构成大脑的细胞群是如何协作，让人体能运动、产生思想与感觉的呢？为了探寻这个问题的答案，Google 研究人员利用 ML 技术绘制了一些展现惊人细节的人类大脑图谱，从而对神经元如何形成网络来共享和处理信息有了新的见解，揭示了前所未有的发现。

How does the group of cells that form a brain work together to bring thoughts, movements, and feelings to life? To help answer this question, Google researchers are using ML to create some of the most detailed maps of brains ever made - unlocking new insights about how neurons network to share and process information, and revealing never-before-seen discoveries.

如果能绘制人类 DNA 基因图谱，疾病治疗水平将有望前进一大步。但多年来，全球只有一份完整的人类基因组图谱，还是基于科学家从美国少量志愿者身上采集的 DNA 样本绘制的。在全球积极改进这个单一线性基因组图谱的进程中，Google 研究人员开发了构建泛基因组图谱所需的新技术，为发掘世界各地人类祖先的遗传多样性提供了强大助力。

Mapping the genes in human DNA is critical for improving the treatment of disease, but for years, the only complete human genome was based on DNA samples scientists collected from a small handful of volunteers in the United States. Working as part of an international effort to improve upon this single linear genome, our researchers developed new technologies necessary for creating a pangenome - a record of the genetic diversity of ancestries from around the world.

天气和气候模式是在多种因素的复杂相互作用下形成的，比如洋流、风流、云、雨、太阳和地形。因此，要获得可靠的天气预报，需要很多台世界上最大的计算机进行数小时的计算。为了改变现状，Google 研究人员积极致力于利用 ML 技术在极短时间内提供更精准的天气预报。

Weather and climate patterns are the result of the complicated interactions of many factors - ocean and wind currents, clouds, rain, sun, and topography to name just a few - so it takes some of the world's largest computers many hours to make the weather predictions we all rely on. Google Researchers are using ML to achieve even better forecasts in just a fraction of the time.

这里是物种丰富的生态系统，还是空荡荡的森林？这个问题有时很难回答；但对于致力了解气候变化影响或保护措施效果的科学家来说，答案至关重要。我们的研究人员另辟蹊径，开发了能根据鸟鸣衡量和了解生物多样性的新工具。

Rich ecosystem or empty forest? Sometimes it's hard to tell, but getting an answer is critical for scientists working to understand the effects of climate change or the impact of conservation measures. Our researchers have created new tools to measure and understand biodiversity through birdsong.