TU Delft · Department of Microelectronics
We design algorithms and hardware together to bring energy-efficient intelligence to the edge.
Lab of Efficient Machine Intelligence
Our research
Our work connects neuromorphic computing, signal processing and hardware design.
Learning-based models, calibration and digital predistortion for more efficient radio-frequency and mixed-signal systems.
Digital predistortion
Brain-inspired algorithms and accelerators that exploit temporal and spatial sparsity to reduce unnecessary computation.
Dynamic sparsity
Efficient visual perception, eye tracking and intelligent hardware for extended reality and wearable applications.
Event cameras
Energy-efficient speech processing, keyword spotting and radar-based activity recognition for embedded systems.
Speech processingLatest from the lab
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).
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…
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
Explore our work in efficient AI, circuits, systems and sensing.
Browse publicationsY. Wu, A. Li, C. Gao
GLOBECOM · AcceptedA. Li and C. Gao
IEEE JETCASS. Zhou, C. Gao, T. Delbruck, M. Verhelst, S.-C. Liu
Nature Communications
People behind the research
We are a team of researchers and students at TU Delft, working across machine learning, microelectronics and embedded systems.
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Explore MSc projects, research opportunities and collaborations.
