GitHub

Layered Prefill changes the scheduling axis from tokens to layers and removes redundant MoE weight reloads while keeping decode stall free. The result is lower TTFT, lower end ...

The model is partitioned into contiguous layer groups and prefill advances one group per iteration while every group continues to run decode. At each iteration exactly one designated group performs ...
IEEE

Efficient and Robust SNN Decoder Training for Closed-Loop Brain-Machine Interfaces

Abstract: To enable low-power, closed-loop control in implantable brain-machine interfaces (BMIs), we explore efficient training strategies for spiking neural network (SNN) decoders under realistic ...
newtelegraphng

MFM Ajah Mega Axis Empowers Pastors, Workers With “Excellence In Ministry” Training

The Mountain of Fire and Miracles Ministries (MFM) Ajah Mega Axis has held a capacity-building retreat and impartation service with the theme “Excellence in Ministry” to empower pastors, ministers, ...
IEEE

Reinforced Decoder: Toward Training Recurrent Neural Networks for Time-Series Forecasting

Abstract: Recurrent neural network-based sequence-to-sequence (S2S) models have been extensively applied for multistep-ahead time-series forecasting. These models typically involve a decoder trained ...