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 name
The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail e
A few years ago, I got in the habit of asking researchers the titular question: Are universities doing enough to foster robotics startups? To a one, the answer was invariably, “no.” It was a massi
Robotics technology, currently a $45.5 billion global market, has had an enormous impact on countless industries, including agtech, automotive, healthcare, labor, warehousing and logistics. Thanks to
This is always a strange week — that liminal space between the Christmas holiday and New Year. Romjul — or “Dead Week” — as they call it in Norway (thanks Haje). It’s a time fo
James Cox spent much of his professional career at Uber trying to crack the problem of how to reduce congestion through ridesharing. As one of the architects of the Uber Pool service and a longtime pr
A system that uses a technique called constructive solid geometry (CSG) is allowing MIT researchers to deconstruct objects and turn them into 3D models, thereby allowing them to reverse-engineer compl
Daniela Rus’s morning is packed. My arrival appears to come as a bit of a surprise. She considers the situation for a moment before inviting me in. Rus has allowed me to sit in for a packed morning