Robotic prosthesis control
Recurrent neural network control with the EdgeDRNN accelerator.
With AMBER Lab, Caltech Watch on YouTubeAlgorithms ↔ Hardware
Efficiency, by design.
We study neuromorphic algorithm–hardware co-design for energy-efficient edge intelligence. Our work bridges learning methods, sensing systems and the hardware that makes them practical.
Learning better signals.
AI for RF & mixed-signal systems
Learning-based models, calibration and digital predistortion for more efficient radio-frequency and mixed-signal systems.
Digital predistortionRF power amplifiersADC calibration
Compute only what changes.
Sparse neural computing
Brain-inspired algorithms and accelerators that exploit temporal and spatial sparsity to reduce unnecessary computation.
Dynamic sparsityNeuromorphic computingNeural accelerators
Perception at the edge.
Event-based vision & wearable intelligence
Efficient visual perception, eye tracking and intelligent hardware for extended reality and wearable applications.
Event camerasEye trackingExtended reality
Small devices. Useful intelligence.
Speech & intelligent sensing
Energy-efficient speech processing, keyword spotting and radar-based activity recognition for embedded systems.
Speech processingRadar sensingEmbedded intelligence
Open research
Built to be built on.
01 / Open-source framework
OpenDPD
An end-to-end learning and benchmarking framework for power amplifier modeling and digital predistortion.
Code · Datasets · Benchmarks02 / Research project
AIRHAR
Energy-efficient radar-based human activity recognition, connecting efficient models and embedded hardware.
Code · Models · Reproducible researchResearch in action
From idea to demonstration.
Spoken digit recognition
Real-time spoken digit recognition using EdgeDRNN.
Read the EdgeDRNN paper Watch on YouTubeNeuromorphic computing
Interfacing EdgeDRNN with a dynamic audio sensor.
Explore the silicon cochlea Watch on YouTubeResearch support
Shared ambition.
Our research is supported by public funding, industry collaborations and a community of academic partners.
Grants, sponsors & awards