Artificial intelligence (AI) can distinguish a dog from a cat, but the billions of calculations needed to do so demand quite a lot of energy. The human brain can do the same thing while using only a small fraction of this energy. Could this phenomenon inspire us to develop more energy-efficient AI systems?

Our computational power has risen exponentially, enabling the widespread use of artificial intelligence, a technology that relies on processing huge amounts of data to recognize patterns.

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Researchers can currently test tens of thousands of potential catalysts a year but Facebook and Carniegie Mellon believe they can increase the number to millions, or even billions, of catalysts with the help of AI.

Electrocatalysts can be used to convert excess solar and wind power into other fuels, such as hydrogen and ethanol, that are easier to store. However, today’s electrocatalysts are rare and expensive, with platinum being a good example, and finding new ones hasn’t been easy as there are billions of ways that elements can be combined to make them.

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