By Prof. Nuno Borges Carvalho and KeKe Wu

Real technological progress doesn’t happen in a vacuum. It happens when engineering rigor meets a clear societal need. Within the IEEE, Technical Activities (TA) have always worked to create the space where these ideas become reality. This is the core mission of the HART Initiative “AI-Augmented Hardware Technologies and Systems”: reconnecting the AI revolution with its physical foundations.
Why HART?
We are currently seeing a massive disconnect in the industry. While AI algorithms and software are advancing rapidly, their success ultimately depends on physical hardware, including processors, circuits, sensors, and energy-efficient systems. AI isn’t just abstract math; it is grounded in materials, electrons, and thermal limits. HART was created to ensure that hardware innovation doesn’t just “keep up,” but actively drives the next generation of intelligent applications.
A Two-Way Street: Hardware for AI and AI for Hardware
Our work focuses on two intertwined challenges:
· Optimizing Hardware for AI: We are rethinking how we build computing platforms, from massive data-center accelerators to tiny edge devices. This involves solving the “power-latency-cost” puzzle through new memory architectures, advanced packaging, and heterogeneous systems that integrate sensing and communication. We’re looking closely at neuromorphic computing, photonic solutions, and ultra-low-power designs that can withstand field conditions.
· Using AI to Build Better Hardware: On the other hand, machine learning is completely transforming how we design. AI-driven design flows and automated layout/verification are helping engineers explore “design spaces” that were once too complex to manage. This not only makes us more productive; it also results in more sustainable and higher-performing systems.
Turning Ideas into Silicon
HART isn’t just a theoretical group; it’s a community for students, entrepreneurs, and practitioners eager to bridge the gap between theory and real-world impact. We’re moving beyond white papers and into action through a few key pillars.
1. Design Competitions: We are launching a new IEEE competition focused on AI–hardware co-design to encourage hands-on experimentation.
2. The “Lab-in-a-Box”: Hardware innovation is notoriously expensive. We are developing curated, low-cost toolkits to make access easier, enabling researchers and makers anywhere in the world to prototype circuits and test ideas.
3. Fabrication Access: A major long-term goal is to build bridges between the IEEE community and IC foundries, lowering the barriers to affordable chip fabrication.
A Call for Community Contribution
Success in an initiative like this depends entirely on the strength of its community. We aren’t looking for a closed-loop group of experts; we need input from across the entire IEEE spectrum. Whether you are a veteran silicon engineer, an academic researcher, or a student experimenting with your first FPGA, your perspective is vital. We are actively looking for contributors to help shape our technical roadmaps, mentor competition teams, and share real-world data on hardware constraints. This is a collaborative effort, and the door is wide open for anyone who wants to help define how hardware and AI will live together in the coming decade.
The Bottom Line
Our goal is to make hardware and system design easier and more meaningful. Whether it’s autonomous robotics, satellite platforms, or quantum tech, HART is here to ensure that IEEE members aren’t just dreaming about the future of intelligent systems—they’re the ones building the physical systems that make it possible.

