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Transformer attention applied to geometry-aware segment tokens unlocks 2459x speedup for electromigration stress prediction with sub-8% error.
Achieving an 11% boost in energy efficiency for edge AI applications by smartly balancing throughput and latency through hierarchical operator parallelism.
Forget massive offline datasets: TCL slashes tensor program optimization time by 16x while *improving* inference latency, thanks to a Mamba-powered cost model and continual learning.
Ditch the GPU? Active Imitation Learning can tame the thermal chaos of running large foundation models on 3D-stacked CPUs, unlocking a cost-effective alternative for LFM inference.