Knowledge graph embedding

IPA’s Subsidiary, BioStrand, Provides an Update on LENSai™

Retrieved on: 
Wednesday, October 25, 2023
Biotechnology, Infectious Diseases, Health, Technology, Artificial Intelligence, Knowledge, Tom Van Hyfte, RAG, Data analysis, LLM, Innovation, Mathematics, Literature, MD, Doctor of Philosophy, Entrepreneurship, Research, Protein, Knowledge graph embedding, Google Knowledge Graph, Drug discovery, Semantics, Retrieval, NLP, Gene, IID, Safety, IPA, Deep learning, Biomedical data science, Medical imaging

This includes syntactical (sequence) data, 3D structural data, unstructured scientific information (e.g., scientific literature), all integrated within a singular framework, the LENSai Knowledge Graph.

Key Points: 
  • This includes syntactical (sequence) data, 3D structural data, unstructured scientific information (e.g., scientific literature), all integrated within a singular framework, the LENSai Knowledge Graph.
  • This breakthrough facilitates efficient data fusion, enabling a comprehensive analysis and interpretation of complex biological data.
  • Knowledge Graphs and LLMs have been recognized for their superior performance over conventional approaches in drug discovery.
  • For instance, for the important step of identifying drug targets, AI-powered language models have demonstrated superiority over even the most state-of-the-art approaches.

Expert.ai Announces New Features to Hybrid Natural Language Platform

Retrieved on: 
Tuesday, February 7, 2023
Knowledge, NL, Organization, Insurance, Kubernetes, ROI, Google Knowledge Graph, Third party, Platform, Natural language processing, Language, API, Forrester, Unified Medical Language System, Artificial intelligence, KGS, Hybrid intelligent system, NLP, ICD10, ICD9, Health, CPK, Medical Subject Headings, Machine learning, UMLS, Publishing, Environment, AI, Knowledge graph embedding, Risk management, Phonograph record, WAND

BOSTON, Feb. 7, 2023 /PRNewswire/ -- Expert.ai  (EXAI:IM), a leading company in artificial intelligence (AI) for language understanding and language operations, announces today the release of new features for its Natural Language (NL) platform enhancing purpose-built natural language processing (NLP) workflow support. By employing a hybrid approach that combines state of the art in NL techniques – including machine learning and knowledge-based, symbolic AI – the expert.ai Platform gets the most out of unstructured data, like text in documents, applications and tools, to enable organizations create new business models, accelerate time to value and optimize processes.

Key Points: 
  • BOSTON, Feb. 7, 2023 /PRNewswire/ -- Expert.ai (EXAI:IM), a leading company in artificial intelligence (AI) for language understanding and language operations, announces today the release of new features for its Natural Language (NL) platform enhancing purpose-built natural language processing (NLP) workflow support.
  • Natural language text understanding has advanced to among the most widely embedded AI capabilities within organizations.
  • According to Forrester*, "Hybrid AI delivers the best results for NLP Applications... Human knowledge remains essential for many use cases, including the effective use of natural language processing (NLP)."
  • Expert.ai's hybrid NL Platform analyzes and understands unstructured language data in vertical domains to accelerate business impact.