Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

RHyME paves the way for robots to learn multiple-step sequences while significantly lowering the amount of robot data needed for training, the researchers said. RHyME requires just 30 minutes of robot ...

In today’s data-driven world, efficient data retrieval has become critical for organizations striving to maintain a competitive edge. Slow retrieval processes and high operational costs are common ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

Discover Microsoft's revolutionary glass data storage technology, designed to preserve digital information for up to 10,000 years. This video explains how Project Silica uses advanced laser data ...

For a Summer Undergraduate Research Fellowship project, Carnegie Mellon University sophomore Jasmine Li worked with robotic arms in the Robotic Caregiving and Human Interaction Lab to analyze the ...

ITHACA, N.Y. – Cornell University researchers have developed a new robotic framework powered by artificial intelligence – called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution) – ...