EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the Alps ...

According to Forrester, organizations adopting AI-driven automation in cloud migration are achieving faster transitions, ...

Google announced at Google I/O 2025 that it’s bringing real-time speech translation to Google Meet. The feature leverages a large language audio model from Google DeepMind to allow for a natural ...

Want to use ChatGPT to review your codebase? Here's a complete step-by-step guide to getting your project into GitHub and connected to Deep Research - in minutes.

This study presents a novel translation framework by combining transfer learning and part-of-speech (POS) tagging methods to improve the performance of low-resource neural machine translation models ...

These advanced models use deep learning to analyze input sequences and predict likely outputs, making them indispensable tools for AI-driven text generation and contextual understanding.

Language AI pioneer DeepL is targeting expansion in business users in APAC with the promise of more natural language translations.

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, ...

The demand for optimized inference workloads has never been more critical in deep learning. Meet Hidet, an open-source deep-learning compiler developed by a dedicated team at CentML Inc. This ...

10. MXNet Closing out our list of the 10 best Python libraries for deep learning is MXNet, which is a highly scalable open-source deep learning framework. MXNet was designed to train and deploy deep ...

Intent The intent of the experiment was to determine if it would be possible to build a neural machine translation system using an Encoder-Decoder architecture which would be able to be trained and ...