In addition to transfer learning, the project will study multilingual machine translation, self-supervised machine translation and unsupervised machine translation.

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

Most studies find that neural machine-translation models can translate only about 30 percent of novel excerpts—usually simple passages—with acceptable quality, as determined by native speakers.

Our method achieves significant improvements in translation quality, close to the results that can be achieved by a general purpose neural machine translation system trained on a significant amount of ...

Smartling, the enterprise translation solutions company, today announced a major product expansion for its Neural Machine Translation (NMT) Hub, makin ...

A resistor that works in a similar way to nerve cells in the body could be used to build neural networks for machine learning. Many large machine learning models rely on increasing amounts of ...

The advantages of neural machine translation (NMT) have been extensively validated for offline translation of several language pairs for different domains of spoken and written language. However, ...

Brainchip has introduced a new generation of its unique, bio-inspired Akida line of licensable, configurable neural processing IP.

Increasingly, the trend in machine learning forms of artificial intelligence is toward larger and larger neural networks. The biggest neural nets, such as such as Google's Pathways Language Model ...