Teburin Abubuwan Ciki[Boye][Nuna]
- Don haka, menene fasahar Neuromorphic?
- Ta yaya fasahar Neuromorphic ke aiki?
- Abubuwan amfani da rayuwa ta ainihi na fasahar Neuromorphic
- Yanzu, menene Intelligence Artificial ko AI?
- Fasahar Neuromorphic Vs Artificial Intelligence
- Menene makomar fasahar neuromorphic da hankali na wucin gadi ke riƙe?
- Kammalawa
Cibiyoyin sadarwa na jijiyoyi kafaffen ra'ayi ne a cikin al'ummar hankali na wucin gadi. Kuma yawancin masu aikin suna sane da mahimman sarrafawa da buƙatun makamashi don kusan kowane sanannen horarwar cibiyar sadarwar jijiya.
Wato, ana buƙatar sabon nau'in kayan aiki don yankin ya ci gaba. Wasu masu sana'a sun yi imanin cewa adadi mai kwakwalwa shi ne wannan yanki na kayan aiki.
Umididdigar ƙididdiga fasaha ce da za ta ɗauki shekaru masu yawa don haɓakawa, duk da cewa tana nuna ƙarfin gaske. Har yanzu ba a ɓullo da ka'idodin kimiyyar lissafi yadda ya kamata ba don ba da damar ƙirƙirar samfura masu amfani da araha.
Wannan shine inda amfani da fasahar neuromorphic ya dace.
Ta hanyar yin amfani da gine-gine inda kwakwalwan kwamfuta ke nuna hali irin na neurons, fasahar neuromorphic tana amfani da fa'idodin kwakwalwa. Wannan labarin zai duba sosai wucin gadi hankali da fasahar neuromorphic, da kuma bambance-bambancen su da kamanceceniya.
Don haka, menene fasahar Neuromorphic?
Fasahar Neuromorphic wata dabara ce don ƙirƙirar kwamfutoci waɗanda ke aiki fiye da kwakwalwarmu. Ya ƙunshi haɓaka ƙwararrun kwakwalwan kwamfuta tare da tsarin asali iri ɗaya kamar na jijiyoyin kwakwalwarmu da kuma synapses waɗanda ke haɗa su.
Waɗannan kwakwalwan kwamfuta suna da ikon sarrafa bayanai daidai da yadda kwakwalwa na mutum ya aikata, wanda ke sa su fi tasiri a takamaiman ayyuka kamar sanin ƙima da yanke shawara.
A taƙaice, wata dabara ce don ƙirƙirar kwamfutoci waɗanda za su iya “tunanin” da “koyi” ƙari kamar yadda mutane suke yi yayin da suke cin ƙarancin kuzari da yin sa nan take.
Yana kama da Intelligence Artificial (AI), amma maimakon yin amfani da nagartattun algorithms, yana kwaikwayi yadda kwakwalwarmu ke aiki.
Ta yaya fasahar Neuromorphic ke aiki?
Domin fasahar neuromorphic ta yi aiki, dole ne a gina ƙwararrun kwakwalwan kwamfuta tare da tsarin asali iri ɗaya kamar na jijiyoyin kwakwalwarmu da synapses waɗanda ke haɗa su.
Wadannan kwakwalwan kwamfuta suna da ikon aiwatar da bayanai daidai da yadda kwakwalwar ɗan adam ke yi, wanda ke sa su fi dacewa a takamaiman ayyuka kamar gane tsari da yanke shawara.
A taƙaice, an yi guntu don yin aiki kamar hanyar sadarwa ta synapses waɗanda ke haɗa jijiyoyi a cikin kwakwalwa.
Kama da yadda kwakwalwa ke sarrafa bayanai, guntu tana da ikon sarrafa bayanai a layi daya. Bugu da ƙari, kasancewa mai amfani da makamashi, guntu na iya yin nazarin bayanai kuma ya yanke hukunci nan take yayin da yake cin ƙarancin makamashi fiye da na'urorin sarrafa kwamfuta na al'ada.
Yi la'akari da yin amfani da fasahar neuromorphic don ƙirƙirar kwamfutar da za ta iya gano kare a cikin hoto. Kowane neuron wucin gadi a cikin hanyar sadarwar guntu zai kasance mai kula da duba hoton don wata siffa ta musamman, kamar su Jawo, ƙafafu huɗu, ko wutsiya.
Wannan kare ne, za su yi sigina zuwa wani neuron lokacin da isassun waɗannan ƙwayoyin cuta suka ga siffofi iri ɗaya a cikin hoton.
Abubuwan amfani da rayuwa ta ainihi na fasahar Neuromorphic
Yawancin amfani masu amfani don fasahar neuromorphic suna wanzu a yau, kamar:
Robotics: Motsi da halayen mutum-mutumi za a iya sarrafa su ta hanyar tsarin neuromorphic, kuma waɗannan tsarin suna ba da damar mutummutumi don yanke shawara bisa bayanan firikwensin.
Tsare-tsare masu cin gashin kansu: Za a iya amfani da fasahar Neuromorphic don yanke shawara na ainihi, tsara motsi da sarrafawa, da kuma fahimta a cikin motoci masu tuƙi, drones, da sauran tsarin sarrafa kansu.
Siffar hoto da murya: Tsarin Neuromorphic yana da mahimmanci a aikace-aikace kamar tsarin tsaro, tsarin bincike da dawo da hoto, da na'urorin sarrafa magana saboda suna da inganci sosai a ayyuka kamar tantance abu, Fahimtar fuska, da kuma juyar da magana-zuwa-rubutu.
Intanet na Abubuwa (IoT): Na'urorin IoT kamar kyamarori, microphones, da na'urori masu auna firikwensin na iya yin nazarin bayanai a cikin gida ta amfani da fasahar neuromorphic, kawar da buƙatar aika manyan kundin bayanai zuwa gajimare.
Kiwon lafiya: Za a iya amfani da tsarin Neuromorphic don inganta fasaha na taimako kamar gaɓoɓin hannu da taimakon fahimi, da kuma hoton likita, ganewar asali, da kuma far.
Kudi: Binciken bayanan kuɗi na ainihi, gano ma'amaloli na yaudara, da zaɓin saka hannun jari duk ana iya yin su tare da fasahar neuromorphic.
Yanzu, kun sami kyakkyawar bayyanar da fasahar neuromorphic, lokaci yayi da za ku yi magana game da hankali na wucin gadi da bambanci & kamance tsakanin su.
Yanzu, menene Intelligence Artificial ko AI?
Hankali na wucin gadi, ko AI, shine kwafin hankalin ɗan adam a cikin injina waɗanda aka ƙera don tunani da samun ilimi iri ɗaya ga ɗan adam.
Ya ƙunshi haɓaka tsarin kwamfuta waɗanda ke da ikon aiwatar da ayyuka waɗanda galibi ke buƙatar hankalin ɗan adam, kamar fahimtar magana, tantance hotuna, yanke shawara cikin sauri, da warware batutuwa.
Fasahar da ke baiwa mutummutumi suyi tunani da koyo kamar mutane ana kiranta da AI.
Ana iya amfani da ita don ƙirƙirar kwamfutoci da wasu na'urori waɗanda ke da ikon yin ayyuka waɗanda galibi ke kira ga mutum, kamar fahimtar magana, tantance fuskoki, da yanke hukunci.
Fasahar Neuromorphic Vs Artificial Intelligence
Hankali na wucin gadi (AI) da fasahar neuromorphic suna da alaƙa da alaƙa amma batutuwa daban-daban.
Manufar fasahar neuromorphic, wani yanki na kayan lantarki, shine amfani da kayan aiki na musamman don kwaikwaya ayyukan kwakwalwar ɗan adam.
Sabanin haka, fannin fasaha na wucin gadi ya fi girma kuma ya haɗa da fasahohi da yawa da hanyoyin gina mutum-mutumi masu hankali. Wannan na iya haɗawa da fasaha kamar hankali na wucin gadi, hangen nesa na kwamfuta, da sarrafa harshe na halitta.
Gaskiyar cewa tsarin neuromorphic an halicce su musamman don yin koyi da tsarin neuronal na kwakwalwa yayin da tsarin AI za a iya gina shi a kan nau'i-nau'i na zane-zane yana daya daga cikin manyan bambance-bambance tsakanin fasahar neuromorphic da AI.
Wannan yana nuna cewa yayin da tsarin neuromorphic zai iya zama mafi iyawa fiye da daidaitattun tsarin AI a wasu ayyuka, za su iya zama mafi ƙuntata lokaci guda.
Gaskiyar cewa tsarin neuromorphic sau da yawa ba su da sauƙi fiye da AI saboda ƙirar su don aiwatar da ƙayyadaddun ayyukan ayyuka da yuwuwar wahala a cikin saurin daidaitawa zuwa sabbin ayyuka wani muhimmin bambanci ne.
Koyaya, tsarin neuromorphic yana da yuwuwar zama mafi ƙarfin kuzari da yin aiki da kyau a aikace-aikacen ainihin lokacin da yanke shawarar gaggawa ya zama dole, kamar a cikin mutummutumi da motoci masu tuƙi.
Ga wasu muhimman abubuwan da ya kamata a yi la’akari da su:
- Yayin da hankali na wucin gadi (AI) ya kasance yanki na gaba ɗaya wanda ya haɗa da fasaha iri-iri da dabarun gina injuna masu hankali, fasahar neuromorphic wani yanki ne na kayan lantarki wanda ke ƙoƙarin yin koyi da ayyukan kwakwalwar ɗan adam ta amfani da na'urori na musamman.
- A cikin ayyuka kamar fahimtar magana, gano hoto, da yanke shawara, waɗanda aka saba da su ga hankalin ɗan adam, an ƙirƙiri tsarin neuromorphic don yin tasiri sosai. A gefe guda kuma, ana iya amfani da tsarin AI don gudanar da ayyuka iri-iri waɗanda a al'adance ke buƙatar hankalin ɗan adam.
- Yayin da tsarin AI za a iya gina shi a kan nau'i-nau'i masu yawa, fasaha na neuromorphic yana amfani da ƙwayoyin wucin gadi da synapses waɗanda aka halicce su don yin aiki a cikin hanyar da ta dace da yadda ainihin ƙwayoyin cuta da synapses ke aiki.
- A cikin ayyuka kamar fahimtar magana, gano hoto, da yanke shawara, waɗanda aka saba danganta ga hankalin ɗan adam, an ƙirƙiri tsarin neuromorphic don yin tasiri sosai. A gefe guda kuma, ayyuka iri-iri waɗanda a al'adance ke buƙatar hankalin ɗan adam na iya ƙare ta tsarin AI.
- Ana iya amfani da fasaha na Neuromorphic don ƙirƙirar tsarin basira wanda ke da matukar tasiri da sassauƙa, yayin da AI za a iya amfani da shi don yin ayyukan da ke da wuya ko ba zai yiwu ba ga mutane su kammala shi kadai.
- Za a iya amfani da hankali na wucin gadi (AI) da fasahar neuromorphic don ƙirƙirar ƙaƙƙarfan tsarin tsarin fasaha waɗanda ke da ikon aiwatar da ayyuka iri-iri waɗanda galibi ke buƙatar hankalin ɗan adam.
Menene makomar fasahar neuromorphic da hankali na wucin gadi ke riƙe?
Hankali na wucin gadi (AI) da fasahar neuromorphic sune fannoni biyu masu ban sha'awa da sauri da haɓaka fannonin karatu da haɓakawa.
Ana tsammanin cewa fasahar neuromorphic za ta ci gaba a nan gaba, ta zama mafi inganci da ƙarfi.
Wannan na iya haifar da amfani da sabon labari don yanke shawara na ainihin lokaci da ƙarancin amfani da wutar lantarki a fagagen da suka haɗa da na'ura mai ba da hanya tsakanin hanyoyin sadarwa, motocin tuƙi, da sarrafa kansa na gida.
Bugu da ƙari, ana sa ran na'urori masu sarrafawa na neuromorphic za a yi amfani da su a cikin nau'ikan tsarin da aka haɗa da na'urorin IoT, ciki har da kyamarori da na'urori masu auna firikwensin, don nazarin bayanai a cikin gida da kuma sadarwa kawai bayanan da ake bukata zuwa ga girgije.
Deep learning, Ƙimar ƙarfafawa, da kuma bayanin AI sune sassa uku na bincike na AI da ake sa ran samun ci gaba cikin sauri a cikin shekaru masu zuwa. Waɗannan sabbin abubuwa za su sa tsarin AI ya fi ƙarfi, daidaici, kuma mafi fahimi.
Ana kuma sa ran yin amfani da AI zai ƙaru a sassa da yawa, gami da kiwon lafiya, banki, da dabaru. Ana iya amfani da AI, alal misali, don gano ma'amalar kuɗi na yaudara ta atomatik ko don bincika ɗimbin bayanan likita don taimakawa likitocin wajen yin ingantaccen bincike.
Hakanan ana sa ran AI zai taka muhimmiyar rawa wajen ƙirƙira da haɓaka fasahar taimako da suka haɗa da na'urorin hannu, kayan aikin fahimi, da mataimakan kama-da-wane.
Kammalawa
A ƙarshe, domin sashin AI ya kasance mai cikakken tasiri, kayan aikin neuromorphic sabon nau'in fasaha ne da ake buƙata.
Mafi kyawun zaɓi don shi ya bayyana shine na'urori masu sarrafawa na neuromorphic, kuma kamfanoni da yawa suna ƙoƙarin haɓaka wannan fasaha da kuma makomar kayan aikin fasaha na wucin gadi.
Da fatan, za a gudanar da ƙarin bincike na kasuwanci a wannan fanni, kuma neural network hardware zai kasance ba da daɗewa ba.
Duniya na iya canzawa a sakamakon haka, godiya ga masu haɓaka AI. Yayin da waɗannan yankuna ke ci gaba, za mu iya tsammanin ganin ƙarin ƙarfi da ci-gaba na tsarin da ke da ikon aiwatar da ayyuka iri-iri waɗanda a al'adance ke buƙatar basirar ɗan adam.
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