{"id":34491,"date":"2019-10-31T21:58:39","date_gmt":"2019-10-31T18:58:39","guid":{"rendered":"https:\/\/prohoster.info\/blog\/intel-rabotaet-nad-opticheskimi-chipami-dlya-bolee-effektivnogo-ii\/"},"modified":"2019-10-31T21:58:39","modified_gmt":"2019-10-31T18:58:39","slug":"intel-rabotaet-nad-opticheskimi-chipami-dlya-bolee-effektivnogo-ii","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/intel-rabotaet-nad-opticheskimi-chipami-dlya-bolee-effektivnogo-ii","title":{"rendered":"Intel po punon mbi \u00e7ipat optik\u00eb p\u00ebr nj\u00eb AI m\u00eb efikase","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Qarqet fotonike t\u00eb integruara, ose \u00e7ipat optik\u00eb, potencialisht ofrojn\u00eb nj\u00eb s\u00ebr\u00eb p\u00ebrpar\u00ebsish krahasuar me alternativat elektronike, si ulja e konsumit t\u00eb energjis\u00eb dhe reduktimi i vones\u00ebs n\u00eb llogaritje. P\u00ebr k\u00ebt\u00eb arsye, shum\u00eb studiues besojn\u00eb se ato mund t\u00eb jen\u00eb jasht\u00ebzakonisht efikase p\u00ebr detyrat e machine learning dhe zhvillimin e inteligjenc\u00ebs artificiale (AI). Edhe Intel sheh potencial t\u00eb madh p\u00ebr p\u00ebrdorimin e silicon photonics n\u00eb k\u00ebt\u00eb drejtim. Nj\u00eb grup studiuesish t\u00eb saj n\u00eb nj\u00eb artikull shkencor<\/a><\/noindex> p\u00ebrshkroi n\u00eb detaje metoda t\u00eb reja q\u00eb mund t\u2019i afrojn\u00eb rrjetet nervore optike nj\u00eb hap m\u00eb pran\u00eb realitetit.<\/p>\n

\"Intel<\/p>\n

N\u00eb nj\u00eb postim t\u00eb fundit n\u00eb blogun e Intel<\/a><\/noindex>, e cila flet p\u00ebr m\u00ebsimin e makinerive, tregon si kan\u00eb filluar hulumtimet n\u00eb fush\u00ebn e rrjeteve neuronale optike. Punimet shkencore t\u00eb David Miller (David A. B. Miller) dhe Michael Reck demonstruan se tipi i zinxhirit fotonik, i njohur si interferometri Mach-Zehnder (MZI), mund t\u00eb konfigurohet p\u00ebr t\u00eb kryer shum\u00ebzimin e matricave 2 × 2, dhe n\u00ebse vendoset MZI n\u00eb nj\u00eb rrjet triangular p\u00ebr shum\u00ebzimin e matricave m\u00eb t\u00eb m\u00ebdha, mund t\u00eb krijohet nj\u00eb skem\u00eb q\u00eb realizon algoritmin e shum\u00ebzimit t\u00eb matricave me nj\u00eb vektor \u2014 llogaritja kryesore e p\u00ebrdorur n\u00eb m\u00ebsimin e makinerive.<\/p>\n

Nj\u00eb studim i ri i Intel u p\u00ebrqendrua n\u00eb analizimin e asaj q\u00eb ndodh kur gjat\u00eb prodhimit shfaqen defekte t\u00eb ndryshme, ndaj t\u00eb cilave \u00e7ipat optik\u00eb jan\u00eb t\u00eb ndjesh\u00ebm (meq\u00eb fotonika kompjuterike \u00ebsht\u00eb nga natyra analoge), duke shkaktuar dallime n\u00eb sakt\u00ebsin\u00eb e llogaritjeve midis \u00e7ipave t\u00eb ndrysh\u00ebm t\u00eb t\u00eb nj\u00ebjtit lloj. Edhe pse studime t\u00eb ngjashme jan\u00eb kryer edhe m\u00eb par\u00eb, n\u00eb t\u00eb kaluar\u00ebn ato ishin m\u00eb shum\u00eb t\u00eb fokusuara te optimizimi pas prodhimit p\u00ebr t\u00eb korrigjuar pasakt\u00ebsit\u00eb e mundshme. Por kjo qasje ka shkall\u00ebzim t\u00eb dob\u00ebt, sepse rrjetet po b\u00ebhen gjithnj\u00eb e m\u00eb t\u00eb m\u00ebdha, gj\u00eb q\u00eb rrit fuqin\u00eb llogarit\u00ebse t\u00eb nevojshme p\u00ebr konfigurimin e rrjeteve optike. N\u00eb vend t\u00eb optimizimit pas prodhimit, Intel shqyrtoi mund\u00ebsin\u00eb e trajnimit nj\u00eb her\u00eb t\u00eb \u00e7ipave p\u00ebrpara prodhimit fal\u00eb p\u00ebrdorimit t\u00eb nj\u00eb arkitekture rezistente ndaj zhurm\u00ebs. Rrjeti optik nervor referenc\u00eb u trajnua nj\u00eb her\u00eb, pas s\u00eb cil\u00ebs parametrat e trajnimit u shp\u00ebrndan\u00eb n\u00eb disa versione t\u00eb prodhuara t\u00eb rrjetit me dallime n\u00eb komponent\u00ebt e tyre.<\/p>\n

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Ekipa e Intel shqyrtoi dy arkitektura p\u00ebr nd\u00ebrtimin e sistemeve t\u00eb inteligjenc\u00ebs artificiale bazuar n\u00eb MZI: GridNet dhe FFTNet. GridNet vendos MZI-n\u00eb n\u00eb m\u00ebnyr\u00eb parashikueshme n\u00eb nj\u00eb rrjet, nd\u00ebrsa FFTNet i vendos ato n\u00eb form\u00ebn e 'fluturave'. Pas trajnimet e t\u00eb dyjave n\u00eb modelimin e nj\u00eb detyre standard p\u00ebr njohjen e shifrave t\u00eb shkruara me dor\u00eb (MNIST), k\u00ebrkuesit zbuluan se GridNet arriti sakt\u00ebsi m\u00eb t\u00eb lart\u00eb krahasuar me FFTNet (98 % kundrejt 95 %), por arkitektura FFTNet ishte 'ndjesh\u00ebm m\u00eb e besueshme'. Faktikisht, performanca e GridNet ra n\u00ebn 50 % me shtimin e zhurm\u00ebs artificiale (pengesa q\u00eb imitojn\u00eb t\u00eb mundshmet defekte n\u00eb prodhimin e \u00e7ipave optik\u00eb), nd\u00ebrsa p\u00ebr FFTNet ajo mbeti pothuajse e q\u00ebndrueshme.<\/p>\n

Shkenc\u00ebtar\u00ebt pohojn\u00eb se k\u00ebrkimi i tyre hedh bazat p\u00ebr metoda t\u00eb trajnimit t\u00eb inteligjenc\u00ebs artificiale q\u00eb do t\u00eb ndihmojn\u00eb n\u00eb eliminimin e nevoj\u00ebs p\u00ebr rregullim t\u00eb im\u00ebt t\u00eb \u00e7ipave optik\u00eb pas prodhimit, duke kursyer koh\u00eb dhe burime t\u00eb vlefshme.<\/p>\n

\u2018Si\u00e7 ndodh me \u00e7do proces prodhimi, lindin disa defekte, t\u00eb cilat do t\u00eb thot\u00eb se do t\u00eb ket\u00eb ndryshime t\u00eb vogla nd\u00ebrmjet \u00e7ipave, dhe ato do t\u00eb ndikojn\u00eb n\u00eb sakt\u00ebsin\u00eb e llogaritjeve\u2019, shkruan Kazimir Wierzynski, drejtori i lart\u00eb i grupit t\u00eb produkteve Intel AI. \u2018N\u00ebse substancat neuronale optike do t\u00eb b\u00ebhen nj\u00eb pjes\u00eb e q\u00ebndrueshme e ekosistemit t\u00eb harduerit t\u00eb inteligjenc\u00ebs artificiale, ato do t\u00eb ken\u00eb nevoj\u00eb t\u00eb kalojn\u00eb n\u00eb \u00e7ipa m\u00eb t\u00eb m\u00ebdhenj dhe teknologji prodhimi industriale. Hulumtimet tona tregojn\u00eb se zgjedhja e arkitektur\u00ebs s\u00eb duhur paraprakisht mund t\u00eb rris\u00eb ndjesh\u00ebm probabilitetin q\u00eb \u00e7ipat e prodhuar t\u00eb arrijn\u00eb performanc\u00ebn e d\u00ebshiruar edhe n\u00eb prani t\u00eb variacionet e prodhimit.\u2019<\/p>\n

Nd\u00ebrkoh\u00eb, nd\u00ebrsa Intel kryesisht merret me k\u00ebrkime, Yichen Shen, kandidat i shkencave fiziko-matematikore nga Instituti i Teknologjis\u00eb i Massachusetts, themeloi startup-in Lightelligence me baz\u00eb n\u00eb Boston, i cili ka siguruar 10,7 milion\u00eb dollar\u00eb financim sip\u00ebrmarr\u00ebs dhe s\u00eb fundmi prezantoi<\/a><\/noindex> nj\u00eb prototip t\u00eb nj\u00eb \u00e7ipi optik p\u00ebr machine learning, i cili \u00ebsht\u00eb 100 her\u00eb m\u00eb i shpejt\u00eb se \u00e7ipat elektronik\u00eb modern\u00eb dhe gjithashtu ul konsumin e energjis\u00eb me nj\u00eb rend madh\u00ebsie, duke treguar edhe nj\u00eb her\u00eb qart\u00eb potencialin e teknologjive fotonike.<\/p>\n

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Burimi: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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