Chimera combines kernelized attention approximations with symbolic fusion mechanisms to enable high-fidelity neuro-symbolic inference inside commodity programmable switches.
Linearization weight compression and in-situ hardware-based decompression for attention-based neural machine translation.IEEE Access, 11:42751–42763
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Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
Chimera combines kernelized attention approximations with symbolic fusion mechanisms to enable high-fidelity neuro-symbolic inference inside commodity programmable switches.