{"id":36249,"date":"2019-10-31T22:10:29","date_gmt":"2019-10-31T19:10:29","guid":{"rendered":"https:\/\/prohoster.info\/blog\/nejroset-v-stekle-ne-trebuet-elektropitaniya-raspoznayot-tsifry\/"},"modified":"2019-10-31T22:10:29","modified_gmt":"2019-10-31T19:10:29","slug":"nejroset-v-stekle-ne-trebuet-elektropitaniya-raspoznayot-tsifry","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/nejroset-v-stekle-ne-trebuet-elektropitaniya-raspoznayot-tsifry","title":{"rendered":"Re\u021bea neuronal\u0103 \u00een sticl\u0103. Nu necesit\u0103 alimentare electric\u0103, recunoa\u0219te cifrele","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"Re\u021bea
\n
\nTo\u021bi suntem familiariza\u021bi cu abilitatea re\u021belelor neuronale de a recunoa\u0219te textul de m\u00e2n\u0103. Bazele acestei tehnologii exist\u0103 de mul\u021bi ani, dar doar relativ recent, saltul \u00een domeniul puterii informatice \u0219i proces\u0103rii paralele a dat posibilitatea ca aceast\u0103 tehnologie s\u0103 devin\u0103 o solu\u021bie foarte practic\u0103. Cu toate acestea, aceast\u0103 solu\u021bie practic\u0103 va fi prezentat\u0103, \u00een esen\u021b\u0103, sub forma unui computer digital care modific\u0103 continuu bi\u021bii, exact a\u0219a cum se \u00eent\u00e2mpl\u0103 \u00een cazul oric\u0103rei alte programe. Dar \u00een cazul re\u021belei neuronale dezvoltate de cercet\u0103tori de la universit\u0103\u021bile Wisconsin, MIT \u0219i Columbia, lucrurile stau diferit. Ei au creat un panou de sticl\u0103, care nu necesit\u0103 surs\u0103 de alimentare, dar care este capabil s\u0103 recunoasc\u0103 cifrele scrise de m\u00e2n\u0103.<\/a><\/noindex>.
\n<\/a><\/noindex>
\nAceast\u0103 sticl\u0103 con\u021bine incluziuni plasate cu precizie, cum ar fi bule de aer, impurit\u0103\u021bi de grafen \u0219i altele materiale. C\u00e2nd lumina ajunge la sticl\u0103, se formeaz\u0103 modele complexe de und\u0103, rezult\u00e2nd c\u0103 \u00een una din zece zone lumina devine mai intens\u0103. Fiecare dintre aceste zone corespunde unui anumit num\u0103r. De exemplu, mai jos sunt dou\u0103 exemple care arat\u0103 cum se propag\u0103 lumina c\u00e2nd se recunoa\u0219te num\u0103rul \u201edoi\u201d.<\/p>\n

\"Re\u021bea
\n
\nCu un set de antrenament format din 5000 de imagini, re\u021beaua neuronal\u0103 poate recunoa\u0219te corect 79% din 1000 de imagini de intrare. Echipa crede c\u0103 ar putea \u00eembun\u0103t\u0103\u021bi rezultatul dac\u0103 ar reu\u0219i s\u0103 dep\u0103\u0219easc\u0103 restric\u021biile impuse de procesul de fabrica\u021bie a sticlei. Au \u00eenceput cu un design foarte limitat al dispozitivului pentru a ob\u021bine un prototip func\u021bional. \u00cen continuare, ei inten\u021bioneaz\u0103 s\u0103 continue explorarea diferitelor metode de \u00eembun\u0103t\u0103\u021bire a calit\u0103\u021bii recunoa\u0219terii, \u00een acela\u0219i timp, \u00eencerc\u00e2nd s\u0103 nu complice excesiv tehnologia, pentru a putea fi utilizat\u0103 ulterior \u00een produc\u021bie. Echipa are, de asemenea, planuri de a crea o re\u021bea neuronal\u0103 tridimensional\u0103 \u00een sticl\u0103.
\n
Sursa: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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