DARPA: An Optimization-Based Approach to Breaking the Neural Code
DARPA: An Optimization-Based Approach to Breaking the Neural Code
Descriptions
A team of four University of Maryland researchers has been awarded a $1M, 18-month cooperative agreement by the Defense Advanced Research Projects Agency (DARPA) for “An Optimization-Based Approach to Breaking the Neural Code.” The project is part of DARPA’s
Boeing: Gallium Nitride (GaN) semiconductor-based modular power electronic solution for more electric aircraft
Boeing: Gallium Nitride (GaN) semiconductor-based modular power electronic solution for more electric aircraft
Descriptions
Associate Professor Alireza Khaligh’s (ECE/ISR) research group has received a new round of funding from The Boeing Company to develop an innovative Gallium Nitride (GaN) semiconductor-based modular power electronic solution for more electric aircraft. This project continues the collaboration between MPEL and Boeing, which has already yielded a Silicon Carbide-based RTRU that is 40 percent lighter and 8 percent more efficient than the current state of the art.