Learning by Association: Smarter AI Through Human-Like Conditioning
New research explores how integrating principles of Pavlovian and instrumental learning can accelerate the development of more adaptable and efficient autonomous agents.
New research explores how integrating principles of Pavlovian and instrumental learning can accelerate the development of more adaptable and efficient autonomous agents.
A new system automatically synthesizes theories from vast amounts of scientific literature, revealing patterns and predictions beyond traditional knowledge.

A new approach combines the power of large language models with rapid, context-aware analysis to better detect and mitigate toxic behavior in live video chats.

New research reveals the challenges continuous attractor networks face in learning meaningful transitions, and how geometric constraints can limit their ability to represent complex environments.

A new system uses artificial intelligence to generate realistic user interactions, dramatically increasing the speed and scale of usability evaluations.

Researchers are leveraging subtle skin deformations on the back of the hand to dramatically improve the accuracy of hand tracking in first-person views.

Researchers have developed a new method for efficiently reconstructing and rendering dynamic urban environments from sparse data, enabling real-time visualization and applications like autonomous driving.

A new framework leverages table structure and synthetic queries to significantly improve the accuracy of data retrieval systems.

A new approach leverages reconfigurable intelligent surfaces to dramatically improve the performance of imaging-based surveillance systems at low altitudes.

A new hybrid architecture empowers on-device audio systems to intelligently offload complex queries to the cloud, boosting accuracy while preserving user privacy.