Resistance switching in metal oxides could form the basis for next-generation non-volatile
memory. It has been argued that the current in the high-conductivity state of several …

Fine-tuning is the de facto way to leverage large pretrained language models to perform
downstream tasks. However, it modifies all the language model parameters and therefore …

The SARS-CoV-2 epidemic started in late December 2019 in Wuhan, China, and has since
impacted a large portion of China and raised major global concern. Herein, we investigated …

It is now known that the complexity of network topology has a great impact on the stabilization
of complex dynamical networks. In this work, we study the control of random networks and …

Conventional cathodes of Li‐ion batteries mainly operate through an insertion–extraction
process involving transition metal redox. These cathodes will not be able to meet the …

Although convolutional neural networks (CNNs) have achieved great success in computer
vision, this work investigates a simpler, convolution-free backbone network useful for many …

Covalently closed circular RNAs (circRNAs) are produced by precursor mRNA back-splicing
of exons of thousands of genes in eukaryotes. circRNAs are generally expressed at low …

AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

… Xiang Li is also a visiting scholar at Momenta. Email: xiang.li[email protected] †Wenhai
Wang is with National Key Lab for Novel Software Technology, Nanjing University. He was …

Federated learning enables a large amount of edge computing devices to jointly learn a
model without data sharing. As a leading algorithm in this setting, Federated Averaging (\texttt{…