Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. A worm’s brain may be teeny tiny, but that small organ has ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

[Ramin Hasani] and colleague [Mathias Lechner] have been working with a new type of Artificial Neural Network called Liquid Neural Networks, and presented some of the exciting results at a recent ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. Ramin Hasani’s TEDx talk at MIT is one of the best examples. Hasani ...

In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space models with ...

Liquid Neural Networks could help us to achieve the next level of efficiency with AI/ML Many of us can agree that over the past few years AI/ML progress has been, well, rapid. Now, we’re given yet ...

Artificial intelligence (AI) is enabling drones to perform real-time analysis, mapping, and tracking of information from their cameras. Researchers from the Massachusetts Institute of Technology (MIT) ...

Forbes contributors publish independent expert analyses and insights. I am co-founder, MIT professor & director of MIT CSAIL. I work in AI. As the Director of the Computer Science and Artificial ...

Drones have a wide range of applications, but sending them into unfamiliar environments can be a challenge. Whether delivering a package, monitoring wildlife or conducting search and rescue missions, ...

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...

An AI neural network that continues to adapt its behavior when doing the work it was designed for, long after the training phase. The "liquid" in a liquid neural network (LNN) refers to flexibility ...