Associate Professor Yusuke Imoto at Kyoto University has developed iRECODE, a comprehensive computational method that removes ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

In the traditional two-step method, the homogenization group constants of the fuel assembly are calculated using the assumption of reflective boundary conditions. In the hybrid two-step method used in ...

New research led by EECS PhD Student Kaicheng Zhang has been featured in an news article, titled, "A Machine Learning Cooldown for the Data Center" by The Computation Institute (CI). The joint project ...

Building on previous data studying organoids derived from patients with neuropsychiatric disorders, this computational model can differentiate between signals ...