It lets you easily
integrate machine learning models so you can build apps with neat new features (like near - instant photo editing and photo manipulation) without too much work.
Not exact matches
Researchers from North Carolina State University have demonstrated that molecular dynamics simulations and
machine learning techniques could be
integrated to create more accurate computer prediction
models.
Lawrence Livermore National Laboratory researchers Priyadip Ray (left) and Brenden Petersen and their teams, using
machine learning algorithms, have developed computer
models that can more accurately characterize a patient's progression through stages of sepsis and better predict mortality risk by
integrating past medical history, real - time vital signs and other diagnostics.
For a systems - level understanding of all crucial protein interactions during cell division, we are combining automated single molecule calibrated imaging and computational data analysis with advanced
machine learning and
modelling approaches to build an
integrated protein atlas of the human dividing cell.
New tools from data assimilation and
machine learning make it possible to
integrate global observations and local high - resolution simulations in an Earth system
model (ESM) that systematically
learns from both.