Scientific American

Does String Theory Explain the Wiring of the Brain?

Does string theory—the controversial “theory of everything” from physics—tell us anything about consciousness and the human ...
Nanowerk

Atoms caught in the act of wetting

Real-time microscopy and AI reveal how atomic wetting controls tin oxide nanowire growth inside carbon nanotubes, uncovering ...
Frontiers

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
C&EN

GGCRB: A Graph Neural Network Approach for Predicting CircRNA–RBP Interactions Using Structural and Sequence Features

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The interaction between circular RNAs (circRNAs) and RNA-binding proteins (RBPs) plays ...
IEEE

Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks

Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...
SFGate

Mass layoffs hit major Bay Area health care network

UCSF Health is slashing approximately 200 positions to mitigate “serious financial challenges,” the hospital network said in a statement to SFGATE on Wednesday. Kristen Bole, a spokesperson for UCSF, ...
Scientific Research Publishing

Chung, J., Gulcehre, C., Cho, K. and Bengio, Y. (2014) Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
GitHub

A multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties

Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but identifying immunogenic epitopes is challenging. The vast majority of prediction methods only use ...
marktechpost

RWKV-7: Advancing Recurrent Neural Networks for Efficient Sequence Modeling

Autoregressive Transformers have become the leading approach for sequence modeling due to their strong in-context learning and parallelizable training enabled by softmax attention. However, softmax ...