Researchers are demonstrating a neurosymbolic system powered by Vector Symbolic Algebras that tackles complex abstract reasoning challenges, moving beyond the limitations of purely statistical models.
A new framework leverages machine learning to predict human intentions, enabling mobile robots to proactively assist and reduce operator cognitive load.
As artificial intelligence rapidly advances, a critical gap remains in its ability to support the nuanced insights of qualitative research.
A new review explores the principles of effective human-robot collaboration, focusing on how shared information unlocks more flexible and efficient teamwork.
This review explores how artificial intelligence is being leveraged to unlock the full potential of quantum communication and sensing technologies.
Researchers are using artificial intelligence to model the complex social interactions and foraging strategies of weakly electric fish, revealing surprising insights into their collective behavior.
A new framework shifts AI agent evaluation from technical metrics to real-world outcomes, focusing on adaptability and business impact.
New research explores how well artificial intelligence can discern the qualities that make a mathematical problem genuinely interesting, comparing its judgment to that of human mathematicians.
Researchers have developed a new framework enabling mobile robots to understand natural language instructions and visually perceive their environment to perform intricate object manipulation tasks.
A new framework accurately models the dynamics of robots combining rigid and flexible components, paving the way for more realistic control and learning.