5 papers
Mitigating the Impact of Retention Loss on Inference Accuracy in 65 nm Single-Poly Floating-Gate Analog In-Memory Computing
Mirko Brazzini, Giulio Filippeschi, Alessandro Catania +2
We show with experiments and system-level simulations that it is possible to successfully mitigate the impact of retention loss on inference accuracy degradation by using both circ…
Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
Giulio Filippeschi, Mirko Brazzini, Cristhopher Mosquera +4
Silicon-based analog neural networks physically embody the ideal neural network model in an approximate way. We show that by retraining the neural network using a physics-informed…
In vivo validation of Wireless Power Transfer System for Magnetically Controlled Robotic Capsule Endoscopy
Alessandro Catania, Michele Bertozzi, Nikita J. Greenidge +9
This paper presents the in vivo validation of an inductive wireless power transfer (WPT) system integrated for the first time into a magnetically controlled robotic capsule endosco…
Temperature-Resilient Analog Neuromorphic Chip in Single-Polysilicon CMOS Technology
Tommaso Rizzo, Sebastiano Strangio, Alessandro Catania +1
In analog neuromorphic chips, designers can embed computing primitives in the intrinsic physical properties of devices and circuits, heavily reducing device count and energy consum…
12-bit Delta-Sigma ADC operating at a temperature of up to 250C in Standard 0.18 m SOI CMOS
Christian Sbrana, Alessandro Catania, Tommaso Toschi +2
Some applications require electronic systems to operate at extremely high temperature. Extending the operating temperature range of automotive-grade CMOS processes -- through the u…