The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Neural Augmentation for Wireless Communication with Max Welling - #398
Aug 6, 2020
In this engaging conversation, Max Welling, Vice President of Technologies at Qualcomm Netherlands and Professor at the University of Amsterdam, delves into neural augmentation and its real-world applications. He discusses federated learning as a means to enhance data privacy for users, while exploring the exciting intersection of quantum mechanics and neural networks. Max also highlights innovative chip design approaches that merge traditional engineering with machine learning, showcasing the potential of these advancements in tackling complex challenges.
AI Snips
Chapters
Transcript
Episode notes
Quantum Mechanics as a Tool
- Max Welling suggests quantum mechanics is a mathematical tool for describing the world when microscopic details are unknown.
- This perspective is valuable for neural network research, potentially leading to hybrid classical-quantum systems.
Neural Augmentation
- Neural augmentation enhances existing algorithms with data-driven insights.
- This approach requires less data and generalizes better across domains.
Hybrid AI Systems
- Hybrid AI systems, combining neural networks and engineered solutions, offer flexibility.
- This approach allows tailoring solutions to specific data and use cases.