![chipfeature](https://engineering.missouri.edu/wp-content/uploads/2023/09/chipfeature.png)
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.
![binaryfeature](https://engineering.missouri.edu/wp-content/uploads/2023/01/binaryfeature.jpg)
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.
![AI predictions of trees.](https://engineering.missouri.edu/wp-content/uploads/2021/11/Datasets.jpg)
Team develops method to automatically detect, identify trees
Mizzou Engineering students are developing innovative methods and software to automatically detect and identify tree species