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Background
Current battery management systems, such as those in electric vehicles, grid storage and consumer electronics, can only estimate bulk metrics like capacity and resistance, which miss key degradation mechanisms. While electrochemical impedance spectroscopy (EIS) provides detailed insight into battery health, it requires specialized hardware...
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Market Opportunity
In neural networks—especially in binary, sparse, or hardware-constrained settings—there's a limit to how many distinct patterns can be reliably stored and recalled. Traditionally, this capacity has been poorly understood or achieved only through random methods that often fall short of optimal use. Training and maintaining...
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