Graphs that are customized, stored locally, and able to change over time can enable faster and more accurate searching and digital assistants
Graphs that are customized, stored locally, and able to change over time can enable faster and more accurate searching and digital assistants
Kasikci presents a method to improve a program’s ability to use data in a straightforward, efficient way
Take a look at some of the exciting new projects that will help define the next evolution of sustainable power and energy.
Prof. Johanna Mathieu of EECS and Prof. Catherine Hausman of Public Policy are heading a new project to explore the social costs and benefits of battery energy storage on the electrical grid.
Harnessing heat flow at the nanoscale while suppressing thermal radiation from the LED enables a new approach to light-based cooling.
The post Running an LED in reverse could cool future computers appeared first on Michigan Engineering News.
PhD student Brandon Russell is awarded the Rackham International Student Fellowship for his research on magnetic fields in high-energy plasmas, which could help advance the development of clean energy and our understanding of energetic astrophysical phenomena.
“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”
Data gleaned from cameras and sensors increases predictive accuracy.
The post Teaching self-driving cars to predict pedestrian movement appeared first on Michigan Engineering News.
A diverse group of leaders in technology, research, policy, and industry assemble to drive development of a critical climate solution.
The post Global CO2 Initiative announces advisory board appeared first on Engineering Research News.
Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.
The post ‘Air traffic control’ for driverless cars could speed up deployment appeared first on Michigan Engineering News.