UW-Madison researchers created a sensor that processes early neural network layers inside each pixel using a P2M (processing-in-pixel-in-memory) design. This cuts energy use by 7.8× and memory by 25×, enabling efficient AI in small devices.
First Mamba Chiplet in GF 22nm
Engineers at UW-Madison have developed a cutting-edge Mamba chiplet using GlobalFoundries’ 22nm process. This breakthrough enhances hardware acceleration for state space models, significantly boosting energy efficiency and performance in sequential data tasks.
Advancing Silicon Qubits: A Leap Towards Scalable Quantum Computing
CHIPS faculty at UW–Madison lead quantum research—from advancing silicon qubits with improved stability and scalability, to engineering novel materials, to exploring photonic links for quantum systems—all aimed at building practical quantum tech.