Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

Hover over this diagram to see how a neural turing machine shifts its attention over its old memory values to create new values. Unfortunately, while there are a plethora of conferences and journals ...

From a person familiar with Neural Machine Translation (NMT), this amount of learning is small. In the database, the parallel corpus of the minutes of the European Parliament between 1996 and 2011 ...

Understanding the molecular mechanisms underlying eukaryotic transcription ... from the high throughput screen, to learning and implementing both machine learning approaches, expert data analysis, and ...

However, these mechanisms represent only part of the full picture of how antibiotics act. In a new study of antibiotic action, MIT researchers developed a new machine-learning approach to discover ...

“By integrating machine learning with advanced simulation techniques, we’ve created a powerful approach that bridges theoretical predictions and experimental validations of CO2-capture mechanisms in a ...

Researchers at Weill Cornell Medicine have recently used machine learning to investigate the molecular and neural mechanisms that could underlie these differences among individuals diagnosed with ASD.