At a young age, Finn has become one of the most recognized experts in the field of robotic learning.
She has developed some of the most effective methods to teach robots skills to control and manipulate objects.
degree is awarded in recognition of the recipient's qualifications as a general economist and of the ability to make scholarly contributions in fields of specialization. Below is an overview of the program requirements by year and other pertinent information.
degree, students pass through two major stages: The entire process takes approximately five to six years, although some students are able to complete the program in less time.
In her dissertation, Finn introduced a class of methods called model-agnostic meta-learning (MAML) methods, which don’t require computer scientists to manually design complex architectures.
Finn’s MAML methods have had tremendous impact on the field and have been widely adopted in reinforcement learning, computer vision and other fields of machine learning.
Edwin Mc Millan discovered the element neptunium in 1940.
Later, Glenn Seaborg continued Mc Millan’s studies on the transuranium elements and in 1942 he discovered plutonium, a highly radioactive element.
New York, NY, May 15, 2019 – ACM, the Association for Computing Machinery, today announced that Chelsea Finn receives the 2018 ACM Doctoral Dissertation Award for her dissertation, “Learning to Learn with Gradients.” In her thesis, Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small datasets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.
Deep learning has transformed the artificial intelligence field and has led to significant advances in areas including speech recognition, computer vision and robotics.