A recent study published in Nature details how a team from Princeton University has developed an AI model capable of predicting and preventing instabilities in plasma during fusion reactions. This breakthrough, leveraging deep reinforcement learning, is seen as a significant step towards harnessing nuclear fusion for clean energy production. Nuclear fusion, often referred to as the 'holy grail' of clean energy, promises to deliver vast amounts of energy without the pollution associated with current methods. However, opinions on the impact of AI on fusion technology are mixed, with some commentators urging caution and labeling the enthusiasm as hype.
Avoiding fusion plasma tearing instability with deep reinforcement learning - Nature #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics. https://t.co/nWm10TXQYm
AI doesn’t solve anything relevant with fusion. Ignore the hype. Scam Altman smh.
AI solves nuclear fusion puzzle for near-limitless clean energy https://t.co/OPTqmLswYg
"A team from Princeton U…figured out a way to use an AI model to predict & prevent instabilities with plasma during fusion reactions. Nuclear fusion has been hailed as the 'holy grail' of clean energy for its potential to produce vast amounts of energy…" https://t.co/sZM0dIlgnz
Nature research paper: Avoiding fusion plasma tearing instability with deep reinforcement learning https://t.co/6M60hzLoPX