J. Raik

Carry-through checksum is proposed, a fundamentally new scheme for soft-error detection in CNN inference on embedded GPUs that embeds dedicated carry-through filters into the convolutional layers, which compute a checksum from the CNN's own operations and propagate it through inference, enabling end-to-end error detection with a single output verification.

ANTMAN achieves zero false positives and rapid detection of stealthy branch predictor attacks, redefining runtime security for RISC-V architectures.

Real-time gait analysis is now 4x faster thanks to a new LSTM accelerator that co-optimizes hardware and software.