AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid discovery in biology, medicine, and synthetic biology—along with key ethical ...

A mesh convergence study was performed to ensure the result was independent of mesh size. 2.2. Material Properties Both linear and nonlinear material models were considered. The elastic modulus was ...

Linear Minerals Corp. Thu, May 8, 2025, 6:00 AM1 min read ...

This is the equivalent of linear algebra—performing matrix multiplication. However, AI models are often used to find intricate patterns in data where the output is not always proportional to the ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

Graph wavelet transforms allow for the effective representation of signals that are defined over irregular domains. The transform coefficients should be sparse, and encode salient features of a signal ...

Here’s an example of just how chaotic things are in Hollywood these days: Disney CEO Bob Iger‘s recent remarks that the company’s linear TV assets “may not be core” to its business were ...

For linear transforms, this requires some preprocessing algorithm to generate an edgemap that encodes the locations of the discontinuities. However the nonlinear transform has an in-built edge-aware ...