BRICCS Workshop
About Us
At the core of the BRICCS Lab’s research lies the co-design of neuromorphic hardware and advanced machine learning algorithms. Their work spans multiple layers of abstraction—from low-level device physics, such as memristor-based circuits and ASIC chip design, to high-level algorithm development for spiking computation. The lab has developed custom encoder architectures, temporal encoding schemes, and memristor crossbar systems that enable in-memory computing and highly parallel signal processing. These designs aim to replicate the brain’s efficiency and fault tolerance while achieving significant improvements in speed and power consumption over conventional computing architectures.
Beyond fundamental research, the BRICCS Lab applies its innovations to real-world communication and signal processing systems. Projects include the use of reservoir computing and neuromorphic approaches for wireless communications, such as MIMO-OFDM detection, as well as FPGA-based neuromorphic architectures for real-time temporal processing. By blending artificial intelligence, hardware engineering, and neuroscience principles, the BRICC Lab is charting a path toward next-generation computing platforms that are adaptive, efficient, and biologically inspired.
