AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Reading a word involves complex interactions between spelling, meaning, and sound. Researchers from Japan and Canada explore ...

The architecture of this model combines each user's features and his historical event lists by sequence-to-sequence (Seq2Seq) structure and make predictions based on his recent event lists. We also ...

As the CEO of Bhashini, Nag is helping build the government's platform to make digital content and services more accessible across India's diverse languages ...

To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource ... with a success rate of nearly 50%. Our model achieved competitive results, mainly ...

Carnegie Mellon University researchers are using personalized models to decode how cancer behaves in individual patients—revealing hidden subtypes, improving survival predictions and charting a new ...

In this paper, we implement and parallelize batch learning for a Sequence-to- Sequence (Seq2Seq) model, which is the most basic model of NMT, without using a padding strategy. More specifically, our ...