Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their framework, called Information Contrastive Learning (I-Con), shows that a variety of different…
AI is reshaping our world at an unprecedented pace, yet the path from research breakthroughs to industry-ready solutions doesn’t happen overnight. Turning technical innovations into practical tools takes more than cutting-edge algorithms. It also requires a clear understanding of industry…
In the news | Tech Community
In the news | MIT News
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones. Their paper "I-Con: A Unifying Framework for Representation Learning" was accepted to the International Conference on Learning Representations.
In the news | Tech Community
作者:谢幸 编者按:从“推荐系统”的责任性研究,到社会责任人工智能(Societal AI),微软亚洲研究院全球研究合伙人谢幸的研究常常跨越学科边界,在人文科学中寻找答案。在今年的世界读书日,谢幸带来了一份聚焦技术与人文相互启发的书单,帮助我们从更广阔的视角审视科技的发展及其对社会的影响。这些作品中,不乏先行者关于技术如何影响人类社会的深刻洞见,提醒我们在机器智能飞速发展的今天,保持敬畏之心与责任...
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