The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

Volatility, risk, and increasing customer expectations have always been serious concerns for the global banking sector ...

Uncharted, the company unveiled a series of new features focused on removing unnecessary complexity and consolidating ...

The problem of adjusting a live ad buy in linear has jumped over one more hurdle. Earlier this year, DirectTV Advertising announced that their satellite TV content can now be bought programmatically ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

We formulate the stability blueand positivity criteria as bluesolvable linear programming constraints. Additionally, we prove that the proposed mechanism excludes Zeno behavior by guaranteeing a ...

To address these challenges, we propose the Linear Graph Network (LGNet), which theoretically compresses multi-layer GCNs into a single layer, enabling the embedding of new nodes during inference.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear) ...