普林斯顿大学的科学家开发了一种人工智能模型，可以提前 300 毫秒预测和避免核聚变中的等离子体不稳定性，有可能解决聚变能源开发的主要障碍。 Princeton scientists develop an AI model predicting and avoiding plasma instabilities in nuclear fusion, 300ms ahead, potentially solving a major obstacle in fusion energy development.
普林斯顿大学和普林斯顿等离子体物理实验室的科学家开发了一种人工智能模型，可以预测并避免核聚变中的等离子体不稳定性。 Scientists from Princeton University and the Princeton Plasma Physics Laboratory have developed an AI model that predicts and avoids plasma instabilities in nuclear fusion. 该模型根据过去的实验数据进行训练，可以提前 300 毫秒预测潜在的等离子体问题。 The model, trained on past experimental data, can forecast potential plasma issues 300 milliseconds ahead of time. 通过保持等离子体在强磁场中稳定，人工智能模型可以帮助解决开发聚变能的重大障碍，聚变能提供了几乎无限的清洁能源。 By keeping the plasma stable within strong magnetic fields, the AI model could help solve a significant obstacle in developing fusion energy, which offers a virtually limitless, clean energy source.