AsiaNet 85456

CAMBRIDGE, England, Sept. 8, 2020 /PRNewswire=KYODO JBN/ --

SciBite, the award-winning semantic technology company, today announced the

launch of SciBiteAI, a state-of-the-art Artificial Intelligence software

platform for leveraging machine learning models alongside semantic technologies

to unlock insights into Life Sciences data.

SciBiteAI offers capabilities beyond the plethora of other AI solutions in the

market by combining machine learning with SciBite's established

industry-leading ontology-based semantics, enabling customers to unlock

insights hidden in the mountain of life science text. SciBiteAI has been

designed to meet key needs for the life sciences with three guiding goals:  

To enable scientists, researchers, and application developers to use

semantics-based deep learning without having to become machine learning

experts;

To replace complex coding with standardized REST APIs, ready for integration

into business workflows and software;

Combine SciBite's expertise in semantics and FAIR data to develop machine

learning-based solutions that enhance the understanding of scientific content.

SciBiteAI was created using state-of-the-art deep learning language models,

trained with data leveraging SciBite's industry-leading semantic technology and

curation. The platform offers a wide variety of functions, including:

Language comprehension based Named Entity Recognition (NER) to identify

concepts not covered by existing vocabularies or ontologies;

Integration with SciBite's TERMite NER software to improve disambiguation and

term discovery;

Relationship Identification: Identify complex relationships between concepts

such as drugs and adverse events, genes and diseases;

Q&A: identifying parts of text which answer natural language questions.

SciBiteAI's architecture is designed to remove the need to write complicated

code, ensuring it is readily deployable for applications. The solution is also

customised for scientific text, ensuring it is optimised for use in the life

sciences, often a weakness of more generic tools.

"SciBiteAI represents the next generation in our ability to understand and

analyse scientific text," says SciBite's CTO, James Malone. "Our software now

exploits and helps build our life science ontologies, as well as find novel and

relevant relationships within data. With SciBiteAI we offer a complete solution

from managing core data standards to advanced AI-based discovery."

Learn more at https://www.scibite.ai

About SciBite

SciBite is an award-winning semantic software company offering an ontology-led

approach to transforming unstructured content into machine-readable data.

Supporting the top 20 pharma with use cases across life sciences, SciBite

empowers customers with fast, flexible, deployable API technologies, making it

a critical component in data-led strategies.

Logo: http://mma.prnewswire.com/media/617446/SciBite_Logo.jpg  

Press contact:

Lauren Barham, Marketing Manager  

lauren@scibite.com    

+44 (0)1223786129

Source: SciBite