Welcome to course Scientific Tools for Embedded AI (STEAI). This course is designed to be a harmonization course, and aims to establish a common technical baseline across software modeling, numerical design, and hardware description.
It bridges the gap between high-level algorithm design and low-level hardware implementation, preparing students with the essential core tools required for advanced study in embedded AI and hardware acceleration.
Learning Outcomes: At the end of this course, students will be able to:
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Bridge software-level algorithms with low-level hardware implementation requirements.
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Convert theoretical models into fixed-point representations and quantify accuracy trade-offs.
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Write clean, synthesizable VHDL for basic digital components and domain-specific accelerators.
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Run automated testbenches and verify hardware correctness against software baselines.
- Enseignant: AL GHOUWAYEL Ali
- Enseignant: JABOUR Joseph