It\u2019s International Day of Women and Girls in Science so we wanted to spotlight one of our pioneering women leading innovation and helping us pave the way \u2013 Emma Hemus, our machine learning engineer.<\/p>\n
Emma focuses on using deep learning to automate wind turbine inspections.<\/p>\n
\u201cPart of my role involves researching and implementing state-of-the-art object detection techniques to improve our image recognition capabilities, and establishing metrics to track their performance. I also help to manage our data processing platform that generates analytics and reports for customers. I enjoy my job because I am passionate about the renewable energy sector, and each day I get to apply my skills and contribute to a constantly growing and evolving industry.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
It\u2019s International Day of Women and Girls in Science so we wanted to spotlight one of our pioneering women leading innovation and helping us pave the way \u2013 Emma Hemus, our machine learning engineer.<\/p>\n","protected":false},"author":7,"featured_media":82554,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[1],"tags":[43,42,41,34,29],"class_list":["post-82553","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-ml","tag-womeninscience","tag-womeninstem","tag-ai","tag-renewableenergy"],"acf":[],"yoast_head":"\n