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Symbolic AI, Neuro-Symbolic AI, Agentic AI, Neural Networks for code vulnerability detection (Senanayake et al. 2024), SBOM tools, prompt vulnerability detectors, and static/dynamic analysis tools could
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within a Research Infrastructure? No Offer Description Neural networks are known to be universal approximants for any function in an arbitrary number of variables. This property has been exploited in
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collaborative IoT scenarios; ii) strategies for efficient and adaptive learning on-device or across a network of heterogeneous nodes while minimizing energy consumption and bandwidth usage; iii) investigating how
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of offers available1Company/InstituteFondazione Bruno KesslerCountryItalyGeofield Contact State/Province Trento City Trento Website https://www.fbk.eu/it/ Street Via Santa Croce 77 Postal Code 38122 STATUS
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methods, complemented by simulations of beta-decay chains relevant to post-fission energy release. Neural networks and other machine learning techniques will accelerate the discovery of radiation-resistant
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, networking and project writing tasks. Key responsibilities include: ● Development and implementation of advanced material synthesis and characterization methodologies; ● Contribution to the development
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applications between the cloud and the network edge. In 8RA, FBK is responsible for the project Cybersecurity & AI at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing