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JENGA reveals that RowHammer countermeasures can inadvertently increase task execution times, undermining the safety assumptions of real-time systems.
Approximate computing can break MoEs in unexpected ways, with dense networks sometimes proving more robust, but careful retraining can unlock surprising efficiency gains in specific architectures.
KANs get a 50x BitOps reduction without accuracy loss by quantizing their B-splines down to 2-3 bits and using lookup tables.