Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the content of images. We descri...
We report a method to convert discrete representations of molecules to and\nfrom a multidimensional continuous representation. This model allows us to\ngenerate new molecules fo...
The authors present a time-delay neural network (TDNN) approach to phoneme recognition which is characterized by two important properties: (1) using a three-layer arrangement of...
Concepts can be represented by distributed patterns of activity in networks of neuron-like units. One advantage of this kind of representation is that it leads to automatic gene...
We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tri...
Abstract The adaptation of CRISPR/SpCas9 technology to mammalian cell lines is transforming the study of human functional genomics. Pooled libraries of CRISPR guide RNAs (gRNAs)...
▪ Abstract Lateral gene transfer (LGT) is now known to be a major force in the evolution of prokaryotic genomes. To date, most analyses have focused on either (a) verifying phyl...