Archives

If you are attending #ISVLSI2026 in Kolkata (India), do not miss Alessio Caviglia’s presentation of “SPIKER-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks” (July 8th, 2026 5:00 PM local time) The focus is on integrating the STSF local learning rule into the Spiker+ neuromorphic architecture, adding on-device training capabilities with […]

Back from an amazing IEEE IOLTS – IEEE International Symposium on On-Line Testing and Robust System Design 2026 in Polignano a Mare! Had a fantastic time presenting our work on InjectV and getting to know so many researchers in the testing and robust system design community. InjectV is a gem5-based fault injection framework for RISC-V […]

Two weeks in University of Waterloo at the Nengo Summer School I went there to learn about Neuromorphic Computing. I came back having learned something harder to put on a CV, though I’m still not sure what to call it. The project: gesture recognition with a spiking CNN, mapped to robot movements, with a continual […]

Event cameras see motion. Our labels often do not. Most automotive event-camera datasets still rely on bounding boxes inherited from frame-based pipelines. These annotations tell us where objects are, but not whether they are static or independently moving. This creates a mismatch between the sensor and the supervision signal. In our paper “GeoIMO: Geometry-Driven Independent […]

In this work, we introduce ATLAS (Advanced Trajectory Learning from multi-omics At Single-cell resolution), a Python package for trajectory inference from paired single-cell RNA-seq and ATAC-seq data. By integrating transcriptomic and chromatin accessibility information into a unified framework, ATLAS aims to better capture how cells transition between states and uncover regulatory programs that are difficult […]

New paper on cause-aware resilience for Split Computing. Another great piece of work from our group in collaboration with the CAD & Reliability Group @ PoliTO. The article “AI-Based Detection and Classification of Adversarial and Fault-Induced Threats in Split Computing,” published in the IEEE Transactions on Device and Materials Reliability, is now available on IEEE Xplore. […]

✨ NEW PRERINT ✨ PHYSIBENCH – A BENCHMARK SUITE OF INTRACELLULAR BOOLEAN MODEL VARIANTS AND MULTISCALE SIMULATIONS FOR COMPUTATIONAL BIOLOGY 📜 Preprint: https://arxiv.org/abs/2606.18215 🔗 GitHub repository: https://github.com/smilies-polito/PhysiBench Are you a researcher in computational biology or scientific machine learning in search of executable, reproducible, and diverse simulation benchmarks? Take a look at our #PhysiBench, a controlled […]

On June 10, 2026, the SMILIES research group took part in “DAUIN incontra le aziende: ricerca, innovazione, dottorato”, held at the Energy Center of the Politecnico di Torino. This interesting, intersectoral event was a great opportunity to #connect with companies, exchange ideas, and explore possible synergies around joint research projects, technology transfer, innovation pathways, and […]

Today I had the opportunity to present our poster at RISC-V Summit Europe 2026 (RISC-V International) and it’s been a genuinely memorable experience. 🙌 Our research focuses on cache timing side-channel attacks on RISC-V, leveraging the Zicbom extension to perform Flush+Reload attacks targeting RSA private key recovery. We simulate the full attack in gem5 in […]

Excited to be presenting at RISC-V Summit Europe 2026! Today I’m showcasing our poster on InjectV, a framework for simulating Fault Injection Attacks on RISC-V systems, showing how a guided approach requires 95.8% fewer injections than random exploration. 🎯 A huge thank you to my professors, Stefano Di Carlo, and Alessandro Savino for the support, […]