{"id":4233,"date":"2023-08-12T14:19:47","date_gmt":"2023-08-12T14:19:47","guid":{"rendered":"https:\/\/dailyai.com\/?p=4233"},"modified":"2023-08-17T17:26:18","modified_gmt":"2023-08-17T17:26:18","slug":"ibm-announces-brain-like-ai-chip-with-lower-power-demands","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/08\/ibm-announces-brain-like-ai-chip-with-lower-power-demands\/","title":{"rendered":"IBM annonce une puce d'IA semblable \u00e0 un cerveau et moins gourmande en \u00e9nergie"},"content":{"rendered":"

IBM a mis au point une puce bio-inspir\u00e9e susceptible de rendre l'IA plus \u00e9cologique et plus \u00e9conome en \u00e9nergie.\u00a0<\/b><\/p>\n

Alors que des mod\u00e8les d'IA surpuissants comme ChatGPT deviennent omnipr\u00e9sents dans la soci\u00e9t\u00e9, les grands rivaux technologiques tels que Google, Microsoft, Meta et des startups comme Anthropic et Inflection ont commenc\u00e9 \u00e0 accumuler d'\u00e9normes quantit\u00e9s de puissance informatique.\u00a0<\/span><\/p>\n

Le mat\u00e9riel n\u00e9cessaire \u00e0 l'apprentissage de l'IA est gourmand en \u00e9nergie, ce qui contribue \u00e0 l'augmentation d\u00e9j\u00e0 consid\u00e9rable de la consommation d'\u00e9nergie. <\/span>impact environnemental des centres de donn\u00e9es<\/span><\/a>.\u00a0<\/span><\/p>\n

Cela a d\u00e9clench\u00e9 des efforts de R&D pour construire des puces d'IA innovantes capables de supporter de lourdes charges de travail tout en consommant moins d'\u00e9nergie. Le dernier mod\u00e8le de Nvidia <\/span>Puce GH2000<\/span><\/a> a d\u00e9j\u00e0 atteint une efficacit\u00e9 \u00e9nerg\u00e9tique sup\u00e9rieure \u00e0 celle de ses pr\u00e9d\u00e9cesseurs, l'entreprise affirmant qu'elle rendra les centres de donn\u00e9es 12 fois moins chers et qu'elle utilisera 20 fois moins d'\u00e9nergie.\u00a0<\/span><\/p>\n

IBM <\/span>nouvelle puce analogique bio-inspir\u00e9e<\/span><\/a> s'inspire du cerveau biologique et sera efficace pour les charges de travail portables telles que les voitures, les t\u00e9l\u00e9phones et les appareils photo.\u00a0<\/span><\/p>\n

Thanos Vasilopoulos, scientifique au laboratoire de recherche d'IBM \u00e0 Zurich, <\/span>a d\u00e9clar\u00e9 \u00e0 la BBC<\/span><\/a>Compar\u00e9 aux ordinateurs traditionnels, le cerveau humain atteint des performances remarquables avec une consommation d'\u00e9nergie minimale.<\/span><\/p>\n

La plupart des puces existantes sont num\u00e9riques et utilisent le binaire (0 et 1) pour le stockage des donn\u00e9es. La nouvelle puce d'IBM se distingue par l'utilisation de composants analogiques appel\u00e9s memristors (r\u00e9sistances de m\u00e9moire), capables de stocker des valeurs num\u00e9riques variables. <\/span><\/p>\n

Cette nature analogique des memristors refl\u00e8te les fonctions synaptiques. Ce n'est pas la premi\u00e8re puce bio-inspir\u00e9e : une \u00e9quipe de recherche indienne a r\u00e9ussi \u00e0 mettre au point une puce bio-inspir\u00e9e. <\/span>con\u00e7u en 2022<\/span><\/a>.\u00a0<\/span><\/p>\n

Le professeur. Ferrante Neri, de l'universit\u00e9 du Surrey, a expliqu\u00e9 que \"les memristors interconnect\u00e9s peuvent cr\u00e9er un r\u00e9seau refl\u00e9tant un cerveau biologique\".\u00a0<\/span><\/p>\n

Bien qu'essentiellement analogique, la puce d'IBM conserve certains composants num\u00e9riques, ce qui garantit sa compatibilit\u00e9 avec les syst\u00e8mes d'IA actuels.\u00a0<\/span><\/p>\n

Ces puces l\u00e9g\u00e8res seraient particuli\u00e8rement utiles pour les gadgets, les v\u00e9hicules et le mat\u00e9riel IoT.\u00a0<\/span><\/p>\n

La nouvelle puce analogique d'IBM pour l'apprentissage profond<\/span><\/h2>\n

Les puces d'IBM r\u00e9duisent la consommation d'\u00e9nergie tout en offrant des performances impressionnantes dans un bo\u00eetier l\u00e9ger. <\/span><\/p>\n

Ces puces sont con\u00e7ues sur le mod\u00e8le du cerveau humain, qui consomme \u00e0 peu pr\u00e8s autant de watts qu'une ampoule \u00e9lectrique.<\/span><\/p>\n

En voici les points essentiels :<\/span><\/p>\n

    \n
  • Limites actuelles du mat\u00e9riel d'IA<\/b>: La plupart des architectures d'IA s\u00e9parent la m\u00e9moire des unit\u00e9s de traitement, ce qui signifie qu'elles doivent continuellement \u00e9changer des donn\u00e9es entre les deux, ce qui ralentit les calculs et compromet l'efficacit\u00e9 \u00e9nerg\u00e9tique.<\/span><\/li>\n
  • Puces analogiques<\/b>: Refl\u00e9tant les fonctions du cerveau humain, l'approche d'IBM utilise la m\u00e9moire \u00e0 changement de phase (PCM), qui enregistre son \u00e9tat sous la forme d'un spectre de valeurs plut\u00f4t que sous la forme de 0 et de 1. Cela r\u00e9duit le besoin de transmission de donn\u00e9es entre la m\u00e9moire et le processeur.<\/span><\/li>\n
  • La partie technique<\/b>: La conception d'IBM comprend 64 c\u0153urs de calcul analogiques en m\u00e9moire, chacun contenant un r\u00e9seau synaptique de 256 par 256. Chaque c\u0153ur peut calculer une couche de mod\u00e8le de r\u00e9seau neuronal profond (DNN). Une unit\u00e9 centrale de traitement num\u00e9rique sur la puce g\u00e8re d'autres op\u00e9rations complexes.<\/span><\/li>\n
  • Mesures de performance<\/b>: La puce a obtenu une excellente pr\u00e9cision de 92,81% lors d'un test de r\u00e9f\u00e9rence sur la vision par ordinateur (CV). Elle est plus de 15 fois plus efficace que plusieurs puces existantes.<\/span><\/li>\n<\/ul>\n

    Une fois affin\u00e9es, ces puces bio-inspir\u00e9es accompagneront les puces num\u00e9riques dans des architectures hybrides. Cela permettra d'obtenir des syst\u00e8mes d'intelligence artificielle l\u00e9gers et \u00e9conomes en \u00e9nergie, mais capables de g\u00e9rer des charges de travail importantes.\u00a0<\/span><\/p>\n

    \u00c0 terme, ces puces deviendront suffisamment l\u00e9g\u00e8res pour \u00eatre d\u00e9ploy\u00e9es dans des technologies autonomes intelligentes, ce qui pourrait donner naissance \u00e0 une nouvelle g\u00e9n\u00e9ration de robots qui marchent, parlent et interagissent avec leur environnement sans consommation d'\u00e9nergie excessive.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    IBM a mis au point une puce bio-inspir\u00e9e susceptible de rendre l'IA plus \u00e9cologique et plus \u00e9conome en \u00e9nergie. \u00c0 mesure que des mod\u00e8les d'IA surpuissants comme ChatGPT deviennent omnipr\u00e9sents dans la soci\u00e9t\u00e9, les grands rivaux technologiques tels que Google, Microsoft, Meta et des startups comme Anthropic et Inflection ont commenc\u00e9 \u00e0 accumuler de grandes quantit\u00e9s de puissance de calcul. Le mat\u00e9riel n\u00e9cessaire \u00e0 l'entra\u00eenement de l'IA est gourmand en \u00e9nergie, ce qui contribue \u00e0 l'impact environnemental d\u00e9j\u00e0 consid\u00e9rable des centres de donn\u00e9es. Cette situation a suscit\u00e9 des efforts de recherche et de d\u00e9veloppement pour cr\u00e9er des puces d'IA innovantes capables de supporter de lourdes charges de travail tout en consommant moins d'\u00e9nergie. La derni\u00e8re puce GH2000 de Nvidia a d\u00e9j\u00e0 atteint une plus grande efficacit\u00e9 \u00e9nerg\u00e9tique que ses pr\u00e9d\u00e9cesseurs.<\/p>","protected":false},"author":2,"featured_media":4234,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":["post-4233","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"\nIBM announces brain-like AI chip with lower power demands | DailyAI<\/title>\n<meta name=\"description\" content=\"IBM has developed a bio-inspired chip with the potential to make AI greener and more energy-efficient.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/fr\/2023\/08\/ibm-announces-brain-like-ai-chip-with-lower-power-demands\/\" \/>\n<meta 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