A groundbreaking new study from computer vision startup Voxel51 suggests that the traditional data annotation model is about ...

To address the challenge of controlling protein activation in living animals for gain-of-function studies, researchers from ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Abstract: The Boolean Satisfiability Problem (SAT) was the first known NP-complete problem and has a very broad literature focusing on it. It has been applied successfully to various real-world ...

Scientific research has traditionally been a slow and careful process. Scientists spend years testing ideas and doing ...

Abstract: When dealing with clinical text classification on a small dataset, recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, including ...