Team devising methods to make computer chips more energy efficient, sustainable

A Mizzou Engineering team is devising a method to make computer chips designed to run deep neural networks (DNNs) not only reliable, but also energy efficient and sustainable.

Team to present work around spiking neural networks at DATE conference

A Mizzou Engineering research team led by Assistant Professor Khaza Anuarul Hoque will present two papers at the Design Automation and Test in Europe Conference and Exhibition (DATE), an A1-rated conference, in the area of hardware and electronic design automation (EDA), in Belgium this coming spring.

Team develops method to automatically detect, identify trees

Mizzou Engineering students are developing innovative methods and software to automatically detect and identify tree species