Abstract: We present a hardware-efficient accelerator for Spiking Neural Networks (SNNs) based on a generalized Strassen Matrix Multiplication (SMM) algorithm. By adapting the classical Strassen ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Abstract: For many scientific applications, dense matrix multiplication is one of the most important and computation intensive linear algebra operations. An efficient matrix multiplication on high ...
Quantum-inspired adaptive tiling for high-performance matrix multiplication. Uses WKB tunneling physics with the golden ratio to derive optimal tile sizes from real-time CPU state. 15%+ gains on ...
Basic transaction and user/alias query support (based on Cadair's python-appservice-framework) Basic room state storage Intent wrapper around the client API functions (design based on ...
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