Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.

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

An international group of literacy education experts are calling on teachers and parents to adopt a new framework for ...

Humans can produce endlessly new sentences, but the mental structures that make this possible may be simpler than long assumed. New research suggests that language relies not only on complex ...

Every time we speak, we're improvising. "Humans possess a remarkable ability to talk about almost anything, sometimes putting words together into never-before-spoken or -written sentences," said ...

One of the lawmakers working on the Senate Banking Committee’s next iteration of crypto legislation doesn’t want to revisit a provision in earlier legislation prohibiting stablecoin issuers from ...

Background Despite increased awareness of diversity and inclusion in neurointerventional surgery, the representation of women in neurointerventional academic publishing has not been systematically ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Cybersecurity today faces a key challenge: It lacks context. Modern threats—advanced persistent threats (APTs), polymorphic malware, insider attacks—don’t follow static patterns. They hide in plain ...