BAIDU results indicate that in many real world contexts, simply scaling your training data set and models is likely to predictably improve the model’s accuracy. This predictable behavior may help ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.

Machine Learning (ML) has reached an inflection point – at least in terms of messaging. For my first article as part of the TIRIAS Research contributor group, I’ll take this space to level set on a ...

With support from the U.S. Department of Education, NCAM established a working group on access within the IMS Global Learning Consortium (IMS), which includes learning companies, educational ...