Bringing in-sensor intelligence in radiation detectors: a short review
M Carminati, S Di Giacomo, M Ronchi… - IEEE EUROCON …, 2023 - ieeexplore.ieee.org
Technological trends, challenges and solutions recently proposed in the literature to embed
intelligence, in particular machine learning, into solid-state sensors and radiation detectors …
intelligence, in particular machine learning, into solid-state sensors and radiation detectors …
Neural Networks Embedded in Wearable Devices: a Preliminary Digital vs. Analog Comparison
DM Crafa, S Di Giacomo, C Fiorini… - … on Metrology for …, 2023 - ieeexplore.ieee.org
A fully connected artificial neural network (NN) for color identification (with 125 neurons and
11 color classes with inputs from an RGB sensor) was developed to study the challenges of …
11 color classes with inputs from an RGB sensor) was developed to study the challenges of …
Towards Analog Neural Networks Integrated in Detectors Readout
S Di Giacomo, M Ronchi, M Carminati… - Annual Meeting of the …, 2023 - Springer
The conceptual design of a novel ASIC in 0.35 μm CMOS technology implementing in an
analog way an artificial neural network (ANN) with 64 inputs, 2 20-neuron hidden layers and …
analog way an artificial neural network (ANN) with 64 inputs, 2 20-neuron hidden layers and …