The Isitayela se-AI uthathe igxathu elibalulekile eliya phambili ngo-2023, lilungisa kabusha ukuqonda kwethu ngalokho okungenzeka. Njengoba singena ku-2024, le ntuthuko ayigcini nje ngokufunda; ziyasebenza, zinethonya, futhi zixhumene ngokujulile nemikhakha eyahlukene, ikakhulukazi ama-cryptocurrencies.

Okuhamba phambili kulo mguquko kunamamodeli okufunda ajulile, ama-algorithms ayinkimbinkimbi asephenduke amandla izitayela zakamuva ze-AI. Lawa mamodeli awagcini nje ngokuguqula izimboni zendabuko kodwa futhi enza umthelela omkhulu esikhaleni se-crypto. Lesi sihloko sihlola ukusebenzisana phakathi kwe-AI ne-crypto, sidalula ukuthi amathrendi e-AI alithonya kanjani ikusasa lezimali zedijithali nangale kwalokho.

Ithrendi ye-AI: Ukuqonda I-Hype

Ngo-2023, indawo ye-AI yabona uchungechunge lwempumelelo eyakha lokho abaningi manje abakubiza ngokuthi inguquko ye-AI. Unyaka umakwe ngezinyathelo ezibalulekile ezizindeni ezihlukene ze-AI, kusukela kuma-chatbots kuya ekudaleni okuqukethwe, konke kube nomthelela omkhulukazi ozungeze i-AI namuhla.

Isidlali esibalulekile kulolu guquko bekuyi-OpenAI's ChatGPT, i-AI yezingxoxo ebonise amakhono angakaze abonwe ekucubunguleni ulimi lwemvelo. Impumelelo yayo yabeka isisekelo sokwamukelwa okubanzi nokuhlanganiswa kwe-AI ezinhlelweni zansuku zonke, okwenza ukusebenzisana nemishini kungenamthungo futhi kube okunembile kunangaphambili.

Ngesikhathi esifanayo, i-Google Bard yavela njengomunye umuntu ovelele endabeni ye-AI. Eqhudelana endaweni yamamodeli ezilimi athuthukile, u-Bard ubonise amandla e-AI ekuqondeni nasekukhiqizeni umbhalo ofana nomuntu, okuqhubekisela phambili umfutho wokuncintisana kanye nokuqanjwa okusha ekucutshungulweni kolimi lwe-AI.

Amathrendi e-AI ngale kwe-ChatGPT

Kepha ukuthambekela kwe-AI ngo-2023 kwanda ngale kwama-chatbots. Emkhakheni wokudala okuqukethwe, amathuluzi e-AI aguqule indlela esikhiqiza futhi sisebenzisa ngayo okuqukethwe kwedijithali. Izinkundla eziqhutshwa yi-AI zenze abadali bakwazi ukukhiqiza okuqukethwe okubhaliwe, imidwebo yokuklama, ngisho nokuqamba umculo ngokusebenza kahle nokudala obekungatholakali ngaphambilini. Lokhu kwenziwa ngentando yeningi kokudalwa kokuqukethwe kwavula izindlela ezintsha zokukhuluma nokuxhumana, okukwenza kube isisekelo se-AI hype.

Ubuchwepheshe bokukhiqiza amavidiyo nezithombe nabo babone intuthuko enkulu. Ama-algorithms e-AI akwazi ukudala ukubonwa kwekhwalithi ephezulu nokugqwayiza, ngaphambilini okuyisizinda sabaculi abanekhono nabahleli bevidiyo. Lolu shintsho alusheshisanga kuphela inqubo yokukhiqiza okuqukethwe kodwa luphinde lwaphakamisa izingxoxo ezibalulekile mayelana nendima ye-AI ezimbonini zobuciko.

Lokhu kuthuthukiswa kuma-chatbots, ukudalwa kokuqukethwe, nokukhiqizwa okubukwayo ngokuhlangene kube nomthelela ekwandeni kwentshisekelo nokutshalwa kwezimali kubuchwepheshe be-AI. Amabhizinisi, amakhulu namancane, aqala ukuhlola ukuthi i-AI ingawuguqula kanjani umsebenzi wawo, kuyilapho abathengi bejwayela kakhulu okuhlangenwe nakho okuqhutshwa yi-AI ekuphileni kwabo kwansuku zonke.

Unyaka ka-2023, ngakho-ke, umi njengomzuzu obalulekile emlandweni we-AI. Kwakuwunyaka lapho amakhono e-AI engazange ahlolwe nje kuphela kodwa futhi amukelwa ngezinga elingakaze libonwe ngaphambili. Lokhu kubeke inkundla ye-hype ethokozelwa yi-AI namuhla - i-hype esekelwe entuthukweni ebonakalayo kanye nezinhlelo zokusebenza zomhlaba wangempela eziqhubeka nokulolonga izinto zethu ezingokoqobo zedijithali nezomzimba.

Amathrendi Abalulekile ku-AI

Njengoba sihlolisisa ubunkimbinkimbi bokuvela kwe-AI, izitayela ezimbalwa ezibalulekile ze-AI ziyagqama, zidwebe isithombe esicacile sokuthi i-AI iwulolonga kanjani kabusha umhlaba wezobuchwepheshe.

1. Intuthuko Ekucutshungulweni Kolimi Lwemvelo (NLP):

Ngo-2023, ubuchwepheshe be-NLP benza amagxathu abalulekile, aboniswa amasistimu afana ne-OpenAI's ChatGPT ne-Google Bard. Lezi zinkundla zithuthukise ikhono le-AI lokuqonda, ukuhumusha, kanye nokwenza ulimi olufana nolwabantu, okuholela ekusebenzelaneni okuyinkimbinkimbi nokungenamthungo phakathi kwabantu nemishini.

2. I-AI Ku-Automation Namarobhothi:

Iqhaza le-AI ku-automation liye landa ngaphezu kokukhiqizwa okujwayelekile kwaba yizimboni zesevisi, ezokunakekelwa kwezempilo, kanye nezokuthuthwa kwempahla. Amarobhothi, anikwa amandla yi-AI, manje aseyakwazi ukwenza imisebenzi eyinkimbinkimbi, kusukela ekuhlinzweni okuyinkimbinkimbi kuya ekuphathweni okuphumelelayo kwezindawo zokugcina impahla, okubonisa ukuguquguquka kwe-AI ekusetshenzisweni okuhlukahlukene okusebenzayo.

3. Ukuhlaziywa Kwedatha Eqhutshwa yi-AI kanye Nokuthathwa Kwezinqumo:

Amabhizinisi aya ngokuya esebenzisa i-AI ekwenzeni izinqumo eziqhutshwa yidatha. Ama-algorithms e-AI angakwazi ukuhlaziya amasethi edatha amaningi ukuze embule amaphethini nemininingwane, asize ezindaweni ezifana nokuhlaziywa kwemakethe, ukuqagela ukuziphatha kwamakhasimende, nokulawulwa kwezinhlekelele, ngaleyo ndlela abe ithuluzi eliyigugu kumabhizinisi.

4. I-AI Elungile Nokubusa:

Ngethonya elikhulayo le-AI, ukucatshangelwa kokuziphatha kanye nokubusa sekubaluleke kakhulu. Umphakathi we-AI ugxile ekuthuthukiseni imihlahlandlela yokuziphatha nezinhlaka zokuqinisekisa ukusetshenziswa okufanele kwe-AI, ikakhulukazi mayelana nobumfihlo, ukwenzelela, kanye nokubeka izinto obala.

5. I-AI Ekudalweni Kokuqukethwe:

I-AI iguqule ukudalwa kokuqukethwe, ivumela ukukhiqizwa kokuqukethwe okubhaliwe, okubukwayo, nokuzwayo ngezikali ezingakaze zibonwe. Amathuluzi okudala okuqukethwe okushayelwa yi-AI asefinyeleleka kalula, okuvumela abadali ukuthi bakhiqize okuqukethwe kwekhwalithi ephezulu ngomzamo omncane.

6. Okuhlangenwe nakho kwe-AI okwenzelwe wena:

Ukwenza kube ngokwakho sekuyinto okugxilwe kuyo kakhulu ekuthuthukisweni kwe-AI. Amasistimu e-AI manje asekuhlomele kangcono ukunikeza izincomo eziqondene nawe kanye nolwazi emikhakheni efana ne-e-commerce, ezokuzijabulisa, kanye nempilo, ethuthukisa ukusebenzelana kwabasebenzisi nokwaneliseka.

7. I-AI Nokuvikeleka Kwe-Cybersecurity:

Njengoba izinsongo ze-cyber zivela, kanjalo nendima ye-AI ekuvikelekeni kwe-cybersecurity. Ama-algorithms e-AI asetshenziselwa ukubikezela, ukubona, nokuphendula izinsongo ze-inthanethi ngokunemba okukhulu nangesivinini, abe ingxenye ebalulekile yamasu esimanje okuphepha ku-inthanethi.

8. I-AI Ekunakekelweni Kwezempilo:

Ukusetshenziswa kwe-AI ekunakekelweni kwezempilo kufakazela ukukhula okunamandla, kusukela ekuxilongweni nasekunakekelweni kwesiguli kuya ekutholakaleni kwezidakamizwa kanye ne-epidemiology. I-AI inika amandla ukuxilonga okunembe kakhudlwana, izinhlelo zokwelashwa eziqondene nawe, kanye nemiphumela engcono yesiguli.

Amathrendi amasha e-AI ka-2024

Isimo sezwe se-AI ngo-2024 sigcwele izinto ezintsha, ezimakwa ngentuthuko enkulu kanye namathrendi asafufusa we-AI. Okubili kwentuthuko ephawuleka kakhulu kulo mbuso i-AGI ne-Grok, ngayinye imele igxathu eliyingqayizivele kubuchwepheshe be-AI.

I-AGI: Ukufuna Ubuhlakani Obujwayelekile Bezokwenziwa

I-Artificial General Intelligence (AGI) iphambili kumathrendi e-AI ka-2024. I-AGI iwushintsho lwepharadigm ukusuka kumamodeli amanje e-AI ahamba phambili emisebenzini ethile (evame ukubizwa ngokuthi i-Artificial Narrow Intelligence, noma i-ANI) iye ohlotsheni oluphelele lobuhlakani. kufana nokuqonda komuntu. Umgomo we-AGI uwukwenza imishini engakwazi ukufunda ngokuzimela, icabange, futhi isebenzise ulwazi kuyo yonke inqwaba yemisebenzi neziyalo, njengokufana nomuntu. Lokhu kuthuthukiswa akumeli nje ukweqa kwezobuchwepheshe kodwa futhi nengqopha-mlando ebalulekile yefilosofi nokuziphatha ohambweni lwe-AI.

I-Grok By xAI: Imbangi Entsha Engxoxweni ye-AI

I-Grok, eyakhiwe yinkampani ka-Elon Musk i-xAI, ivela njengomdlali obalulekile kumkhuba we-AI wamabhothi ezingxoxo, okufana ne-OpenAI's ChatGPT. Le bot ye-AI izihlukanisa ngamakhono ayo athuthukile okucubungula ulimi lwemvelo kanye nekhono layo lokuzibandakanya ezingxoxweni ezinengqondo, eziqaphela umongo.

Ukuthuthukiswa kukaGrok kukhombisa ukuthambekela kwe-AI okukhulayo ukuze kwakheke izingxoxo eziyinkimbinkimbi, ezinembile, nezisebenziseka kalula. Lezi zindlela zokuxhumana azikhawulelwe kuphela ezinhlelweni zesevisi yamakhasimende kodwa ziya ngokuya ziba yingxenye ezizindeni ezahlukahlukene, okuhlanganisa imfundo, ukunakekelwa kwezempilo, nosizo lomuntu siqu.

Lawa mathrendi e-AI, i-AGI kanye ne-Grok, ayisihloko nje seqhwa ngonyaka esithembisa ukukhula okubonakalayo kanye nokuqanjwa okusha ku-AI. Njengoba i-AI iqhubeka nokuvela, isethelwe ukuthi ichaze kabusha indlela esisebenzisana ngayo nobuchwepheshe kanye nendlela ubuchwepheshe, bona, obulolonga ngayo umhlaba wethu.

Ochwepheshe Babikezela Amathrendi e-AI ango-2024

Njengoba sizulazula endaweni ethuthukayo ye-AI, imininingwane evela kochwepheshe bemboni inikeza ukubona kusengaphambili okubalulekile kokuthi ikusasa likuphatheleni. Izibalo ezimbili eziphawulekayo, uStephen Anthony kanye noVala Afshar, babelane ngezibikezelo zabo zezitayela ze-AI zango-2024, benikeza amazwibela entuthuko ethokozisayo namashifu esingawalindela.
UStephen Anthony, umdali we-AI Top Rank, usanda kwabelana nge-X (owayeyi-Twitter) izibikezelo zakhe eziyi-15 zezitayela ze-AI ngo-2024. Izibikezelo zakhe zihlanganisa intuthuko ebanzi, ebonisa ikusasa elihlukahlukene nelinamandla le-AI. Yena ithunyelwe:

Izibikezelo eziyi-15 zamathrendi e-AI ngo-2024:

• AGI
• I-Grok
• I-OpenAI
• Ukuthayipha
• I-AI yomuntu siqu
• Ukuvumelanisa
• Amarobhothi e-Humanoid
• Izimoto ezizishayelayo
• Amabhizinisi azenzakalelayo
• ekuhlukanisweni
• Ukucwaninga
• Inqubomgomo
• GPTs
• xAI

Izibikezelo zikaVala Afshar: Izitayela ze-AI zango-2024

U-Vala Afshar, Umvangeli Omkhulu Wedijithali we-Salesforce, naye wabelane ngokujulile nokuqonda kulokho okulindelekile Izitayela ze-AI zango-2024, ikakhulukazi igqamisa ithonya layo elijulile emhlabeni webhizinisi nempilo yansuku zonke yabathengi. Kususelwa ocwaningweni lukaForrester, ukuqagela kwe-Afshar kugcizelela ikusasa elixhumene ngokujulile nentuthuko ye-AI.

I-Afshar ibikezela ushintsho olukhulu ekuzibandakanyeni kwabathengi ne-AI ekhiqizayo, ithi, "u-60% wabangabazayo uzosebenzisa (futhi bathande) i-AI yokukhiqiza - bekwazi noma bengazi." Lesi sitatimende sigcizelela ushintsho oluguquguqukayo ekusebenzelaneni komphakathi ne-AI, ukusuka ekungabazeni kuya ekwamukelweni okusabalele nokwethembela.

Emkhakheni webhizinisi, i-Afshar ibona kusengaphambili i-AI njengesisusa sokukhiqiza okuthuthukisiwe nokudala. Uveza ukuthi, "Izinhlelo ze-Enterprise AI zizothuthukisa ukukhiqiza nokuxazulula izinkinga ngo-50%. Lokhu kukhombisa ukwenyuka okukhulu ukusuka kumazinga amanje, lapho amaphrojekthi we-AI asefinyelele khona ekuthuthukisweni okufika ku-40% ekusebenzeni kahle, ikakhulukazi emisebenzini yokuthuthukiswa kwesoftware.

I-Afshar iphinde igcizelele indima eguqukayo ye-AI ekukhangiseni nasekufakeni uphawu. Ugqamisa ukuzibophezela kwama-ejensi amakhulu ku-AI, ethi, "Ama-ejensi aphezulu ayi-10 azosebenzisa amaRandi ayizigidi ezingama-50 ngokubambisana ukwakha izixazululo ze-AI zangokwezifiso zamakhasimende ebhizinisi." Lokhu kutshalwa kwezimali kubonisa ukukhula kokuqashelwa kwamandla e-AI okuguqula amasu omkhiqizo nokuzibandakanya kwabathengi.

Le mininingwane evela kwa-Afshar yembula indawo lapho i-AI ingelona nje ithuluzi lobuchwepheshe kodwa iyisici esibalulekile sokwenza kabusha amasu ebhizinisi, ulwazi lwabathengi, nokusebenzisana komphakathi ngo-2024.

Amamodeli Wokufunda Okujulile: Ukuhola Ithrendi ye-AI

Amamodeli okufunda okujulile abe semqoka ekuqhubekiseni uguquko lwe-AI, enikeza intuthuko eyisisekelo kuyo yonke imikhakha eyahlukene. Ngo-2023, amanye amamodeli okufunda ajulile aziwa kakhulu futhi anethonya ahlanganisa:
I-Convolutional Neural Networks (CNNs): Yasungulwa ngu-Yann LeCun ngo-1988, ama-CNN, abuye aziwe ngokuthi ama-ConvNets, asetshenziselwa kakhulu ukucutshungulwa kwesithombe nokutholwa kwento. Ziqukethe izendlalelo eziningi futhi ekuqaleni zenzelwe ukuqaphela izinhlamvu ezifana namakhodi e-ZIP namadijithi.

I-Long Short Term Memory Networks (LSTMs): Uhlobo lwe-Recurrent Neural Network, ama-LSTM aziwa ngekhono lawo lokufunda nokubamba ngekhanda ukuncika kwesikhathi eside, okuwenza abe wusizo kakhulu ekubikezelweni kochungechunge lwesikhathi, ukuqashelwa kwenkulumo, ukwakheka komculo, ngisho naku ukuthuthukiswa kwemithi.

I-Generative Adversarial Networks (GANs): Lawa ma-algorithms okufunda okujulile akhiqizayo aklanyelwe ukudala izimo zedatha ezintsha ezifana nedatha yokuqeqeshwa. Ama-GAN ahlanganisa ijeneretha, efunda ukukhiqiza idatha engelona iqiniso, kanye nomcwasi, ofunda ukuhlukanisa phakathi kwedatha yangempela nekhiqizwayo. Babone ukusetshenziswa okwandisiwe ekuthuthukiseni izithombe zezinkanyezi, ukulingisa i-gravitational lensing yocwaningo lwezinto ezimnyama, kanye nokwenyusa ukwakheka kokucaca okuphansi emidlalweni yevidiyo.

Lawa mamodeli amele izibonelo ezimbalwa nje zobuchwepheshe bokufunda obujulile obuhamba phambili kunguquko ye-AI. Izicelo zabo zisukela ekuthuthukiseni ukuqashelwa kwesithombe nenkulumo kuya ekushayeleni okusha kwemidlalo nocwaningo lwesayensi, okugcizelela umthelela oguquguqukayo wokufunda okujulile endaweni yanamuhla ye-AI.

Izindaba Zokufunda Ngomshini: Intuthuko Yakamuva

Ngokuhambisana nentuthuko ekufundeni okujulile, umkhakha obanzi wokufunda ngomshini nawo ubhekene nokwanda kokuqanjwa kabusha nokusetshenziswa. Intuthuko yakamuva ekufundeni komshini ayigcini nje ngokuthuthukisa ubuchwepheshe obukhona kodwa futhi ivula indlela yamathuba amasha.

Enye yentuthuko ebaluleke kakhulu ukuthuthukiswa kwama-algorithms okufunda okungagadiwe kanye nokugadwa kancane. Le ntuthuko ivumela imishini ukuthi ifunde futhi yenze iziqondiso kusuka kudatha engahlelekile ngaphandle kokungenelela komuntu, ivule imingcele emisha ocwaningweni lwe-AI nezinhlelo zokusebenza.

Enye intuthuko ephawulekayo ukuhlanganiswa kokufunda komshini nokuhlaziya idatha enkulu. Le nhlanganisela inika amandla izibalo eziyinkimbinkimbi nezibikezelayo, okuvumela amabhizinisi nezinhlangano ukuthi zithole imininingwane ejulile ngokuziphatha kwabathengi, izitayela zemakethe, nokusebenza ngempumelelo.

Ngaphezu kwalokho, kube nokugxila okukhulayo ekwenzeni amamodeli okufunda ngomshini achazeke futhi abe sobala. Lokhu kuqhubekela ku-AI echazekayo (XAI) kubalulekile emikhakheni efana nokunakekelwa kwezempilo kanye nezezimali, lapho ukuqonda inqubo yokuthatha izinqumo yezinhlelo ze-AI kubaluleke njengezinqumo ngokwazo.

Ukwengeza, umkhakha wokufunda okuqiniswayo ubone ukukhula okumangalisayo. Lo mkhakha wokufunda ngomshini, ogxile ekutheni ama-ejenti kufanele athathe kanjani izinyathelo endaweni ukuze akhulise umbono othile womvuzo oqongelelwe, uya ngokuya usetshenziswa ezimeni zomhlaba wangempela njengamarobhothi nezinhlelo zokulawula ezizenzakalelayo.

Amathrendi aphezulu we-AI ku-Crypto

Ama-cryptocurrensets e-AI yizinhlamvu zemali zedijithali ezisebenzisa ubuchwepheshe bobuhlakani bokwenziwa ukuze kuthuthukiswe izici ezihlukene zokusebenza kwazo kanye ne-ecosystem. Lawa ma-cryptocurrensets ahlanganisa i-AI ukuze kuthuthukiswe ukuphepha, ukusebenza kahle kokuhweba, ukunemba kokubikezela kwezimakethe, kanye nolwazi olunzulu lomsebenzisi. Ngokusekelwe olwazini kanye nezinkambiso ze-AI ezishiwo ngenhla, abatshalizimali bangazama ukubikezela ukuthi yimaphi amathokheni e-AI angabona ukukhula okukhulu.

Yiziphi I-cryptocurrencies ze-AI?

I-cryptocurrencies ye-AI iyinoveli yokuhlanganiswa kobuchwepheshe bobuhlakani bokwenziwa (AI) obunamapulatifomu e-blockchain kanye ne-cryptocurrency. Amathokheni e-crypto empeleni asetshenziselwa ukunika amandla amaphrojekthi ahlobene ne-AI, izinhlelo zokusebenza, kanye nezinsizakalo kumapulatifomu e-blockchain.

Lawa ma-cryptocurrensets ngokuvamile ahlotshaniswa namaphrojekthi anikezwe amandla e-AI, enza ngokuzenzakalelayo izici ezihlukahlukene zempilo kanye nokwenza ngcono ukuqina. Ukuhlanganiswa kwe-AI kula maphrojekthi akuyona nje into entsha; kuthuthukisa ukusebenza kwazo ngokuyisisekelo. I-AI isiza ukwenza ngokuzenzakalelayo futhi ilungiselele izinqubo, isiza ekutholeni okwenziwayo okuwumgunyathi, futhi inikele ekudaleni amamodeli aqagelayo. Ngaphezu kwalokho, isiza ukudalwa kwezinhlangano ezizimele ezizimele (ama-DAO) nezinkontileka ezihlakaniphile ezisebenza ngaphandle kokungenelela kwabantu.

Izinhlamvu zemali ze-AI zisebenza njengamasango alezi zinkundla ezishayelwa yi-AI, ezivumela abasebenzisi ukuthi bathenge futhi basebenzise imikhiqizo noma amasevisi ahlinzekwayo. Ukuhlanganiswa kwe-AI kumabhizinisi e-blockchain kuletha izixazululo ezihlakaniphile emhlabeni we-cryptocurrency, okuhlanganisa ukuqina kobuchwepheshe be-blockchain namandla okuhlaziya athuthukile e-AI.

Empeleni, i-cryptocurrencies ye-AI imele ukuhlangana kobuchwepheshe obuphambili obubili: i-blockchain kanye nobuhlakani bokwenziwa. Le nhlanganisela ivula inqwaba yamathuba okwenziwa okusha endaweni ye-cryptocurrency, kusukela ekuthuthukiseni ukuphepha nokusebenza kahle kuye ekwethuleni imisebenzi emisha ngokuphelele ebingatholakali ngaphambilini. Njengoba i-AI iqhubeka nokuthuthuka, indima yayo emhlabeni we-cryptocurrency kulindeleke ukuthi ikhule, okuholela ezinkundleni zokuxhumana ezithuthuke kakhulu, ezivikelekile, nezisebenziseka kalula.

Lezi Cryptocurrencies Zihola Ithrendi ye-AI

Isigaba esilandelayo sizogqamisa amanye ama-altcoyins amakhulu we-AI, abalwa ngekhephu yemakethe. Lawa mathokheni amele umugqa ophambili wokuphambana phakathi kwe-AI ne-cryptocurrency, ngalinye linendlela yalo eyingqayizivele kanye negalelo ensimini.

Umjovo INJ: Umholi we-AI Trend Nge-Market Cap

Umjovo i-blockchain eklanyelwe ukwakha izinhlelo zokusebenza zezezimali eziqinile nezisebenzisanayo (i-DeFi). Igxile ekuphindaphindeni izinsizakalo ezithile zezezimali zendabuko ngokusebenzisa izinkontileka ezihlakaniphile, ezihlanganisa ukuhwebelana kwamazwe (ama-DEX), izivumelwano zokuboleka/zokuboleka, nezimakethe zokuphuma kokunye.

Isungulwe ngo-2018 ngu-Eric Chen kanye no-Albert Chon, i-Injection ifinyelele amaphuzu abalulekile, okuhlanganisa ukukhululwa kwe-mainnet ngasekupheleni kuka-2021 kanye nekhono lenkontileka ehlakaniphile ngasekupheleni kuka-2022. Le phrojekthi ithole ukwesekwa kubatshalizimali abakhulu be-crypto njengo-Binance kanye namaqembu ezinkampani ezinkulu ezifana ne-Pantera kanye Yeqa i-Crypto.

Indima eyinhloko ye-Injection ukunikeza amamojula esofthiwe ukuze abathuthukisi bakhe izixazululo ze-DeFi. I-ecosystem yayo isekela ukusebenzisana kwemvelo, okuvumela izivumelwano ze-DeFi ukuthi zihlanganyele futhi zifinyelele uketshezi komunye nomunye. Isebenzisa futhi izindali zeqoqo ezivamile ukubhekana nezinkinga ezihamba phambili ku-DEXes.

Umjovo's esiyingqayizivele selling point is the seamless integration of artificial intelligence into its operational framework, optimizing trading activities. The AI algorithms employed by Injective Protocol are designed to ensure optimal pricing for derivatives traders, contributing to a highly liquid environment with minimal trading fees. This integration of AI into its framework plays a crucial role in enhancing the overall trading experience and efficiency on the platform​​.

Ngokungeziwe ekusebenzeni okubalulekile kanye nemigomo ye-Injection okukhulunywe ngayo ekuqaleni, lokhu kuhlanganiswa kwe-AI kuphawula intuthuko ebalulekile endaweni ye-DeFi kanye nobuchwepheshe be-blockchain. Ukusetshenziswa komjovo wama-algorithms we-AI wokuthuthukisa intengo kokuphuma kokunye ohwebayo kukubeka njengenkundla yokuqala ekumpambanweni kwe-AI kanye ne-cryptocurrency.

Igrafu (GRT)

The Graph is a significant player in the AI cryptocurrency space, operating as an indexing protocol for querying data for amanethiwekhi like Ethereum, Arbitrum and IPFS. It plays a vital role in powering many applications in DeFi and the broader Web3 ecosystem.

Igrafu ivumela ukudalwa nokushicilelwa kwama-API avuliwe, aziwa ngokuthi ama-subgraphs, angabuzwa kusetshenziswa i-GraphQL ukubuyisa idatha ye-blockchain. Lokhu kusebenza kusetshenziswe kabanzi, nama-subgraphs angaphezu kuka-3,000 asetshenziswe izinkulungwane zonjiniyela kuzinhlelo zokusebenza ezihlukene ezihlukaniselwe izindawo (i-DApps) ezihlanganisa i-Uniswap, i-Synthetix, i-Aragon, nezinye.

Igrafu inomphakathi oqinile womhlaba wonke, onama-Indexer Node angaphezu kuka-200 kanye nama-Curator angaphezu kuka-2,000 njengengxenye yoHlelo lwayo Lwe-Curator. Ikhulise izimali ezibalulekile zokuthuthukiswa kwenethiwekhi kusuka kuma-VC amasu kanye nabantu abanethonya emphakathini we-blockchain, kuhlanganise ne-Coinbase Ventures kanye ne-ParaFi Capital.

Ngokuya nge-tokenomics, i-Graph isebenzisa i-Graph Token (GRT), ithokheni ye-ERC-20 ku-blockchain ye-Ethereum. I-GRT ithokheni yomsebenzi esetshenziswa ama-Indexers, Curators, kanye nama-Delegators ukuze kuhlinzekwe ngamasevisi enkomba nokukhetha kunethiwekhi. Abahlanganyeli kunethiwekhi bangathola imali engenayo ngokulingana nenani lomsebenzi abawenzayo kanye nesiteki sabo se-GRT, okugqugquzela ukubamba iqhaza okusebenzayo nokubamba iqhaza ekuthuthukisweni nasekulungiseni inethiwekhi.

I-Render Network (RNDR): I-Contender Entsha Kuthrendi ye-AI

I-Render Network (RNDR) iyinkundla yokunikezela ehlukaniselwe indawo eyenzelwe ukusebenzisa imijikelezo ye-GPU engasetshenziswanga ekukhiqizeni imidiya. Ixhuma abadali bokuqukethwe nabahlinzeki be-GPU, ithuthukisa ukusetshenziswa kwezinsiza futhi ivumele ukufinyelela okunezindleko eziphansi kumandla we-GPU. Ithokheni ye-Render Network, i-RNDR, ikhuthaza ama-node ukuthi anikele ngamandla awo okwenza ikhompuyutha, iqondise ukunikezwa kokuqukethwe okubonakalayo okusebenzayo kanye nokusebenzelana nezindawo ezigxilile ze-3D.

I-Render Network isebenza ngenqubo ehlanganisa ukuthunyelwa komsebenzi ngabadali bokuqukethwe, indlela yamanani eguquguqukayo, ukusatshalaliswa kwemisebenzi okuphumelelayo phakathi kwabahlinzeki be-GPU, nokuqinisekisa okungenathemba ukuze kuqinisekiswe ikhwalithi yemiphumela enikeziwe.

A pivotal aspect of Render Network’s ukuziphendukela kwemvelo is its partnership with the decentralized cloud service io.net. This collaboration aims to expand AI-focused GPU suppliers and create the world’s largest Decentralized Physical Infrastructure Network (DePIN) for AI. Render Network’s integration with io.net extends its capabilities beyond rendering to machine learning applications, highlighting its commitment to meeting the growing demands of AI and machine learning​.

Lokhu kunwetshwa kwezinhlelo zokusebenza ze-AI kumele isinyathelo esibalulekile se-Render Network, ekhombisa isimo sokusetshenziswa esibanzi kubahlinzeki bayo be-GPU abasabalalisiwe. Ngokwenza lula ukukhula kwe-AI nokufunda komshini, i-Render Network izibeka phambili ekuthambekeni kwe-cryptocurrency AI, ekhombisa amandla obuchwepheshe be-blockchain ekusekeleni izidingo ezithuthukile zokubala.

I-Theta Network (THETA)

I-Theta Network, inethiwekhi esekwe ku-blockchain yokusakaza ividiyo, yethulwa ngo-2019 ukuze ihlukanise futhi ithuthukise inqubo yokulethwa kokuqukethwe kwevidiyo. Ibhodi layo labeluleki lihlanganisa uSteve Chen, umsunguli we-YouTube, kanye noJustin Kan, umsunguli we-Twitch. Ithokheni yomdabu yenethiwekhi, i-THETA, isetshenziselwa imisebenzi yokuphatha futhi isekelwa abadlali abakhulu abafana ne-Google ne-Sony Europe.

I-Theta ihlose ukuthuthukisa imboni yokusakazwa kwamavidiyo ngokubhekana nezinkinga zokubeka indawo eyodwa, ingqalasizinda, nezindleko, ukuzuzisa abasebenzisi bokugcina nabadali bokuqukethwe. Isungulwe nguMitch Liu noJieyi Long, ithimba leTheta liletha ingcebo yesipiliyoni kwezemidlalo, izimboni zamavidiyo, nezinhlelo ezisabalalisiwe. Ubungcweti babo bubalulekile ekuthuthukisweni kwe-Theta, okubandakanya izinhlelo zokusebenza ezidluliselwe ezindaweni (i-DApps) endaweni yayo.

Okwenza i-Theta ihluke indlela yayo yokusabalalisa ukusakazwa kwevidiyo ezindaweni, ukulethwa kwedatha, kanye nekhompyutha, okwenza lezi zinqubo zisebenze kahle futhi zingabizi. Inethiwekhi inamathokheni amabili omdabu: I-Theta (THETA) yokubusa kanye ne-Theta Fuel (TFUEL) yokusebenza. Imodeli ye-Theta iklomelisa ababukeli ngokwabelana ngezinsiza zenethiwekhi futhi inikeza inkundla yomthombo ovulekile enamandla okubusa abanikazi bamathokheni.

Ukusetshenziswa kwe-Theta kwe-AI kuthuthuke kakhulu ngokubambisana kwayo ne-FedML, umshini wokufunda ngokubambisana/ohlangene kanye nenkundla ye-AI esemaphethelweni. Lokhu kubambisana kugxile ekusebenziseni i-Theta's Edge Network, esetshenziswa izinkulungwane zama-node ahlukaniswe, wokufunda ngomshini ngokubambisana kanye namacala okusebenzisa i-AI. Ubambiswano lugcizelela i-AI ekhiqizayo kanye nesincomo sokuqukethwe, okuvumela ukuqeqeshwa okusebenzisanayo okukhulu, okugcina ubumfihlo kwamamodeli we-AI kanye nokusatshalaliswa kwamamodeli we-AI ngezincomo zokuqukethwe komuntu siqu.

Inethiwekhi ye-Oasis (ROSE)

I-Oasis Network, eyaziwa nangokuthi i-ROSE, iyinkundla ye-blockchain egxile kubumfihlo. Idizayinelwe ukusekela izinhlelo zokusebenza ezihlukaniselwe amazwe (i-dApps) kanye namacala ahlukahlukene okusetshenziswa kwe-blockchain, egcizelela ubumfihlo kanye nokuphathwa kwedatha okunokwethenjelwa, okuvikelekile.

Le phrojekthi isebenzisa ngenkuthalo ubuchwepheshe be-AI ngokusebenzisa ubudlelwano obuhlukahlukene kanye nezinhlelo zokuthuthukisa ubumfihlo kanye nokuzimela kwedatha ngaphakathi kwe-ecosystem yayo ye-blockchain. Ngakho, i-Oasis ibambisene nePersonal.ai ukuthuthukisa amapayipi e-AI avikela idatha yomuntu ngamunye. Ukusebenzisana kuhloswe ukuthuthukisa amamodeli e-AI engxoxo avikela idatha yomuntu ngamunye. Ifinyelela lokhu ngokuvumela ukuqeqeshwa kwe-AI ngedatha yomuntu siqu kuphela ngokufinyelela okuqinisekisiwe, okuvunyelwe, ngaleyo ndlela kuvikelwe abadali nemiphakathi yabo eku-inthanethi.

Okumangazayo, iphrojekthi yenze umfelandawonye neyunithi ye-AI ye-Meta Platforms Inc. Lokhu kubambisana kuqondiswe ekuthuthukiseni amakhono e-AI, nakuba imininingwane ethile yezinhlelo noma amaphrojekthi ngaphansi kwalo mfelandawonye ayizange inikezwe emthonjeni okhonjiwe. Ukusebenzisana okunjalo nenkampani enkulu yezobuchwepheshe kubonisa ukutshalwa kwezimali okukhulu ekuhlanganiseni ubuchwepheshe be-AI ngaphakathi kwe-Oasis ecosystem.

I-FAQ: Amathrendi e-AI

Iyini Ithrendi Entsha ye-AI?

Umkhuba wakamuva we-AI ukuhlangana kwe-AI nobuchwepheshe be-blockchain, okuholela ekuthuthukisweni kwezimali ze-crypto ze-AI kanye nezinhlelo zokusebenza ze-AI ezihlukaniselwe izwe.

Yiziphi Izitayela Zamanje Ku-Artificial Intelligence 2024?

Amathrendi angukhiye afaka i-AI ekhiqizayo, ukufunda ngomshini ngokuhlanganyela, i-AI kwezezimali ezinikezwe amandla, kanye nentuthuko ekuvikelekeni kwe-inthanethi okuqhutshwa yi-AI.

Iyini Ithrendi Entsha ye-AI?

Ukuthambekela okubalulekile ukusetshenziswa kwe-AI ekunconyweni komuntu siqu kokuqukethwe, ukufunda okuhlanganyelwe, kanye nokuthuthukisa ukusakazwa kwamavidiyo kanye nolwazi lokudlala.

Yiziphi i-Artificial Intelligence Emerging Technologies?

Ubuchwepheshe be-AI obusafufusa buhlanganisa i-quantum AI, i-Neuro-symbolic AI, i-AI enqenqemeni, kanye nezinhlelo zokusebenza ezisakazwayo eziqhutshwa yi-AI.

Imaphi Amathrendi Wokuklama we-AI wakamuva?

Amathrendi edizayini ye-AI agxile ekuxhumaneni okugxile kubasebenzisi, i-AI ezimbonini zobuciko ezifana nemfashini nezakhiwo, kanye nokuhlanganiswa kwe-AI ekwakhiweni kokuhlangenwe nakho komsebenzisi.

Yiziphi Izitayela Zamanje ze-AI?

Amathrendi amanje afaka i-AI ku-cryptocurrency, ezezimali ezihlukaniselwe amazwe, kanye nokusetshenziswa okwandayo kwe-AI ekuhlaziyeni idatha nasekumodeleni okubikezelwayo.

Ayini Amathrendi Amasha Obuhlakani Be-Artificial?

Amathrendi amasha afaka i-AI kubuchwepheshe be-blockchain, amamodeli okufunda emishini athuthukile emikhakheni ehlukahlukene, kanye nezinhlelo zokusebenza ze-AI kumanethiwekhi onqenqemeni wekhompuyutha kanye nokulethwa kokuqukethwe.

Yiziphi Intuthuko Yakamuva Ekufundeni Ngomshini?

Intuthuko ihlanganisa intuthuko ekufundeni okuhlanganyelwe, ukuphepha kwe-inthanethi okunikwe amandla nge-AI, kanye nokukhula kokufunda okungagadiwe nokuqiniswayo.

Yiziphi Izitayela Zamanje Zomkhakha we-AI?

Imboni ye-AI ibona izitayela ezifana ne-AI ezinsizeni zezezimali, ezokunakekelwa kwezempilo, nezokuzijabulisa, ngokugcizelela okukhulayo ekuphathweni kwe-AI nokuziphatha kwe-AI.

Ithrenda kanjani i-AI Emikhakheni Ehlukene?

I-AI ithrendayo emikhakheni efana nokunakekelwa kwezempilo, ezezimali, imfundo, nokuzijabulisa, ngezinhlelo zokusebenza ezisukela kumathuluzi okuxilonga kuye ekufundeni komuntu siqu kanye nezincomo zokuqukethwe.

Yiziphi Izindlela Zakamuva Zokufunda Ngomshini?

Amathrendi akamuva ahlanganisa ukukhuphuka kwezinkundla zokufunda zomshini ezingenakhodi nekhodi ephansi, ukufunda komshini okushumekiwe (TinyML), kanye nokusetshenziswa okwandayo kokufundwa komshini emisebenzini yebhizinisi (MLOps).

Yiziphi Izinto Ezintsha Ezivela Kubuchwepheshe Bokufunda Okujulile?

Izinto ezintsha zihlanganisa ukuthuthuka kwezakhiwo zenethiwekhi ye-neural, ukufunda okujulile kokucubungula ulimi lwemvelo, kanye nokusetshenziswa kokufunda okujulile ezinhlelweni ezizimele namarobhothi.

Ngabe i-AI Trend ithuthuka kanjani ezikhathini zakamuva?

Umkhuba we-AI uthuthukela kuzinhlelo zokusebenza ezididiyelwe kakhulu nezihlukaniselwe amazwe, ngokugxila ekuthuthukiseni ulwazi lwabasebenzisi nokwandisa amakhono e-AI ezimbonini ezihlukahlukene.

Yiziphi Izindlela Ezinhlanu Eziphezulu Zokusungula Intelligence?

Ukuqanjwa kwe-AI okuphezulu kufaka phakathi i-AI ku-blockchain, ukuthuthuka kwe-AI ekhiqizayo, izixazululo ze-cybersecurity eziqhutshwa yi-AI, ukufunda okuhlanganyelwe, kanye nezicelo ze-AI ekuxilongweni kokunakekelwa kwezempilo.

Ukufunda Okujulile Kusetshenziswa Kanjani Ku-Artificial Intelligence Namuhla?

Ukufunda okujulile kunika amandla ukubonwa kwesithombe nenkulumo, kuqhuba ukuhlaziya okubikezelayo, kusebenza kumasistimu azimele. Iphinde ibe ngeyakho okuhlangenwe nakho komsebenzisi kumapulatifomu edijithali ahlukahlukene.

Yiziphi I-Emerging AI Technologies?

Ubuchwepheshe obusafufusa be-AI buhlanganisa i-quantum computing ku-AI, izinhlelo zokusebenza ze-blockchain ezishayelwa yi-AI, amamodeli okufunda emishini athuthukile okuhlaziya idatha enkulu, kanye ne-AI kukhompyutha enqenqemeni.

Yiziphi Izinyathelo Ezinhlanu Zobuhlakani Bokwenziwa Okumele Uzibuke?

Intuthuko ongayibuka ihlanganisa i-AI kwezezimali ezihlukaniselwe abantu, amamodeli athuthukisiwe okucubungula ulimi lwemvelo, i-AI ekunakekelweni kwezempilo okubikezelwayo, ingqalasizinda yedolobha elihlakaniphile eqhutshwa yi-AI, kanye nokuqanjwa kwe-AI kokusimama kwemvelo.

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