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A 16-nm soc for noise-robust speech and nlp edge ai inference with bayesian sound source separation and attention-based dnns
The proliferation of personal artificial intelligence (AI)-assistant technologies with speech-
based conversational AI interfaces is driving the exponential growth in the consumer Internet …
based conversational AI interfaces is driving the exponential growth in the consumer Internet …
AI accelerator on IBM Telum processor: Industrial product
IBM Telum is the next generation processor chip for IBM Z and LinuxONE systems. The
Telum design is focused on enterprise class workloads and it achieves over 40% per socket …
Telum design is focused on enterprise class workloads and it achieves over 40% per socket …
A high-density and reconfigurable SRAM-based digital compute-in-memory macro for low-power AI chips
C Zhang, M Wang, Y Mai, C Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This brief presents a high-density and configurable digital SRAM-based compute-in-memory
(CIM) macro that performs multiply-and-accumulation (MAC) operations for low-power …
(CIM) macro that performs multiply-and-accumulation (MAC) operations for low-power …
MiniFloat-NN and ExSdotp: An ISA extension and a modular open hardware unit for low-precision training on RISC-V cores
Low-precision formats have recently driven major breakthroughs in neural network (NN)
training and inference by reducing the memory footprint of the NN models and improving the …
training and inference by reducing the memory footprint of the NN models and improving the …
An efficient training accelerator for transformers with hardware-algorithm co-optimization
Transformers have achieved significant success in deep learning, and training Transformers
efficiently on resource-constrained platforms has been attracting continuous attention for …
efficiently on resource-constrained platforms has been attracting continuous attention for …