Engineer proposes deep learning system to speed drug development
A Mizzou Engineer has proposed a new deep learning system that would speed up drug development by more accurately predicting how drugs and proteins interact.
Team studies virtual reality platforms using new CAVE
The team attempted to develop a new software that can create large-scale virtual models in the CAVE on campus.
Mizzou Engineers to help NextGen Precision Health professionals process, analyze, protect big data
Mizzou Engineers will help NextGen Precision Health professionals analyze the large volumes of information coming from sophisticated MRI and other imaging equipment, as well as determining how best to store that information securely.
Team uses machine learning to train multiple drones to collaborate within a network
The team used machine learning to train drones to work together within a network to survey an area, track objects and transmit information back to a ground station.
A faster ‘code breaker’ to analyze human DNA
Mizzou researchers are developing a free, online resource that could help scientists accelerate their discoveries for various human diseases.
Undergraduates present brain research at Neuroscience 2021
Mizzou Engineering students joined neuroscientists from around the world last month to exchange ideas and new discoveries about the human brain.
Approximate computing remains vulnerable to attacks; Mizzou Engineers to present findings at IEEE DATE conference
Companies relying on faster, less precise computing to gain energy efficiency still need to be cautious against cyberattacks, Mizzou Engineers have found.
Team designs model to automatically detect shadows in aerial images
A Mizzou Engineering team has designed a physics-based model to automatically detect shadows in large-scale aerial images.
Mizzou Engineering hosts 14th CANSec Workshop
Cybersecurity experts from across the region convened at the 14th Central Area Networking and Security Workshop (CANSec) hosted by Mizzou Engineering.
Team develops method to automatically detect, identify trees
Mizzou Engineering students are developing innovative methods and software to automatically detect and identify tree species