Battery development is slow and costly, but AI can significantly speed up the process by enabling faster iteration and more efficient testing, as seen in reducing fast-charging technique identification time from 500 to 16 days.
AI has been successfully utilized in the pharma industry for years to cut R&D costs, and now there are incentives to apply the same approach in the battery and EV industry to drive innovation.
Chemix's AI algorithms enable the creation of custom batteries tailored to specific needs, like high-temperature resilience or material exclusions, showcasing the potential for personalized solutions.
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