predicting future of batteries how chinese researchers use machine learning to

Today's technological treat centres around our pals in the East - Chinese researchers, who've been putting their noodles to use by brewing a predictive model for spotting failures in lithium metal anodes. Right, how stimulating! These brainboxes are using electrochemical fingerprints - think CSI: Battery Edition - from initial battery cycles to identify machines at risk of throwing a wobbly.

In essence, it's like predicting when your uncle is going to make an awkward comment at a family gathering based on previous results, only here they're trying to foresee rather disastrous energy storage mishaps.

Turns out it's the machine learning chaps who've made it all possible, demonstrating once again that artificial intelligence isn't just for taking over the world and making us humans redundant. Not quite yet, anyway.

This little breakthrough could be the ace-up-the-sleeve the renewable energy industry needs to keep those horrific reports on battery faults at bay, allowing us to happily carry on with our gadget-infused lives. Powerful stuff indeed! Read more here.