5 papers
Gram-Space: Structure-Preserving Codebook Compression for Memory-Efficient Neuro-Symbolic AI
Weilun Wang, Wantong Li
Vector symbolic architectures (VSA) are widely used for reasoning in neuro-symbolic (NeSy) AI, yet high-dimensional codebooks often create severe memory bottlenecks that limit scal…
DarkFlow: Hierarchical Digital SiPM Architecture with Low-Loss Dataflow Readout for Dark Matter Detection
Zirui Wang, Aras Repond, Shawn Westerdale +1
Direct dark matter detection experiments require large-scale photon sensing arrays with hundreds of thousands of synchronized readout channels. Silicon photomultipliers (SiPMs) hav…
Overmind NSA: A Unified Neuro-Symbolic Computing Architecture with Approximate Nonlinear Activations and Preemptive Memory Bypass
Weilun Wang, Zirui Wang, Wantong Li
Neuro-symbolic AI is gaining traction in domains such as large language models, scientific discovery, and autonomous systems due to its ability to combine perception with structure…
Lightweight True In-Pixel Encryption with FeFET Enabled Pixel Design for Secure Imaging
Md Rahatul Islam Udoy, Diego Ferrer, Wantong Li +3
Ensuring end-to-end security in image sensors has become essential as visual data can be exposed through multiple stages of the imaging pipeline. Advanced protection requires encry…
Multi-Domain FeFET-Based Pixel for In-Sensor Multiply-and-Accumulate Operations
Md Rahatul Islam Udoy, Wantong Li, Kai Ni +1
This paper presents an FeFET-based active pixel sensor that performs in-sensor multiply-and-accumulate (MAC) operations by leveraging the multi-domain polarization states of ferroe…