A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks ...

Understanding what causes disease is key to improving its treatment and prevention. Large health studies like UK Biobank measure thousands of possible causes of disease. Traditionally, scientists have ...

Many prokaryotic and eukaryotic cells metabolize glucose to organism-specific by-products instead of fully oxidizing it to carbon dioxide and water—a phenomenon referred to as the Warburg Effect. The ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

TSTL is a domain-specific language (DSL) and set of tools to support automated generation of tests for software. This implementation targets Python. You define (in Python) a set of components used to ...

Cohort-wide sequencing studies have revealed that the largest category of variants is those deemed ‘rare’, even for the subset located in coding regions (99% of known coding variants are seen in less ...

Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...

This framework implements key experiments from recent work on the lottery ticket hypothesis and the science of deep learning: It was created by Jonathan Frankle during his time as a summer intern and ...

Analysis of brain connectivity has become an important research tool in neuroscience. Connectivity can be estimated between cortical sources reconstructed from the electroencephalogram (EEG). Such ...