Can AI help crack the code of fusion power?

The dream is that fusion power would mean plenty of energy with no carbon emissions or risk of a nuclear meltdown.

Scientists have been pursuing fusion power for decades, and they are nowhere near adding it to the grid.

Last year, a panel of advisers to the US Department of Energy published a list of game-changers that could “Dramatically increase the rate of progress towards a fusion power plant.” The list included advanced algorithms, like artificial intelligence and machine learning.

It’s a strategy that TAE Technologies is banking on: the 20-year-old startup began collaborating with Google a few years ago to develop machine learning tools that it hopes will finally bring fusion within reach.

Attempts at fusion involve smacking lightweight particles into one another at temperatures high enough that they fuse together, producing a new element and releasing energy.

That’s why TAE is collaborating with Google, using a system called the Optometrist algorithm that helps the team home in on the ideal conditions for fusion.

We weren’t sure what to make of all the hype surrounding AI or machine learning or even fusion energy for that matter.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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