{"id":1207,"date":"2026-10-07T05:30:38","date_gmt":"2026-10-06T20:30:38","guid":{"rendered":"https:\/\/itexplore.org\/jp\/columns\/ai-transforms-medicine-energy-space-infrastructure\/"},"modified":"2026-10-07T05:30:38","modified_gmt":"2026-10-06T20:30:38","slug":"ai-transforms-medicine-energy-space-infrastructure","status":"publish","type":"post","link":"https:\/\/itexplore.org\/jp\/columns\/ai-transforms-medicine-energy-space-infrastructure\/","title":{"rendered":"AI\u304c\u533b\u7642\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u3001\u5b87\u5b99\u30a4\u30f3\u30d5\u30e9\u3092\u5909\u9769\uff1a\u65b0\u85ac\u8a2d\u8a08\u304b\u3089\u6838\u878d\u5408\u5236\u5fa1\u3001\u5b87\u5b99\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u307e\u3067"},"content":{"rendered":"<p>\u672c\u65e5\u306e\u6ce8\u76eeAI\u30fb\u30c6\u30c3\u30af\u30cb\u30e5\u30fc\u30b9\u3092\u3001\u5c02\u9580\u7684\u306a\u5206\u6790\u3068\u5171\u306b\u304a\u5c4a\u3051\u3057\u307e\u3059\u3002<\/p>\n<div class=\"wp-block-vk-blocks-alert vk_alert alert alert-warning has-alert-icon\">\n<div class=\"vk_alert_icon\">\n<div class=\"vk_alert_icon_icon\"><i class=\"fa-solid fa-triangle-exclamation\" aria-hidden=\"true\"><\/i><\/div>\n<div class=\"vk_alert_icon_text\"><span>Warning<\/span><\/div>\n<\/div>\n<div class=\"vk_alert_content\">\n<p>\u3053\u306e\u8a18\u4e8b\u306fAI\u306b\u3088\u3063\u3066\u81ea\u52d5\u751f\u6210\u30fb\u5206\u6790\u3055\u308c\u305f\u3082\u306e\u3067\u3059\u3002AI\u306e\u6027\u8cea\u4e0a\u3001\u4e8b\u5b9f\u8aa4\u8a8d\u304c\u542b\u307e\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u91cd\u8981\u306a\u5224\u65ad\u3092\u4e0b\u3059\u969b\u306f\u5fc5\u305a\u30ea\u30f3\u30af\u5148\u306e\u4e00\u6b21\u30bd\u30fc\u30b9\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">AI\u304c\u65b0\u6297\u751f\u7269\u8cea\u3092\u30bc\u30ed\u304b\u3089\u8a2d\u8a08\uff1a\u30b9\u30fc\u30d1\u30fc\u30d0\u30af\u30c6\u30ea\u30a2\u3068\u306e\u6226\u3044\u3092\u52a0\u901f<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> AI Designs New Antibiotics from Scratch: Accelerating the Fight Against Superbugs<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p>\u5f93\u6765\u306e\u6297\u751f\u7269\u8cea\u767a\u898b\u30d7\u30ed\u30bb\u30b9\u306f\u3001\u6642\u9593\u3068\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308a\u3001\u5931\u6557\u306e\u78ba\u7387\u3082\u9ad8\u3044\u3068\u3044\u3046\u8ab2\u984c\u306b\u76f4\u9762\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u5bfe\u3057\u3001<strong>\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66<\/strong>\u3068<strong>\u30de\u30af\u30de\u30b9\u30bf\u30fc\u5927\u5b66<\/strong>\u306e\u7814\u7a76\u30c1\u30fc\u30e0\u306f\u3001<strong>SyntheMol-RL<\/strong>\u3068\u3044\u3046AI\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3057\u3001\u65b0\u3057\u3044\u6297\u751f\u7269\u8cea\u5019\u88dc\u5206\u5b50\u3092\u30bc\u30ed\u304b\u3089\u8a2d\u8a08\u3059\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u3053\u306eAI\u306f\u3001\u8010\u6027\u83cc\u306b\u5bfe\u3059\u308b\u6709\u52b9\u6027\u3068\u73fe\u5b9f\u7684\u306a\u5408\u6210\u53ef\u80fd\u6027\u3068\u3044\u3046\u4e8c\u3064\u306e\u8981\u7d20\u3092\u6700\u9069\u5316\u3057\u3066\u5206\u5b50\u3092\u8a2d\u8a08\u3057\u307e\u3059\u3002\u7406\u8ad6\u4e0a\u5f37\u529b\u3067\u3082\u88fd\u9020\u4e0d\u53ef\u80fd\u306a\u5316\u5408\u7269\u3092\u751f\u6210\u3059\u308b\u5f93\u6765\u306eAI\u30e2\u30c7\u30eb\u3068\u306f\u7570\u306a\u308a\u3001<strong>SyntheMol-RL<\/strong>\u306f\u5408\u6210\u306e\u5236\u7d04\u3092\u521d\u671f\u6bb5\u968e\u304b\u3089\u7d71\u5408\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30e2\u30c7\u30eb\u304c\u751f\u6210\u3057\u305f79\u5206\u5b50\u306e\u3046\u3061\u300113\u5206\u5b50\u304c<strong>\u9ec4\u8272\u30d6\u30c9\u30a6\u7403\u83cc\uff08Staphylococcus aureus\uff09<\/strong>\u306b\u5bfe\u3057\u3066\u9ad8\u3044\u6d3b\u6027\u3092\u793a\u3057\u3001\u7279\u306b<strong>\u30b7\u30f3\u30bb\u30b7\u30f3\uff08synthecin\uff09<\/strong>\u3068\u547c\u3070\u308c\u308b\u5316\u5408\u7269\u306f\u3001\u30de\u30a6\u30b9\u306e\u5275\u50b7\u30e2\u30c7\u30eb\u3067<strong>MRSA\uff08\u30e1\u30c1\u30b7\u30ea\u30f3\u8010\u6027\u9ec4\u8272\u30d6\u30c9\u30a6\u7403\u83cc\uff09<\/strong>\u611f\u67d3\u3092\u6291\u5236\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u307e\u3057\u305f\u3002 \u3053\u308c\u306f\u3001AI\u304c\u5b9f\u9a13\u7684\u691c\u8a3c\u306e\u5fc5\u8981\u6027\u3092\u6392\u9664\u3059\u308b\u3082\u306e\u3067\u306f\u306a\u304f\u3001\u5fc5\u8981\u306a\u8a66\u884c\u56de\u6570\u3092\u6e1b\u3089\u3057\u3001\u5019\u88dc\u306e\u8cea\u3092\u5411\u4e0a\u3055\u305b\u3001\u3053\u308c\u307e\u3067\u30a2\u30af\u30bb\u30b9\u3067\u304d\u306a\u304b\u3063\u305f\u5316\u5b66\u7a7a\u9593\u3092\u63a2\u7d22\u3059\u308b\u3053\u3068\u3067\u3001\u30d7\u30ed\u30bb\u30b9\u3092\u5927\u5e45\u306b\u52a0\u901f\u3055\u305b\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u85ac\u5264\u8010\u6027\u83cc\u306f\u5e74\u9593127\u4e07\u4eba\u4ee5\u4e0a\u306e\u6b7b\u8005\u3092\u51fa\u3057\u3066\u304a\u308a\u3001\u3053\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u306f\u65b0\u85ac\u3092\u3088\u308a\u8fc5\u901f\u306b\u767a\u898b\u3059\u308b\u3053\u3068\u304c\u4e0d\u53ef\u6b20\u3067\u3059\u3002<strong>SyntheMol-RL<\/strong>\u306f\u3001\u8a66\u884c\u932f\u8aa4\u306b\u983c\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u3088\u308a\u9ad8\u3044\u7cbe\u5ea6\u3067\u89e3\u6c7a\u7b56\u3092\u8a2d\u8a08\u3059\u308b\u65b0\u3057\u3044\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u3001\u30b9\u30fc\u30d1\u30fc\u30d0\u30af\u30c6\u30ea\u30a2\u3068\u306e\u6226\u3044\u306b\u304a\u3044\u3066\u91cd\u8981\u306a\u8ee2\u63db\u70b9\u3068\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/es.gizmodo.com\/encontrar-nuevos-antibioticos-se-ha-vuelto-cada-vez-mas-dificil-lento-un-sistema-de-inteligencia-artificial-acaba-de-cambiar-ese-proceso-disenando-moleculas-desde-cero-para-combatir-superbacterias-2000233919\" target=\"_blank\" rel=\"noopener\">Gizmodo en Espa\u00f1ol \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> AI system SyntheMol-RL designs new antibiotic molecules from scratch, optimizing for efficacy and synthetic feasibility, and has shown promise against MRSA, accelerating drug discovery against superbugs.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Mart\u00edn Nicol\u00e1s Parolari<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p>The traditional process of discovering new antibiotics is slow, costly, and prone to failure. Addressing this, a team of researchers from <strong>Stanford University<\/strong> and <strong>McMaster University<\/strong> has developed an AI system called <strong>SyntheMol-RL<\/strong>, which designs novel antibiotic candidate molecules from scratch.<\/p>\n<p>This AI optimizes for two critical factors: efficacy against resistant bacteria and realistic synthetic feasibility. Unlike previous AI models that might generate theoretically potent but unmanufacturable compounds, <strong>SyntheMol-RL<\/strong> integrates synthesis limitations from the outset.<\/p>\n<p>Out of 79 molecules generated by the model, 13 showed high activity against <strong>Staphylococcus aureus<\/strong>, a problematic bacterium in clinical settings. Notably, a compound named <strong>synthecin<\/strong> successfully inhibited <strong>MRSA (Methicillin-resistant Staphylococcus aureus)<\/strong> infections in a mouse wound model. This demonstrates that while AI doesn't eliminate the need for experimental testing, it significantly accelerates the process by reducing the number of necessary trials, improving candidate quality, and exploring previously inaccessible chemical spaces.<\/p>\n<p>Antimicrobial resistance causes over 1.27 million deaths annually, making the rapid discovery of new drugs imperative. <strong>SyntheMol-RL<\/strong> offers a new approach to designing solutions with greater precision from the beginning, rather than relying solely on trial and error, potentially marking a crucial turning point in the fight against superbugs.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">\u6838\u878d\u5408\u306e\u6700\u5927\u306e\u8ab2\u984c\uff1a\u30d7\u30e9\u30ba\u30de\u306e\u6df7\u6c8c\u3092AI\u3068\u30a8\u30af\u30b5\u30b9\u30b1\u30fc\u30eb\u30b9\u30d1\u30b3\u30f3\u300cFrontier\u300d\u304c\u89e3\u660e<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Nuclear Fusion's Biggest Hurdle: AI and Exascale Supercomputer 'Frontier' Decipher Plasma Chaos<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p>\u6838\u878d\u5408\u30a8\u30cd\u30eb\u30ae\u30fc\u306e\u6700\u5927\u306e\u969c\u5bb3\u306f\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u751f\u6210\u305d\u306e\u3082\u306e\u3067\u306f\u306a\u304f\u3001<strong>\u30d7\u30e9\u30ba\u30de<\/strong>\u306e\u4e88\u6e2c\u4e0d\u80fd\u306a\u6df7\u6c8c\u3068\u3057\u305f\u6319\u52d5\u3092\u5236\u5fa1\u3059\u308b\u3053\u3068\u306b\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u8ab2\u984c\u306b\u53d6\u308a\u7d44\u3080\u305f\u3081\u3001\u7c73\u56fd\u30a8\u30cd\u30eb\u30ae\u30fc\u7701\u5098\u4e0b\u306e<strong>\u30aa\u30fc\u30af\u30ea\u30c3\u30b8\u56fd\u7acb\u7814\u7a76\u6240\uff08ORNL\uff09<\/strong>\u306f\u3001\u30a8\u30af\u30b5\u30b9\u30b1\u30fc\u30eb\u30b9\u30fc\u30d1\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc<strong>Frontier<\/strong>\u3092\u6295\u5165\u3057\u307e\u3057\u305f\u3002<\/p>\n<p><strong>Frontier<\/strong>\u306f\u3001\u6bce\u79d21\u5146\u56de\u4ee5\u4e0a\u306e\u6f14\u7b97\u304c\u53ef\u80fd\u306a\u4e16\u754c\u3067\u6700\u3082\u5f37\u529b\u306a\u30de\u30b7\u30f3\u306e\u4e00\u3064\u3067\u3042\u308a\u3001\u305d\u306e\u8a08\u7b97\u80fd\u529b\u3068<strong>\u4eba\u5de5\u77e5\u80fd<\/strong>\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u30d7\u30e9\u30ba\u30de\u306e\u9ad8\u5ea6\u306a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u6570\u79d2\u3067\u6570\u5343\u56de\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u4ee5\u524d\u306f\u81a8\u5927\u306a\u8a08\u7b97\u6642\u9593\u3068\u8aa4\u5dee\u3092\u4f34\u3063\u3066\u3044\u305f\u30d7\u30e9\u30ba\u30de\u306e\u6319\u52d5\u4e88\u6e2c\u304c\u3001\u306f\u308b\u304b\u306b\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u3082\u306e\u3068\u306a\u308a\u3001\u4e88\u6e2c\u8aa4\u5dee\u309250%\u4ee5\u4e0a\u524a\u6e1b\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u30d7\u30e9\u30ba\u30de\u306e\u7406\u89e3\u306f\u3001\u6838\u878d\u5408\u7089\u3060\u3051\u3067\u306a\u304f\u3001\u8d85\u65b0\u661f\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3001\u592a\u967d\u30d5\u30ec\u30a2\u306e\u4e88\u6e2c\u3001\u5b87\u5b99\u653e\u5c04\u7dda\u3068\u5730\u7403\u78c1\u5834\u306e\u76f8\u4e92\u4f5c\u7528\u306e\u89e3\u660e\u306a\u3069\u3001\u3088\u308a\u5e83\u7bc4\u306a\u79d1\u5b66\u7684\u5fdc\u7528\u306b\u3082\u3064\u306a\u304c\u308a\u307e\u3059\u3002\u6838\u878d\u5408\u7089\u3067\u306f\u3001\u30d7\u30e9\u30ba\u30de\u30921\u51045000\u4e07\u5ea6\u3068\u3044\u3046\u6975\u3081\u3066\u9ad8\u3044\u6e29\u5ea6\u3067\u5b89\u5b9a\u3057\u3066\u7dad\u6301\u3059\u308b\u3053\u3068\u304c\u4e0d\u53ef\u6b20\u3067\u3042\u308a\u3001<strong>Frontier<\/strong>\u306f\u30d7\u30e9\u30ba\u30de\u306e\u4e71\u6d41\u3092\u4e88\u6e2c\u3057\u3001\u53cd\u5fdc\u304c\u4e0d\u5b89\u5b9a\u306b\u306a\u308b\u524d\u306b\u30b7\u30b9\u30c6\u30e0\u3092\u8abf\u6574\u3059\u308b\u80fd\u529b\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u9032\u6b69\u306f\u3001\u6838\u878d\u5408\u7814\u7a76\u306b\u304a\u3051\u308b\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3082\u306f\u3084\u554f\u984c\u306b\u53cd\u5fdc\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u305d\u308c\u3092\u7406\u89e3\u3057\u4e88\u6e2c\u3059\u308b\u3053\u3068\u3067\u3001\u6df7\u6c8c\u3092\u652f\u914d\u3059\u308b\u771f\u306e\u6a5f\u4f1a\u304c\u751f\u307e\u308c\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u6838\u878d\u5408\u30a8\u30cd\u30eb\u30ae\u30fc\u5b9f\u73fe\u306b\u5411\u3051\u305f\u91cd\u8981\u306a\u4e00\u6b69\u3067\u3042\u308a\u3001\u6280\u8853\u7684\u306a\u30d6\u30ec\u30fc\u30af\u30b9\u30eb\u30fc\u3067\u306f\u306a\u304f\u3001\u4e88\u6e2c\u80fd\u529b\u306e\u5411\u4e0a\u306b\u3088\u3063\u3066\u30b2\u30fc\u30e0\u30c1\u30a7\u30f3\u30b8\u304c\u8d77\u3053\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/es.gizmodo.com\/el-mayor-obstaculo-de-la-fusion-nuclear-no-era-generar-energia-era-entender-el-caos-del-plasma-y-eeuu-acaba-de-poner-un-superordenador-exaescala-intentar-resolverlo-2000233819\" target=\"_blank\" rel=\"noopener\">Gizmodo en Espa\u00f1ol \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> The Frontier exascale supercomputer, combined with AI, is revolutionizing nuclear fusion by accurately predicting and controlling chaotic plasma behavior, reducing prediction errors by over 50% and enabling a proactive approach to fusion stability.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Mart\u00edn Nicol\u00e1s Parolari<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p>The primary obstacle to nuclear fusion energy has not been generating energy itself, but rather controlling the unpredictable and chaotic behavior of <strong>plasma<\/strong>. To tackle this challenge, the <strong>Oak Ridge National Laboratory (ORNL)<\/strong>, under the U.S. Department of Energy, has deployed the exascale supercomputer <strong>Frontier<\/strong>.<\/p>\n<p><strong>Frontier<\/strong>, one of the world's most powerful machines capable of over a quintillion operations per second, combines its immense computational power with <strong>artificial intelligence<\/strong> to run thousands of advanced plasma simulations in seconds. This capability has transformed plasma behavior prediction, making it far more reliable than previous methods that required extensive calculation times and were prone to error, successfully reducing prediction errors by over 50%.<\/p>\n<p>Understanding plasma has broader scientific implications beyond fusion reactors, including simulating supernovas, predicting solar flares, and better comprehending the interaction between cosmic radiation and Earth's magnetic field. For fusion reactors, maintaining plasma stably at extremely high temperatures of around 150 million degrees Celsius is crucial, and <strong>Frontier<\/strong> provides the ability to anticipate plasma turbulence and adjust the system before reactions destabilize.<\/p>\n<p>This advancement signifies a paradigm shift in fusion research. Instead of merely reacting to problems, understanding and predicting them creates a genuine opportunity to master chaos. This is a critical step towards realizing fusion energy, indicating that the game is changing not through a technological breakthrough, but through enhanced predictive capabilities.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Google\u304cAI\u30c1\u30c3\u30d7\u3092\u5b87\u5b99\u3078\uff1a\u6b21\u4e16\u4ee3\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u306f\u5730\u7403\u5916\u306b\uff1f<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Google Sends AI 'Brain' to Space: Is the Next Data Center Off-Earth?<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>Google<\/strong>\u306f\u3001\u5c06\u6765\u306e\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u30a4\u30f3\u30d5\u30e9\u306e\u4e00\u90e8\u3092\u5730\u7403\u5916\u306b\u79fb\u884c\u3059\u308b\u3068\u3044\u3046\u91ce\u5fc3\u7684\u306a<strong>Project Suncatcher<\/strong>\u306e\u4e00\u74b0\u3068\u3057\u3066\u3001<strong>Tensor Processing Unit (TPU)<\/strong>\u30c1\u30c3\u30d7\u3092\u5730\u7403\u8ecc\u9053\u306b\u6253\u3061\u4e0a\u3052\u307e\u3057\u305f\u3002\u3053\u306e\u5b9f\u9a13\u306e\u76ee\u7684\u306f\u3001AI\u30c1\u30c3\u30d7\u304c\u5b87\u5b99\u306e\u904e\u9177\u306a\u74b0\u5883\uff08\u771f\u7a7a\u3001\u653e\u5c04\u7dda\u3001\u71b1\u5909\u5316\uff09\u306b\u8010\u3048\u3089\u308c\u308b\u304b\u3092\u691c\u8a3c\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n<p><strong>Planet<\/strong>\u3068\u5171\u540c\u3067\u69cb\u7bc9\u3055\u308c\u3001<strong>SpaceX Falcon 9<\/strong>\u30ed\u30b1\u30c3\u30c8\u3067\u6253\u3061\u4e0a\u3052\u3089\u308c\u305f\u6700\u521d\u306e\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u306f\u3001\u3059\u3067\u306b\u5730\u7403\u3068\u306e\u901a\u4fe1\u3092\u78ba\u7acb\u3057\u3001\u8a08\u753b\u901a\u308a\u306b\u6a5f\u80fd\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u78ba\u8a8d\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5b87\u5b99\u7a7a\u9593\u306f\u3001\u5730\u7403\u4e0a\u306e\u65bd\u8a2d\u3068\u6bd4\u8f03\u3057\u3066\u6700\u59278\u500d\u306e\u592a\u967d\u30a8\u30cd\u30eb\u30ae\u30fc\u3092\u307b\u307c\u7d99\u7d9a\u7684\u306b\u5229\u7528\u3067\u304d\u308b\u3068\u3044\u3046\u5927\u304d\u306a\u5229\u70b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<p><strong>Google<\/strong>\u306f\u3001\u5c06\u6765\u7684\u306b\u306f81\u57fa\u306e\u885b\u661f\u304b\u3089\u306a\u308b\u30b3\u30f3\u30b9\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u69cb\u60f3\u3057\u3066\u304a\u308a\u3001\u5404\u885b\u661f\u306b\u306f\u6570\u5341\u500b\u306e<strong>TPU<\/strong>\u304c\u642d\u8f09\u3055\u308c\u3001\u9ad8\u901f\u30ec\u30fc\u30b6\u30fc\u30ea\u30f3\u30af\u3067\u63a5\u7d9a\u3055\u308c\u3066\u5927\u898f\u6a21\u306a\u8a08\u7b97\u8ca0\u8377\u3092\u5206\u6563\u3059\u308b\u4e88\u5b9a\u3067\u3059\u3002\u6b21\u306e\u91cd\u8981\u306a\u30b9\u30c6\u30c3\u30d7\u306f2027\u5e74\u306b\u4e88\u5b9a\u3055\u308c\u3066\u304a\u308a\u30012\u57fa\u306e\u8a08\u7b97\u7528\u885b\u661f\u304c\u79fb\u52d5\u4e2d\u306b\u30ec\u30fc\u30b6\u30fc\u901a\u4fe1\u3092\u8a66\u307f\u307e\u3059\u3002<\/p>\n<p>\u3057\u304b\u3057\u3001\u3053\u306e\u30d3\u30b8\u30e7\u30f3\u3092\u5b9f\u73fe\u3059\u308b\u306b\u306f\u3001\u6253\u3061\u4e0a\u3052\u30b3\u30b9\u30c8\u3092\u5927\u5e45\u306b\u524a\u6e1b\u3057\uff082035\u5e74\u307e\u3067\u306b1kg\u3042\u305f\u308a\u7d04200\u30c9\u30eb\uff09\u3001<strong>Starship<\/strong>\u306e\u3088\u3046\u306a\u30ed\u30b1\u30c3\u30c8\u306e\u6253\u3061\u4e0a\u3052\u983b\u5ea6\u3092\u5287\u7684\u306b\u5897\u3084\u3059\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u5b9f\u9a13\u306f\u3001<strong>Google<\/strong>\u304cAI\u30a4\u30f3\u30d5\u30e9\u306e\u672a\u6765\u306b\u95a2\u3059\u308bSF\u306e\u3088\u3046\u306a\u30a2\u30a4\u30c7\u30a2\u3092\u7269\u7406\u7684\u306b\u691c\u8a3c\u3059\u308b\u610f\u6b32\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u304a\u308a\u3001\u5730\u7403\u5916\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u306e\u53ef\u80fd\u6027\u3092\u63a2\u308b\u91cd\u8981\u306a\u4e00\u6b69\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/es.gizmodo.com\/google-acaba-de-mandar-un-cerebro-de-ia-al-espacio-si-sobrevive-el-proximo-gran-centro-de-datos-podria-no-estar-en-la-tierra-2000262384\" target=\"_blank\" rel=\"noopener\">Gizmodo en Espa\u00f1ol \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Google's Project Suncatcher launched a TPU into orbit to test AI chip resilience in space, aiming for future orbital data centers powered by constant solar energy, despite significant challenges in launch costs and frequency.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Mart\u00edn Nicol\u00e1s Parolari<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Google<\/strong> has launched a <strong>Tensor Processing Unit (TPU)<\/strong> chip into Earth orbit as part of its ambitious <strong>Project Suncatcher<\/strong>, aiming to move a portion of future data center infrastructure off-planet. The experiment's goal is to verify if AI chips can withstand the harsh space environment, including vacuum, radiation, and thermal changes.<\/p>\n<p>The first prototype, built in collaboration with <strong>Planet<\/strong> and launched aboard a <strong>SpaceX Falcon 9<\/strong> rocket, has successfully established contact and is functioning as planned. Space offers significant advantages, such as access to near-constant solar energy, potentially up to eight times more than equivalent facilities on Earth.<\/p>\n<p><strong>Google<\/strong> envisions a future constellation of 81 satellites, each equipped with dozens of <strong>TPUs<\/strong>, connected by high-speed laser links to distribute large computational loads. The next critical step is planned for 2027, involving two computing satellites attempting laser communication while in motion.<\/p>\n<p>However, realizing this vision requires a substantial reduction in launch costs (to approximately $200\/kg by 2035) and a dramatic increase in the launch frequency of rockets like <strong>Starship<\/strong>. This experiment demonstrates Google's willingness to physically test futuristic ideas for AI infrastructure, marking a crucial step in exploring the potential for off-Earth data centers.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>AI\u304c\u6297\u751f\u7269\u8cea\u958b\u767a\u3001\u6838\u878d\u5408\u30d7\u30e9\u30ba\u30de\u5236\u5fa1\u3001\u5b87\u5b99\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u69cb\u7bc9\u3068\u3044\u3063\u305f\u6700\u5148\u7aef\u5206\u91ce\u3067\u753b\u671f\u7684\u306a\u9032\u6b69\u3092\u9042\u3052\u3066\u3044\u307e\u3059\u3002Google\u306eTPU\u5b87\u5b99\u5c55\u958b\u3001SyntheMol-RL\u306b\u3088\u308b\u65b0\u85ac\u8a2d\u8a08\u3001Frontier\u30b9\u30d1\u30b3\u30f3\u306b\u3088\u308b\u30d7\u30e9\u30ba\u30de\u4e88\u6e2c\u306a\u3069\u3001AI\u306e\u591a\u5c90\u306b\u308f\u305f\u308b\u5fdc\u7528\u3092\u6df1\u6398\u308a\u3057\u307e\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":856,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","_veu_custom_css":"","veu_display_promotion_alert":"","vkexunit_cta_each_option":"","_lightning_design_setting":[],"footnotes":""},"categories":[3],"tags":[8,75,400,366,635,152,272,157,634,225,15],"class_list":["post-1207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-columns","tag-ai","tag-google","tag-tpu","tag-366","tag-635","tag-272","tag-157","tag-634","tag-225"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/comments?post=1207"}],"version-history":[{"count":0,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1207\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media\/856"}],"wp:attachment":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media?parent=1207"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/categories?post=1207"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/tags?post=1207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}