Monthly Archives: May 2026

Artificial intelligence and biological twins

โš•๏ธ ๐Ÿค– Yesterday, I attended the National Conference ๐— ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐—ถ๐—ป๐—ฎ ๐—ฑ๐—ถ ๐—ฝ๐—ฟ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป๐—ฒ ๐—ฒ ๐—ฝ๐—ฒ๐—ฟ๐˜€๐—ผ๐—ป๐—ฎ๐—น๐—ถ๐˜‡๐˜‡๐—ฎ๐˜๐—ฎ – ๐—”๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ and ๐—ฏ๐—ถ๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฐ๐—ฎ๐—น ๐˜๐˜„๐—ถ๐—ป in Turin, organized by the Fondazione Dยณ4Health, a great opportunity to reflect on how AI, computational models, and interdisciplinary research can support more targeted and personalized healthcare. It was special to share the experience with Elisabetta […]

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Digital technologies for smart agriculture: how IOT sensors and AI algorithms support animal welfare and livestock management

๐Ÿ„ ๐Ÿค– ๐™ณ๐™ธ๐™ถ๐™ธ๐šƒ๐™ฐ๐™ป ๐šƒ๐™ด๐™ฒ๐™ท๐™ฝ๐™พ๐™ป๐™พ๐™ถ๐™ธ๐™ด๐š‚ ๐™ต๐™พ๐š ๐š‚๐™ผ๐™ฐ๐š๐šƒ ๐™ฐ๐™ถ๐š๐™ธ๐™ฒ๐š„๐™ป๐šƒ๐š„๐š๐™ด: ๐™ท๐™พ๐š† ๐™ธ๐™พ๐šƒ ๐š‚๐™ด๐™ฝ๐š‚๐™พ๐š๐š‚ ๐™ฐ๐™ฝ๐™ณ ๐™ฐ๐™ธ ๐™ฐ๐™ป๐™ถ๐™พ๐š๐™ธ๐šƒ๐™ท๐™ผ๐š‚ ๐š‚๐š„๐™ฟ๐™ฟ๐™พ๐š๐šƒ ๐™ฐ๐™ฝ๐™ธ๐™ผ๐™ฐ๐™ป ๐š†๐™ด๐™ป๐™ต๐™ฐ๐š๐™ด ๐™ฐ๐™ฝ๐™ณ ๐™ป๐™ธ๐š…๐™ด๐š‚๐šƒ๐™พ๐™ฒ๐™บ ๐™ผ๐™ฐ๐™ฝ๐™ฐ๐™ถ๐™ด๐™ผ๐™ด๐™ฝ๐šƒ This week, I had the pleasure of speaking at the #BESOS_RP project event in Lombriasco (TO), dedicated to welfare and sustainability in Piedmontese cattle farming. What made the event especially meaningful was the audience: high-school students […]

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Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks

Spiker is starting to learn! ๐Ÿง  Our new paper “SPIKER-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks” is now on arXiv. The focus is the integration of the STSF local learning rule into the Spiker+ architecture, adding on-device training capabilities with minimal hardware overhead while remaining DSP-free and sub-millisecond. We […]

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Unraveling GI Cancer Heterogeneity Through Single-Cell Multi-Omics Approaches

๐™ด๐™ณ๐™ธ๐šƒ๐™พ๐š๐™ธ๐™ฐ๐™ป: ๐š„๐™ฝ๐š๐™ฐ๐š…๐™ด๐™ป๐™ธ๐™ฝ๐™ถ ๐™ถ๐™ธ ๐™ฒ๐™ฐ๐™ฝ๐™ฒ๐™ด๐š ๐™ท๐™ด๐šƒ๐™ด๐š๐™พ๐™ถ๐™ด๐™ฝ๐™ด๐™ธ๐šƒ๐šˆ ๐šƒ๐™ท๐š๐™พ๐š„๐™ถ๐™ท ๐š‚๐™ธ๐™ฝ๐™ถ๐™ป๐™ด-๐™ฒ๐™ด๐™ป๐™ป ๐™ผ๐š„๐™ป๐šƒ๐™ธ-๐™พ๐™ผ๐™ธ๐™ฒ๐š‚ ๐™ฐ๐™ฟ๐™ฟ๐š๐™พ๐™ฐ๐™ฒ๐™ท๐™ด๐š‚ Our Editorial for the Frontiers Research Topic Unraveling GI Cancer Heterogeneity Through Single-Cell Multi-Omics Approaches has been published in Frontiers in Genetics. ๐Ÿ“• Jansen RJ, Bardini R and Grassi E (2026) Editorial: Unraveling GI cancer heterogeneity through single-cell multi-omics approaches. Front. Genet. 17:1869790. doi: 10.3389/fgene.2026.1869790 Beyond […]

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NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework

Training spiking neural networks is hard โ€” and fairly comparing training algorithms under consistent conditions is even harder. ๐Ÿง  Our paper “NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework” addresses these challenges and is now available on arXiv! We surveyed the landscape of SNN training algorithms, organizing them along […]

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Presented today at #DDECS2026 in #Bratislava! ๐Ÿ‡ธ๐Ÿ‡ฐ

Presented today at #DDECS2026 in #Bratislava! ๐Ÿ‡ธ๐Ÿ‡ฐ I had the pleasure of sharing my last work, co-authored with Alessandro Savino and Stefano Di Carlo from SMILIES Polito Research Group (Politecnico di Torino): โ€œExperimental Analysis of #FreeRTOS Dependability through Targeted #FaultInjection Campaigns”. Thanks to the organizers for the opportunity, and to everyone who joined the session, […]

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Mercoledรฌ 20 maggio saremo a Lombriasco (TO) per l’esercitazione del progetto BESOS_RP!

๐Ÿ„ Mercoledรฌ 20 maggio saremo a Lombriasco (TO) per l'esercitazione del progetto BESOS_RP! Roberta Bardini presenterร  il contributo del gruppo SMILIES Polito Research Group (grazie a Lorenzo Martini, Alessia Leclercq e al nostro tesista Salar Farahmand) presso il DAUIN – Politecnico di Torino con l'intervento: ๐Ÿ“ก "Tecnologie digitali per l'agricoltura intelligente: come sensori IoT e […]

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