331 citations · 476 across the 9 of their papers we have counts for
4 papers · 1 filter
IMAGINE: An 8-to-1b 22nm FD-SOI Compute-In-Memory CNN Accelerator With an End-to-End Analog Charge-Based 0.15-8POPS/W Macro Featuring Distribution-Aware Data Reshaping
Adrian Kneip, Martin Lefebvre, Pol Maistriaux +1
Charge-domain compute-in-memory (CIM) SRAMs have recently become an enticing compromise between computing efficiency and accuracy to process sub-8b convolutional neural networks (C…
MANTIS: A Mixed-Signal Near-Sensor Convolutional Imager SoC Using Charge-Domain 4b-Weighted 5-to-84-TOPS/W MAC Operations for Feature Extraction and Region-of-Interest Detection
Martin Lefebvre, David Bol
Recent advances in artificial intelligence have prompted the search for enhanced algorithms and hardware to support the deployment of machine learning at the edge. More specificall…
A nA-Range Area-Efficient Sub-100-ppm/°C Peaking Current Reference Using Forward Body Biasing in 0.11-m Bulk and 22-nm FD-SOI
Martin Lefebvre, David Bol
In recent years, the development of the Internet of Things (IoT) has prompted the search for nA-range current references that are simultaneously constrained to a small area and rob…
A 2.5-nA Area-Efficient Temperature-Independent 176-/82-ppm/°C CMOS-Only Current Reference in 0.11-m Bulk and 22-nm FD-SOI
Martin Lefebvre, David Bol
Internet-of-Things (IoT) applications require nW-power current references that are robust to process, voltage and temperature (PVT) variations, to maintain the performance of IoT s…