Science

Researchers have developed a new odometry framework enabling quadruped robots to accurately estimate their pose and movement using only internal sensors and foot contact information.

Researchers have developed a powerful new model capable of generating, editing, and understanding complex audio narratives with unprecedented control and nuance.

Researchers are developing methods for control systems to learn and adapt to constantly changing conditions and unforeseen uncertainties in real-world applications.

A new framework empowers artificial intelligence to autonomously design and construct complex agent systems, surpassing the capabilities of current agent development kits.

Researchers are leveraging the power of large language models and real-world data to create more believable and scalable simulations of how people move and interact.

New research reveals that prioritizing equal-sized prediction sets-rather than uniform coverage-significantly improves fairness when using conformal prediction in real-world decision-making.

Researchers have developed a system that transforms student performance data into engaging narratives, offering a more human-centered way to understand learning progress.

A new framework empowers language models to autonomously identify and refine the most impactful features in tabular datasets, boosting machine learning performance.

New research details a method for generating exceptionally smooth toolpaths for parallel kinematic milling robots, enhancing accuracy and efficiency.

A new computational pipeline combining machine learning and molecular simulations rapidly identifies promising polymer electrolytes with enhanced ionic conductivity.