01
AI for RF & mixed-signal systems
Learning-based models, calibration and digital predistortion for more efficient radio-frequency and mixed-signal systems.
Digital predistortionPhoto: OpenDPDv2 · Fig. 3TU Delft · Department of Microelectronics
Intelligence.
Made efficient.
We design algorithms and hardware together to bring energy-efficient intelligence to the edge.
Lab of Efficient Machine Intelligence
Delft, the NetherlandsAlgorithms ↔ Hardware
Inside EMI
Our research
From learning algorithms
to efficient silicon.
Our work connects neuromorphic computing, signal processing and hardware design.
02
Sparse neural computing
Brain-inspired algorithms and accelerators that exploit temporal and spatial sparsity to reduce unnecessary computation.
Dynamic sparsityPhoto: Spartus · Fig. 1003
Event-based vision & wearable intelligence
Efficient visual perception, eye tracking and intelligent hardware for extended reality and wearable applications.
Event camerasVideo: Q. Chen & C. Gao · 202304
Speech & intelligent sensing
Energy-efficient speech processing, keyword spotting and radar-based activity recognition for embedded systems.
Speech processingPhoto: DeltaKWS · Fig. 9(a)Latest from the lab
News & perspectives.
MSc Navya Agarwal’s Work Accepted at ICCAD 2026
Congratulations to EMI MSc student Navya Agarwal, whose internship research at imec has been accepted for presentation and publication at the 2026 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2026).
PhD Student Yi Zhu Published in IEEE JSTEAP
Excited to share that our article by our industrial PhD student Yi Zhu, “Deep-Learning Based Hardware-Efficient Load Identification for Power Amplifiers,” has been published in the IEEE Journal of Selected Topics in…
Yizhuo Wu won €100k NWO Open Mind Grant for EMI Lab
Very happy to share that our proposal, “The Living Radio Chip,” has been awarded a €100,000 NWO Open Mind Grant for a one-year, high-risk, high-gain research project.
Selected publications
Ideas worth
building on.
Explore our work in efficient AI, circuits, systems and sensing.
Browse publicationsOpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion
Y. Wu, A. Li, C. Gao
GLOBECOM · AcceptedBitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision
A. Li and C. Gao
IEEE JETCASExploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception
S. Zhou, C. Gao, T. Delbruck, M. Verhelst, S.-C. Liu
Nature Communications
People behind the research
Good science.
Shared curiosity.
We are a team of researchers and students at TU Delft, working across machine learning, microelectronics and embedded systems.
Get to know us
Supported by
Build with us
Curious about what comes next?
Explore MSc projects, research opportunities and collaborations.