People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like ...

Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative advances ...