AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

An Autoregressive Model-Based Differential Framework With Learnable Regularization for CSI Feedback in Time-Varying Massive MIMO Systems

Abstract: In frequency division duplex (FDD) mode, the substantial feedback overhead in massive multi-input multi-output (MIMO) systems needs to be mitigated. Existing channel feedback methods that ...
GitHub

ESMF SDK Python Aspect Model Loader

The ESMF SDK Python Aspect Model Loader contains artifacts and resources for all parties that intent to use, extend or integrate with the Semantic Aspect Meta Model, e.g., Solution Developers, Domain ...
IEEE

A Novel Three-Stage Filtering Identification Algorithm for the Exponential Autoregressive Time-Series Model

Abstract: This letter studies the identification of a typical nonlinear time-series model, i.e., the exponential autoregressive model with unknown time-delay and colored noise. To deal with the ...
GitHub

The IMAU Python SEB model for snow and ice

Note that Python version 3.9.2 might be required for compatilibity with the numba package (on March 2022). Note that the latest Python version (3.13) is currently not ...