Momentum for Puerto Rico's Edge AI is real
Big congratulations to Dr. Wilfredo Lugo-Beauchamp on receiving a National Science Foundation (NSF) equipment award (#2523647) that strengthens embedded computing education at the University of Puerto Rico–Mayagüez (UPRM). National Science Foundation
At Capicú, we’re proud to support efforts like this—because great edge systems are built by people who learn by building. When students get real hardware in their hands early, the leap from “concept” to “deployment-ready” gets dramatically shorter.
What this NSF award unlocks
This project—titled “Equipment: Strengthening Instrumentation Education”—brings hands-on embedded computing to scale in UPRM’s curriculum. The award supports $185,175 in equipment and teaching infrastructure, including 450 Raspberry Pi 5 kits and 450 sensor kits, enabling students to build and test directly on resource-constrained devices.
UPRM’s goal is to expand practical learning across courses like:
- Computer architecture
- Operating systems
- Hardware design for AI applications—so students can prototype systems that process data on small devices, rather than relying on constant cloud connectivity.
Just as importantly, the plan emphasizes accessibility at scale—so more students can get repeatable, hands-on repsthat mirror how embedded products are actually built, debugged, and validated.
Why this matters for Edge AI
Edge AI isn’t just “AI, but smaller.” It’s a different way of thinking:
- Tight compute and memory budgets
- Noisy sensors and messy real-world signals
- Intermittent connectivity
- Hard constraints on power, latency, and reliability
And that’s why embedded education matters so much. To build systems that work in the real world, you have to train on the same class of constraints you’ll face in deployment.
Dr. Lugo-Beauchamp’s own focus areas—Edge Computing, Edge ML, Computer Vision, Data Science, and Virtual Machines—map directly onto this new generation of “edge-first” engineering. We’re excited to see what students build when they have modern edge hardware + sensors from day one. As this initiative ramps, we’ll be cheering it on—and looking for ways to connect classroom building to real-world problem spaces across Puerto Rico.
Because critical innovation doesn’t only happen in big labs. Sometimes it starts with a kit, a sensor, and a student who finally has the tools to test ideas in the real world.
#MakingAIFitAnywhere