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Global • 2026-10-31, 21:19 GMT • ~1 min read

China builds AI that can spot magnet failures in milliseconds

چین نے مقناطیس کی خرابی ملی سیکنڈوں میں پہچاننے والی اے آئی بنا لی

चीन ने मिलीसेकंड में चुंबक की खराबी पहचानने वाली एआई बनाई

China builds AI that can spot magnet failures in milliseconds

Key points

اہم نکات

मुख्य बातें

  • Researchers at the Chinese Academy of Sciences have built an artificial intelligence system that can tell a dangerous loss of superconductivity in a magnet from harmless magnetic interference within milliseconds.
  • The system, called AI-QDS, uses a neural network trained on years of past data.
  • In tests on a prototype magnet for a heavy-ion accelerator facility, it detected all three real quench events even though more than 1,000 interfering magnetic flux jumps occurred during the test.
  • چینی اکیڈمی آف سائنسز کے محققین نے ایک مصنوعی ذہانت کا نظام بنایا ہے جو مقناطیس میں سپر کنڈکٹیویٹی کے خطرناک نقصان اور بے ضرر مقناطیسی خلل میں ملی سیکنڈوں میں فرق کر سکتا ہے۔ اے آئی کیو ڈی ایس نامی یہ نظام برسوں کے پرانے ڈیٹا پر تربیت یافتہ نیورل نیٹ ورک استعمال کرتا ہے۔ ہیوی آئن ایکسلریٹر کی سہولت کے لیے ایک نمونہ مقناطیس پر جانچ میں اس نے تینوں اصل خرابیاں پہچان لیں، حالانکہ جانچ کے دوران 1,000 سے زیادہ خلل ڈالنے والے مقناطیسی جھٹکے آئے۔ سپر کنڈکٹر سائنس اینڈ ٹیکنالوجی میں شائع ہونے والا یہ کام ذرات کے ایکسلریٹرز اور فیوژن آلات میں استعمال ہونے والے بڑے سپر کنڈکٹنگ مقناطیسوں کو مہنگے نقصان سے بچانے میں مدد کر سکتا ہے۔
  • चीनी विज्ञान अकादमी के शोधकर्ताओं ने एक कृत्रिम बुद्धिमत्ता प्रणाली बनाई है जो चुंबक में सुपरकंडक्टिविटी के खतरनाक नुकसान और हानिरहित चुंबकीय हस्तक्षेप के बीच मिलीसेकंड में अंतर कर सकती है। एआई-क्यूडीएस नामक यह प्रणाली वर्षों के पुराने डेटा पर प्रशिक्षित न्यूरल नेटवर्क का उपयोग करती है। भारी-आयन त्वरक सुविधा के लिए एक प्रोटोटाइप चुंबक पर परीक्षण में इसने तीनों वास्तविक खराबियों का पता लगा लिया, हालांकि परीक्षण के दौरान 1,000 से अधिक हस्तक्षेपकारी चुंबकीय फ्लक्स जंप आए। सुपरकंडक्टर साइंस एंड टेक्नोलॉजी में प्रकाशित यह काम कण त्वरकों और संलयन उपकरणों में उपयोग होने वाले बड़े सुपरकंडक्टिंग चुंबकों को महंगे नुकसान से बचाने में मदद कर सकता है।

Researchers at the Chinese Academy of Sciences have built an artificial intelligence system that can tell a dangerous loss of superconductivity in a magnet from harmless magnetic interference within milliseconds. The system, called AI-QDS, uses a neural network trained on years of past data. In tests on a prototype magnet for a heavy-ion accelerator facility, it detected all three real quench events even though more than 1,000 interfering magnetic flux jumps occurred during the test. The work, published in Superconductor Science and Technology, could help protect the large superconducting magnets used in particle accelerators and fusion devices from costly damage.

چینی اکیڈمی آف سائنسز کے محققین نے ایک مصنوعی ذہانت کا نظام بنایا ہے جو مقناطیس میں سپر کنڈکٹیویٹی کے خطرناک نقصان اور بے ضرر مقناطیسی خلل میں ملی سیکنڈوں میں فرق کر سکتا ہے۔ اے آئی کیو ڈی ایس نامی یہ نظام برسوں کے پرانے ڈیٹا پر تربیت یافتہ نیورل نیٹ ورک استعمال کرتا ہے۔ ہیوی آئن ایکسلریٹر کی سہولت کے لیے ایک نمونہ مقناطیس پر جانچ میں اس نے تینوں اصل خرابیاں پہچان لیں، حالانکہ جانچ کے دوران 1,000 سے زیادہ خلل ڈالنے والے مقناطیسی جھٹکے آئے۔ سپر کنڈکٹر سائنس اینڈ ٹیکنالوجی میں شائع ہونے والا یہ کام ذرات کے ایکسلریٹرز اور فیوژن آلات میں استعمال ہونے والے بڑے سپر کنڈکٹنگ مقناطیسوں کو مہنگے نقصان سے بچانے میں مدد کر سکتا ہے۔

चीनी विज्ञान अकादमी के शोधकर्ताओं ने एक कृत्रिम बुद्धिमत्ता प्रणाली बनाई है जो चुंबक में सुपरकंडक्टिविटी के खतरनाक नुकसान और हानिरहित चुंबकीय हस्तक्षेप के बीच मिलीसेकंड में अंतर कर सकती है। एआई-क्यूडीएस नामक यह प्रणाली वर्षों के पुराने डेटा पर प्रशिक्षित न्यूरल नेटवर्क का उपयोग करती है। भारी-आयन त्वरक सुविधा के लिए एक प्रोटोटाइप चुंबक पर परीक्षण में इसने तीनों वास्तविक खराबियों का पता लगा लिया, हालांकि परीक्षण के दौरान 1,000 से अधिक हस्तक्षेपकारी चुंबकीय फ्लक्स जंप आए। सुपरकंडक्टर साइंस एंड टेक्नोलॉजी में प्रकाशित यह काम कण त्वरकों और संलयन उपकरणों में उपयोग होने वाले बड़े सुपरकंडक्टिंग चुंबकों को महंगे नुकसान से बचाने में मदद कर सकता है।

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