IBM, MIT & Harvard Release Dataset & ML Models For Common Sense

Our work is directed to bridge this gap by proposing a dataset that probes core psychological reasoning concepts.
IBM, MIT and Harvard have released the DARPA “Common Sense AI” dataset at the ongoing 38th International Conference on Machine Learning (ICML). The researchers have released AGENT (Action, Goal, Efficiency, coNstraint, uTility), a benchmark for core psychology reasoning consisting of a large dataset (8,400 3D animations) and two machine learning models - BIPaCK and ToMnet-G. The research was aimed at accelerating the development of AI that manifests common sense. Commonsense reasoning--the ability to make acceptable and logical assumptions in our daily life--has long been a bottleneck in artificial intelligence and natural language processing. “Today’s machine learning models can have superhuman performance. It is still unclear if they understand basic principles that drive human reasoning. For machines to successfully be able to have social interaction like humans do among themselves, they need to develop the ability to understand hidden mental states of humans,” sa
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kumar Gandharv
Kumar Gandharv, PGD in English Journalism (IIMC, Delhi), is setting out on a journey as a tech Journalist at AIM. A keen observer of National and IR-related news.
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