{"id":1236,"date":"2017-06-01T13:01:34","date_gmt":"2017-06-01T10:01:34","guid":{"rendered":"https:\/\/imagga.com\/blog\/?p=1236"},"modified":"2019-06-06T15:55:53","modified_gmt":"2019-06-06T12:55:53","slug":"11-female-researchers-made-big-impact-artifical-intelligence","status":"publish","type":"post","link":"https:\/\/imagga.com\/blog\/11-female-researchers-made-big-impact-artifical-intelligence\/","title":{"rendered":"11 Female Researchers Who Made a Big Impact on Artificial Intelligence"},"content":{"rendered":"

What do you imagine when you hear about an \u2018artificial intelligence researcher\u2019?<\/span><\/p>\n

We bet that for most of us, the cliche image that comes to mind is a serious-looking professor with very thick rim glasses. But don\u2019t worry: your concepts are about to change. <\/span><\/p>\n

In the exciting field of AI and machine learning, women today have carved their rightful place through their astounding achievements. From Asia to the U.S., female researchers have made considerable contributions to advancements in artificial intelligence. <\/span><\/p>\n

Here are 11 of the most impressive women in AI today, and why their work has made a difference in the field. <\/span><\/p>\n

#1. Fei-Fei Li<\/span><\/h2>\n

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A name that certainly belongs to the list of outstanding women in AI is <\/span>Fei-Fei Li<\/span><\/a>. She is the Director of the <\/span>Stanford Artificial Intelligence Lab<\/span><\/a> and the <\/span>Stanford Vision Lab<\/span><\/a>. Fei-Fei Li got her Ph.D. from the California Institute of Technology. Currently, she is an <\/span>Associate Professor at<\/span> the Computer Science Department at Stanford University.<\/span><\/p>\n

Her most prominent work is in the field of computer vision. Fei-Fei Li is a part of scientific teams that have made <\/span>advancements in image recognition software<\/span><\/a>. Their experiments have taken image recognition beyond simple identification of objects in visuals – to recognizing scenes and generating descriptions of them in English. <\/span><\/p>\n

The team of researchers achieved this through working with neural networks, software programs that mimic the way the human brain operates. This allows AI to train itself into recognizing patterns without input from researchers. In the case of Fei-Fei Li\u2019s team, they used neural networks that could recognize what\u2019s in the images and could then condense this in language forms. \u00a0<\/span><\/p>\n