MIT scientists have developed Air-Guardian, a deep learning system designed to work in tandem with airplane pilots to enhance flight safety. Air-Guardian uses a…
Browsing: Liquid Neural Networks
Liquid neural networks (LNNs) are time-continuous recurrent neural networks with a dynamic architecture of neurons that are able to process time-series data while making…
Researchers from the Massachusetts Institute of Technology (MIT) have developed a new form of machine learning called liquid neural networks. These networks are easily…
Liquid neural networks are a novel type of deep learning architecture developed by researchers at the Computer Science and Artificial Intelligence Laboratory at MIT…
Daniela Rus, MIT CSAIL Director, has developed a new idea called Liquid Neural Networks which could help to solve some of AI’s complexity problems…
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a method for robust flight navigation agents to master vision-based fly-to-target tasks…
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a method for robust flight navigation agents to master vision-based fly-to-target tasks…
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new class of machine learning algorithms that can enable drones to…
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a method for robust flight navigation agents to master vision-based fly-to-target tasks…
Artificial Intelligence researchers have made a breakthrough with liquid neural networks, which are inspired by the nervous system of the tiny roundworm Caenorhabditis elegans.…