传统基于物理的天气预报方法甚至新的人工智能模型通常在两周之后可靠性会下降，微软声称通过机器学习解决了这一问题。
Old-school physics-based weather forecasting and even new AI models typically become less reliable beyond two weeks, a problem Microsoft claims to have solved using machine learning.
公司研究人员表示，他们找到了一种新的、具成本效益的方法，使两到六周前的天气预报更加准确，使农民和应急响应人员能够更有把握地提前规划。相关发现今日发表在《自然》期刊上，该工具现已开源。
Researchers with the company say they've found a new, cost-effective way to make more accurate weather forecasts two to six weeks in advance - allowing farmers and emergency responders to plan ahead with greater certainty. The findings were published today in the journal , and the tool is now open-source software.
微软加入谷歌、英伟达及其他正在开发天气预报人工智能工具的公司行列。与其创建一个全新的独立天气
Microsoft joins Google, Nvidia, and other companies developing AI tools for weather forecasting. Instead of creating a new standalone weather …