AI se Better Battery Tak: Microsoft ki Khoj
AI hamare kaam ko badal raha hai, email likhne se lekar software banane tak. Lekin ab, Microsoft Quantum team ne ek aur badi khoj ki hai – 32 million options ko check karke ek behtar battery dhoondha.
AI ka use karke, Microsoft ne naya material banaya hai jo behtar battery banane mein madad karega. Isse pahle, aise kisi bhi real-life example ka pata nahi chala tha, jo AI ke saath kiya gaya ho scientific discovery mein.
Microsoft ka manna hai ki rasayan aur materials science me full-scale quantum computers ke liye sabse accha scenario hai. Isiliye unhone Azure Quantum Elements ko banaya, jo AI, cloud computing, aur ant mein full-scale quantum computers ka use karke scientific discovery ko tez karne ke liye bana hai.
August mein, Microsoft ne dikhaaya ki unka AI model 32 million materials options ko check karke 500,000 stable options nikal paya. Lekin, inme se sahi material ko choose karna ek mushkil kaam hai. Isliye, Microsoft ne ek aur kadam uthaya aur Department of Energy ke Pacific Northwest National Laboratory ke saath milke, AI ka use karke ek naya material dhoondha, jo behtar batteries banane mein help karega.
Is collaboration ki badi baat ye hai ki unhone ek aisa material dhoondha hai jo hamare paas pehle se nahi tha, lekin jo behtar battery banane mein kaam aayega. Iske alawa, ye material kam lithium ka istemal karega, jo ki environment aur economy dono ke liye accha hai.
Solid-state batteries traditional batteries se jyada surakshit hote hain aur adhik energy store karte hain. Lithium kam matra mein milta hai, aur iske liye mining karna mushkil hai. Agar ek battery hai jo lagbhag 70% kam lithium ka istemal kare, toh ye bahut bada fayda hoga.
Ye collaboration sirf ek shuruaat hai. Microsoft ka manna hai ki AI ko har vaigyanik research ke liye istemal karna, aur is tarah se agle 250 varshon ke vaigyanik gyan ko agle 25 varshon mein ghata dega. Ye ek naya yug hai vaigyanik discovery ka, jise AI ne khola hai. #AIScience #MicrosoftQuantum #BatteryTechnology #AzureQuantum #ScientificDiscovery #ResourceEfficientBatteries
