Culling ancient works from the Asia Society’s collection, Rina Banerjee, Howardena Pindell, and Byron Kim look to the past to challenge ideas of identity and authenticity.

袁雁城博士现任香港理工大学应用数学系助理教授。他的主要研究方向为连续优化，人工智能的数学基础及其在推荐系统、医疗健康、元宇宙等领域的应用。他的研究成果发表于Journal of Machine Learning Research, SIAM ...

Although a passion for learning may have brought them here, perhaps an even more critical aspect of their experience will be unlearning what they have been taught their whole lives and will ...

How successful leaders master the art of adaptability. In today’s rapidly evolving business landscape, the ability to rethink and adapt isn’t just helpful—it’s essential for survival. Yet ...

Here are some tips on how to navigate unlearning your mother’s relationship with food, Unlearning decades worth of unhealthy ...

But what if unlearning things that don’t serve us is as important as adding in new new habits when it comes to being better versions of ourselves? “There are some really simple, easy-to-follow ...

Machine unlearning (MU) is a concept that is likely more interesting to lawyers than to data scientists, as the latter typically focus on ...

Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...