CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

An augmented stochastic differential equation of Itȏs type has been constructed while the control objective has been equated to minimization of the expected quadratic cost function. A model-dependent ...

However, both of them suffers from the quadratic computational complexity with respect to the sequence length, which hampers their ability to handle long sequences. Recently a novel State Space Model ...

In the evolving education landscape, traditional private investment models too often fail to support the game-changing startups that are needed to revolutionize learning. In the move toward a more ...

Google DeepMind is assembling a new team of artificial intelligence researchers to develop “world models” that can simulate physical environments. The initiative will be led by Tim Brooks ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Nvidia is getting into world models — AI models that take inspiration from the mental models of the world that humans develop naturally. At CES 2025 in Las Vegas, the company announced that it ...

South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China ...

GPT-4 was used to organize residue-level data and paraphrase sequence-level descriptions, yielding 14M training pairs from Swiss-Prot. An initial ProTrek model was pre-trained on this dataset and then ...