Sau nawa muke ganin "labarai daga nan gaba" a cikin kafofin watsa labaru, inda aka sanar da nasarorin da aka tsara na kimiyya don amfanin tattalin arzikin kasar? Sau da yawa a cikin sharhin irin waɗannan saƙonni da rahotanni za a iya samun shakku da kira don rubuta kawai game da abubuwan da suka faru a baya. Muna da ƙaramin bangaskiya ga tsare-tsare masu haske da ban sha'awa.
To, fannin bayanan gida ba shi da ma’ana a irin wannan wallafe-wallafen. Ba shi da wahala sosai don saduwa da sanarwar "su" na New Vasyukov.
Ina ba da shawarar gano makomar wani aikin fasaha wanda ya haifar da bazuwa ba kawai a Yammacin Turai ba, har ma ya kai ga kafofin watsa labaru na Rasha. Idan kun kunna wasan bingo bullshit, zan ba ku alamar kafin kata - graphene.
Yaushe da abin da aka yi alkawari
A cikin Maris na 2019, ya bazu ko'ina cikin kafofin watsa labarai na Ingilishi, galibi Birtaniyya. . Shugaba kuma wanda ya kafa Simon Thomas yayi magana da kyakkyawan fata game da gagarumin ci gaba a samar da graphene. A cewarsa. shekara, Cambridge farfesa Sir Colin Humphreys, Paragraf ya iya kafa barga fasaha tsari don samar da graphene a cikin nau'i na faifai tare da diamita na har zuwa 200 mm.
Dangane da shekaru da yawa na bincike da kuma shekarun da aka kashe wajen kafa tsarin fasaha, Simon ya yi alkawarin fara samar da na'urori na masana'antu ta hanyar amfani da graphene a cikin watanni biyu masu zuwa.
Me ya gabaci alkawari
Tabbas, irin waɗannan fasahohin da ba a saba gani ba ba za su iya fitowa daga cikin iska ba. Bayan haka, irin waɗannan Kattai kamar IBM, Intel, Samsung, da sauran ƙungiyoyi masu yawa suna aiki akan matsalar samar da graphene masana'antu. Yana da wuya cewa yana yiwuwa kuma ya zama dole don samun gaba gare su a cikin yanayin stealth. Don haka, muna iya samun alamun ayyukansu na baya.
A shekarar 2017 kamfanin £3m harda kudin gwamnati. Wadannan kudade an yi niyya ne don haɓaka samfura da haɓaka fasaha (bari in tunatar da ku cewa an kafa kamfanin a cikin 2015, kuma binciken da ya sanya matakin tallan ya dace da shi tun da farko).
A watan Mayu 2018 kamfanin kudi. A wannan karon girmansa ya kai fam miliyan 2,9, kuma a cikin masu zuba jari ba kamfanonin jari kawai ba ne, har ma da asusun kasuwanci na Cambridge. Yanzu ba batun inganta fasaha ba ne. Manufar zuba jarin shine bude wurin kera don fara samar da na'urori bisa graphene. Sun yi shirin farawa da manyan firikwensin filin maganadisu da sauran na'urori masu auna firikwensin da aka yi niyya don kasuwar jama'a.
Kusan shekara guda bayan haka, a cikin Maris 2019, akwai wata sanarwa cewa komai yana shirye kuma an kafa shi. A zahiri, a cikin 'yan watanni, na'urorin da ke tushen graphene za su fara samarwa da yawa, su shiga kasuwa, kuma sabon zamani zai fara. Wannan labari mai ƙarfi, tare da ƙayyadaddun lokaci (ko da yake m) an karɓi shi da kyau kuma ya isa ga mai karatunmu na gida.
Abin da ya faru da gaske kuma bai faru ba bayan tallan
Mai karatu mai basira zai iya hasashen abin da ya faru bayan irin wannan hayaniyar da hankalin kafofin watsa labarai. To, zan ba da sauran nuni. Sakin layi daga asusun zuba jari iri ɗaya, sun riga sun karɓi £ 12,8 miliyan a hannunsu. Duk da haka, wannan ya riga ya faru a cikin Yuli 2019, watanni 4 bayan tallan. A cikin wannan watan, farawa (har zuwa wane irin aiki za a iya kiran kamfani mai shekaru 4 farawa) ya kasance. £0,5 miliyan don ci gaban ci gaba.
Abin da bai faru a baya ba shi ne juyin juya halin da aka yi alkawari da kuma fara samar da yawan jama'a. 8 da rabi watanni sun riga sun wuce tun da alkawarin fara taro samar da kayayyakin a cikin wani 2-3 watanni lokaci, amma ayyana na'urori masu auna sigina da transducers (tare da hankali 30 sau sama da waɗanda aka yi amfani da) ba su shiga kasuwa.
Shafukan farko na 5 na binciken Google da shafin "Labarai" sun bayyana kawai maganganun farko masu ƙarfi game da shirye-shiryen fara samar da kayan aikin graphene na kasuwanci a cikin "'yan watanni masu zuwa" daga Maris 2019, da kuma labarai na Yuli. samun jarin £12,8m.
Ba shi yiwuwa a sami kowane bayani game da ainihin ƙaddamar da kowane samarwa ko samar da abubuwan haɗin gwiwa don masana'anta na ɓangare na uku. Bugu da ƙari, gidan yanar gizon kamfanin ya daina aiki, kodayake kafofin watsa labaru sun yi magana da shi a watan Satumba.
Halin halin yanzu
Kamfanin ya samu kudade tun daga shekarar 2017 na akalla fam miliyan 19,2 (Rulebi biliyan 1,6 a halin yanzu). A watan Satumba na 2019, ƙungiyar kamfanin ta haɗa da masu bincike 25 (a cikin Maris akwai 16), kuma, yin la'akari da kalmomin wanda ya kafa, har yanzu suna ci gaba da shirye-shiryen ƙaddamar da samar da na'urori masu auna firikwensin magnetic da sauran na'urori masu auna firikwensin. Sabbin labarai game da su yana ƙare a watan Satumba. yanzu ba ya aiki (sabuntawa. samun dama ta hanyar VPN).
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A halin yanzu, a wani wuri kuma suna tattara jari na gaba don batir juyin juya hali, madugu, na'urori masu auna firikwensin da , Muna ba ku rangwame akan wani abu da ya riga ya kawo canji. Na ɗauki sa'o'i da yawa don nazarin tushen da shirya kayan, har ma da ɗan sa'a; lokacin da labarai suka kama idona, na ajiye shi kuma na tuna da shi a daidai lokacin. Amma duk wannan ana iya yin shi ta na'ura a baya, wanda yawancin kungiyoyi da ƙungiyoyi masu nazari suka rigaya suka yi amfani da su. Shiga mu!
Littafin "»
A cikin zurfin mashahuran cibiyoyin sadarwar jama'a - Twitter, Facebook, LinkedIn da Instagram - wadatattun bayanai suna ɓoye. A cikin wannan littafi, masu bincike, manazarta, da masu haɓakawa za su koyi yadda ake fitar da wannan musamman bayanai ta amfani da lambar Python, Jupyter Notebook, ko kwantena Docker. Na farko, za ku saba da ayyukan shahararrun hanyoyin sadarwar zamantakewa (Twitter, Facebook, LinkedIn, Instagram), shafukan yanar gizo, shafukan yanar gizo da ciyarwa, imel, da GitHub. Sannan fara nazarin bayanan ta amfani da Twitter a matsayin misali.
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Littafin "»
Gudanar da Harshen Halitta (NLP) aiki ne mai matuƙar mahimmanci a fagen basirar ɗan adam. Nasarar aiwatarwa yana sa samfuran kamar Amazon's Alexa da Google Translate mai yiwuwa. Wannan littafi zai taimaka muku koyon PyTorch, ɗakin karatu mai zurfi don Python wanda shine ɗayan manyan kayan aikin masana kimiyyar bayanai da masu haɓaka software na NLP. Deleep Rao da Brian McMahan suna gabatar muku da NLP da zurfin ilmantarwa algorithms. Kuma za su nuna yadda PyTorch ke ba ku damar aiwatar da aikace-aikacen da ke amfani da nazarin rubutu.
» Kuna iya karanta littafin daki-daki
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Bayan biyan nau'in takarda na littafin, za a aika da littafin lantarki ta imel.
source: www.habr.com