Why are we developing our core tech in Rust?
There are various reasons, and the most important ones are: Rust means safety, speed, and efficiency with a low memory footprint.
With its low overhead we can target server, desktop, and embedded systems, thus delivery of efficient NLP and AI tech to IoT and High Performance Computing (HPC) uses the same code-base, that is true cross-platform development from the outset.
Being able to take NLP and AI technologies to HPC platforms or to Edge Computing environments, even into restricted embedded systems opens up new application scenarios that most other NLP and AI technologies written in Python or Java do not enable.
Our goal is to entrich the Rust ecosystem with advanced NLP and AI libraries, including Deep Learning and Machine Learning algorithms, as well as symbolic and qualitative methods.
At Semiring we have worked on the further specification of JSON-NLP to enable standardized encoding of the advanced NLP annotations that the Semiring NLP API generates. The JSON-NLP Schema we have implemented in many languages, including Rust and Go:
See the documentation of JSON-NLP for more details.
Sample Rust code for accessing the Semiring NLP API can be found on GitHub:
- Semiring Rust NLP API
Expect more NLP, AI, and Knowledge Graph code and libraries emerging in the GitHub repos of Semiring Inc.