Amidst surging computing demand and fluctuating conditions in European energy markets, energy efficiency has become an increasingly important factor in the economics of data center operations. Dr.

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...

Leveraging generative AI, WeRide GENESIS can rapidly generate highly realistic virtual worlds, building simulated cities ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

We study the contextual dueling bandit problem, where a learner uses contextual information to make two decisions and receives only relative (comparison) feedback. This problem is crucial in ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

Abstract: This paper addresses the challenge of enabling a mobile robot to reach target coordinates and posture in minimal time by tackling the complexities of kinematic optimal control problems.