaub ntawv thev naus laus zis, nws raug nquahu kom tuav cov xov ntawm cov ntaub ntawv xa mus. Tus S2CID tus cim ua rau nws yooj yim dua rau kev hais, hla cov ntaub ntawv sib tham, thiab txheeb xyuas cov ntawv xov xwm. nruab nrab ntawm cov chaw khaws ntaub ntawv thiab cov neeg saib xyuas cov ntaub ntawv, zam qhov tsis meej vim muaj cov npe zoo sib xws.
Tsis tas li ntawd, thaum siv tus nyeem ntawv loj, Cov ntawv teev lus cov ntsiab lus qhia sai sai li cas qhov kev sib cav tau txais kev txhawb nqa. nyob rau hauv cov ntaub ntawv hais, ib yam dab tsi tseem ceeb heev nyob rau hauv ceev xyuas los yog kev nthuav qhia sab hauv.
Cov lus nug nquag nug
Puas muaj txiaj ntsig rau SMEs thiab pab pawg me? Yog lawm. Kev sib xyaw ntawm kev tshawb nrhiav semantic, TLDR, thiab cov ntsiab lus nyeem Nws ua kom cov txheej txheem tshuaj xyuas thiab tswj xyuas kev teem caij traceability. tsis tau nqis peev rau cov kev daws teeb meem kim.
Nws puas ua haujlwm zoo hauv lus Mev? Ib nrab. Nws tuaj yeem ntsuas cov ntaub ntawv hauv ntau hom lus, tab sis Qhov tseeb ntawm cov ntsiab lus thiab kev faib tawm ua tau zoo dua nrog cov ntawv hauv lus Askiv..
Puas muaj mobile app? Tsis yog. Nws yog nkag los ntawm lub browser mobile; Qhov kev nyeem ntawv zoo tshaj plaws thiab kev paub hauv tsev qiv ntawv yog nyob ntawm desktop.
Nws puas muaj API? Yog. Pub dawb REST API nrog cov ntsiab lus tshawb nrhiav, cov kws sau ntawv, cov ntawv pov thawj, thiab cov ntaub ntawv ntawm kev kawm graph; pab tau rau lub teeb automation.
Leej twg ua haujlwm pabcuam? Lub koom haum Allen rau AI (AI2), tshawb fawb lub koom haum tsim los ntawm Paul Allen thiab tsom rau AI rau qhov zoo.
Saib ntawm tag nrho cov duab, lub cuab yeej haum rau thaum koj xav tau lim cov ntaub ntawv ntse, nyeem nrog cov ntsiab lus, thiab khaws cov ntaub ntawv tsis muaj teeb meem. Dawb, nrog rau siv tau zoo AI thiab cov cim qhia tau zooNws tau khwv tau ib qho chaw ntawm qhov zoo tshaj plaws qhib kev pab cuam rau kev ua hauj lwm nrog cov ntaub ntawv tsis nkim sij hawm nyob rau hauv txhua yam hauj lwm.
Mob siab rau technology txij thaum nws tseem me. Kuv nyiam nyob rau hnub tim hauv lub sector thiab, qhov tseem ceeb tshaj, kev sib txuas lus. Tias yog vim li cas kuv tau mob siab rau kev sib txuas lus ntawm thev naus laus zis thiab video game websites tau ntau xyoo. Koj tuaj yeem pom kuv sau txog Android, Windows, MacOS, iOS, Nintendo lossis lwm yam ntsiab lus uas los rau hauv siab.