Prime: A novel processing-in-memory architecture for neural network computation in reram-based main memory
Processing-in-memory (PIM) is a promising solution to address the "memory wall" challenges
for future computer systems. Prior proposed PIM architectures put additional computation …
for future computer systems. Prior proposed PIM architectures put additional computation …
High-efficiency organic solar cells with low non-radiative recombination loss and low energetic disorder
Energy loss within organic solar cells (OSCs) is undesirable as it reduces cell efficiency 1 ,
2 , 3 – 4 . In particular, non-radiative recombination loss 3 and energetic disorder 5 , which …
2 , 3 – 4 . In particular, non-radiative recombination loss 3 and energetic disorder 5 , which …
Comprehensive review of targeted therapy for colorectal cancer
YH Xie, YX Chen, JY Fang - Signal transduction and targeted therapy, 2020 - nature.com
Colorectal cancer (CRC) is among the most lethal and prevalent malignancies in the world
and was responsible for nearly 881,000 cancer-related deaths in 2018. Surgery and …
and was responsible for nearly 881,000 cancer-related deaths in 2018. Surgery and …
Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir
…, X Wang, F Zhou, W Zhao, M Gao, S Chang, YC Xie… - Science, 2020 - science.org
The pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), has become a global crisis. Replication of SARS-…
syndrome coronavirus 2 (SARS-CoV-2), has become a global crisis. Replication of SARS-…
Nvsim: A circuit-level performance, energy, and area model for emerging nonvolatile memory
Various new nonvolatile memory (NVM) technologies have emerged recently. Among all the
investigated new NVM candidate technologies, spin-torque-transfer memory (STT-RAM, or …
investigated new NVM candidate technologies, spin-torque-transfer memory (STT-RAM, or …
Contrastive learning for compact single image dehazing
Single image dehazing is a challenging ill-posed problem due to the severe information
degeneration. However, existing deep learning based dehazing methods only adopt clear …
degeneration. However, existing deep learning based dehazing methods only adopt clear …
Model compression and hardware acceleration for neural networks: A comprehensive survey
Domain-specific hardware is becoming a promising topic in the backdrop of improvement
slow down for general-purpose processors due to the foreseeable end of Moore's Law. …
slow down for general-purpose processors due to the foreseeable end of Moore's Law. …
Towards artificial general intelligence with hybrid Tianjic chip architecture
There are two general approaches to developing artificial general intelligence (AGI) 1 :
computer-science-oriented and neuroscience-oriented. Because of the fundamental differences …
computer-science-oriented and neuroscience-oriented. Because of the fundamental differences …
Enhanced pix2pix dehazing network
In this paper, we reduce the image dehazing problem to an image-to-image translation
problem, and propose Enhanced Pix2pix Dehazing Network (EPDN), which generates a haze-…
problem, and propose Enhanced Pix2pix Dehazing Network (EPDN), which generates a haze-…
Design space exploration for 3D architectures
As technology scales, interconnects have become a major performance bottleneck and a
major source of power consumption for microprocessors. Increasing interconnect costs make it …
major source of power consumption for microprocessors. Increasing interconnect costs make it …