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CEO of Liquid AI Ramin Hasani Says a Worm is Changing the Future of AI
A new era of intelligent technology is here.
Today on Digital Disruption, we’re joined by Ramin Hasani, co-founder and CEO of Liquid AI and a machine learning Scientist.
Ramin Hasani is the co-founder and CEO of Liquid AI and a machine learning scientist at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL). Previously, he was a Principal AI & ML Scientist at Vanguard and a Research Affiliate at MIT. His work focuses on robust deep learning and decision-making in complex dynamical systems. He earned his Ph.D. in Computer Science from Vienna University of Technology, with his research on Liquid Neural Networks receiving global recognition with numerous nominations and awards such as TÜV Austria Dissertation Award nomination in 2020, and HPC Innovation Excellence Award in 2022. Ramin is also a frequent TEDx speaker.
Ramin sits down with Geoff to share his new and unique approach to AI, inspired by biological and physical systems that could redefine how businesses use machine learning.
Ramin shares insights from biology, specifically the neural structures of simple organisms that have led to the development of Liquid Neural Networks (LNNs). Unlike traditional neural networks, LNNs use differential equations to model dynamic decision-making processes, making them more adaptable for real-world applications. They discuss the advantages of these approaches and the scaling of these models. They also talk about the future of AI and how it may not just be about bigger models but smarter, biologically inspired intelligence capable of transforming how we interact with technology today and into the future.
In this episode:
0:00 Intro
0:38 The story of Liquid AI technology
6:13 Transparent worm vs. traditional neural networks
14:15 Liquid AI’s mission to build powerful AI systems
18:12 Liquid AI will help you to develop the best kind ofmodels
20:03 Compelling use cases
22:12 Agentic behavior
26:30 The most surprising use cases
29:35 This is a better learning system
32:01 Efficiency of liquid foundation models as opposed toGPT
35:33 Is this tech ready for the market?
38:30 The ‘white box’ philosophy and how it works with this model
43:07 Where do you see this technology in 3 to 5 years?
44:40 Trusted and understandable technology
46:00 The new platform for AI that replaces it all
48:40 Is there a quantum play here?
51:05 Passion turned to reality
54:20 Cracked the equation
55:40 The future of intelligence
Connect with Ramin:
Website: https://www.raminhasani.com/
LinkedIn: https://www.linkedin.com/in/raminhasani/
X: https://x.com/ramin_m_h
Visit our website: Information Technology Research & IT Advisory Company | Info-Tech Research Group
Follow us on YouTube: Info-Tech Research Group - YouTube
View all episodes
By Info-Tech Research GroupA new era of intelligent technology is here.
Today on Digital Disruption, we’re joined by Ramin Hasani, co-founder and CEO of Liquid AI and a machine learning Scientist.
Ramin Hasani is the co-founder and CEO of Liquid AI and a machine learning scientist at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL). Previously, he was a Principal AI & ML Scientist at Vanguard and a Research Affiliate at MIT. His work focuses on robust deep learning and decision-making in complex dynamical systems. He earned his Ph.D. in Computer Science from Vienna University of Technology, with his research on Liquid Neural Networks receiving global recognition with numerous nominations and awards such as TÜV Austria Dissertation Award nomination in 2020, and HPC Innovation Excellence Award in 2022. Ramin is also a frequent TEDx speaker.
Ramin sits down with Geoff to share his new and unique approach to AI, inspired by biological and physical systems that could redefine how businesses use machine learning.
Ramin shares insights from biology, specifically the neural structures of simple organisms that have led to the development of Liquid Neural Networks (LNNs). Unlike traditional neural networks, LNNs use differential equations to model dynamic decision-making processes, making them more adaptable for real-world applications. They discuss the advantages of these approaches and the scaling of these models. They also talk about the future of AI and how it may not just be about bigger models but smarter, biologically inspired intelligence capable of transforming how we interact with technology today and into the future.
In this episode:
0:00 Intro
0:38 The story of Liquid AI technology
6:13 Transparent worm vs. traditional neural networks
14:15 Liquid AI’s mission to build powerful AI systems
18:12 Liquid AI will help you to develop the best kind ofmodels
20:03 Compelling use cases
22:12 Agentic behavior
26:30 The most surprising use cases
29:35 This is a better learning system
32:01 Efficiency of liquid foundation models as opposed toGPT
35:33 Is this tech ready for the market?
38:30 The ‘white box’ philosophy and how it works with this model
43:07 Where do you see this technology in 3 to 5 years?
44:40 Trusted and understandable technology
46:00 The new platform for AI that replaces it all
48:40 Is there a quantum play here?
51:05 Passion turned to reality
54:20 Cracked the equation
55:40 The future of intelligence
Connect with Ramin:
Website: https://www.raminhasani.com/
LinkedIn: https://www.linkedin.com/in/raminhasani/
X: https://x.com/ramin_m_h
Visit our website: Information Technology Research & IT Advisory Company | Info-Tech Research Group
Follow us on YouTube: Info-Tech Research Group - YouTube