Ramin Hasani
Ramin Hasani is the co-founder and CEO of Liquid AI, a company building efficient general-purpose foundation models, and a machine learning scientist at MIT's Computer Science and Artificial Intelligence Lab (CSAIL). He holds a Ph.D. in Computer Science from the Vienna University of Technology, where his research on Liquid Neural Networks received international recognition including an HPC Innovation Excellence Award in 2022. He is best known for developing biologically inspired neural network architectures based on differential equations that enable adaptable AI systems with small memory footprints suitable for edge deployment.
“"The third axis I would say is substrate. Where does this intelligence system go? AI is majorly getting hosted in data centers, but you could also bring intelligence on phones, on laptops, on airplanes, on cars."”
Source→“"We're building foundation models that are so cheap that you can bring them on Raspberry Pis. So you can host them on any kind of device that is on the planet."”
Source→“We are powering like in-car intelligence for Mercedes-Benz. Foundation models getting inside the car and making your car basically smarter.”
Source→“We're building foundation models that are so cheap that you can bring them on Raspberry Pis, for example. So you can host them on any kind of device that is on the planet.”
Source→“All foundation model companies from 2019, when pre-training started panning out, they started working on one axis, you know. The axis was maximizing intelligence at all costs. Now, we are at a place where we see that, look, efficiency is not an afterthought. Energy is not abundant.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.