Perception, Multimodal Learning, and Reasoning

Silicon Austria Labs (SAL) is Austria's top re­search center for Elec­tronics and Soft­ware Based Systems (ESBS). At three loca­tions (Graz, Villach, Linz), around 350 employees are working on future-oriented solu­tions for indus­trial produc­tion, health, energy, mobility, safety and more.
There are three research units conduct AI-related research and evaluations. Embedded AI (eAI, Linz) focuses on (1) Machine Learning and Enhanced Signal Processing, (2) Neuro­mor­phic archi­tec­tures and Chip Design, and (3) Realtime Embedded AI systems and Model Compression. Collaborative Perception and Learning (CPL, Graz) investigates (1) Model-based and Symbolic AI, (2) Federated Learning and Multi-agent Rein­force­ment Learning, and (3) Explain­able AI and Hier­ar­chical Models. Trustworthy & Adaptive Computing (TAC, Graz) studies (1) Model-based Diag­nosis and Reasoning (w.r.t. AI safety), (2) Effi­cient Trust­worthy Compu­ta­tion on the Edge, and (3) Resilience to Distur­bances, Uncer­tainty, and Drift/Novelty. At eAI, we cover research topics in a wide range, addressing perception from a variety of sensory signals and unstructured data (e.g., radar signals; RGB, infrared, ultrasound, and thermal imaging; audio, text, etc.) including multimodal fusion. We also leverage Large Language Models (LLMs) and Vision Language Models (VLMs) with chain-of-thought and reinforcement learning from human feedback (RLHF) for complex tasks.

We are happy to join a consortium with our extensive experiences on embedded AI and efficient computation, hardware-AI, and distributed learning.