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Liquid Time Constant Networks: Precision Navigation without GPS | Tech talk with Favour Nerrise
Imagine flying through hostile airspace and your GPS signal goes dark. What guides you now? In this tech talk, Favour Nerrise, an AI/ML Resident at SandboxAQ and a PhD candidate at Stanford, unveils cutting-edge research on magnetic anomaly navigation (MagNav). Dig into the technical details of how quantum sensors, physics-informed machine learning, and nature-inspired AI models like liquid time-constant networks (LTCs) are creating jam-resistant, precise, and GPS-free navigation systems for aircraft and beyond.
Topics include:
-Why GPS isn’t always reliable
-How quantum sensors unlock new possibilities in navigation
-How biology-inspired neural networks help denoise complex signals
-Real-world results from the MIT + Air Force magnetic navigation challenge
This is a must-watch for anyone interested in quantum tech, AI, aerospace, or defense innovation.
Chapters:
00:28 - What is Quantum Sensing?
01:25 - Why Traditional GPS Falls Short
02:12 - Enter Magnetic Anomaly Navigation (MagNav)
03:45 - Why MagNav is Jam-Resistant
04:35 - Quantum Sensors for Long-Term, Covert Navigation
05:07 - A Brief History of MagNav Research
06:28 - The Challenge: Extracting True Signals from Noisy Aircraft Data
07:12 - MIT + Air Force Flight Experiment Overview
08:32 - Research Question: Modeling Complex Spatiotemporal Dynamics
09:01 - Using Reservoir Computing for Navigation AI
10:13 - Liquid Time Constant Networks Explained
11:23 - Neural Network Architecture Inspired by Worms
13:00 - Closed-Form vs ODE-Based Models
15:28 - Airborne Magnetic Compensation with LTC Networks
16:44 - Sensor Placement & Data Features
17:19 - Results: 64% Error Reduction vs Classical Baselines
18:14 - Visualizing Predictions vs Ground Truth
19:40 - Key Takeaways & Conclusions
20:13 - Future Work: Scientific ML, Geophysics, and Unsupervised Learning
You can check out the paper referenced in the video here: https://arxiv.org/pdf/2401.09631
Learn more about all of the other deep tech work happening at SandboxAQ in our publication library:
https://pub.sandboxaq.com/
#aq-nav #sandboxaq
Видео Liquid Time Constant Networks: Precision Navigation without GPS | Tech talk with Favour Nerrise канала SandboxAQ
Topics include:
-Why GPS isn’t always reliable
-How quantum sensors unlock new possibilities in navigation
-How biology-inspired neural networks help denoise complex signals
-Real-world results from the MIT + Air Force magnetic navigation challenge
This is a must-watch for anyone interested in quantum tech, AI, aerospace, or defense innovation.
Chapters:
00:28 - What is Quantum Sensing?
01:25 - Why Traditional GPS Falls Short
02:12 - Enter Magnetic Anomaly Navigation (MagNav)
03:45 - Why MagNav is Jam-Resistant
04:35 - Quantum Sensors for Long-Term, Covert Navigation
05:07 - A Brief History of MagNav Research
06:28 - The Challenge: Extracting True Signals from Noisy Aircraft Data
07:12 - MIT + Air Force Flight Experiment Overview
08:32 - Research Question: Modeling Complex Spatiotemporal Dynamics
09:01 - Using Reservoir Computing for Navigation AI
10:13 - Liquid Time Constant Networks Explained
11:23 - Neural Network Architecture Inspired by Worms
13:00 - Closed-Form vs ODE-Based Models
15:28 - Airborne Magnetic Compensation with LTC Networks
16:44 - Sensor Placement & Data Features
17:19 - Results: 64% Error Reduction vs Classical Baselines
18:14 - Visualizing Predictions vs Ground Truth
19:40 - Key Takeaways & Conclusions
20:13 - Future Work: Scientific ML, Geophysics, and Unsupervised Learning
You can check out the paper referenced in the video here: https://arxiv.org/pdf/2401.09631
Learn more about all of the other deep tech work happening at SandboxAQ in our publication library:
https://pub.sandboxaq.com/
#aq-nav #sandboxaq
Видео Liquid Time Constant Networks: Precision Navigation without GPS | Tech talk with Favour Nerrise канала SandboxAQ
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11 июня 2025 г. 6:49:40
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