Deep Mind's Language Research
GPTKB entity
Statements (70)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:research
|
| gptkbp:aims_to |
AI capabilities
AI for all languages more inclusive AI |
| gptkbp:aims_to_improve |
gptkb:language
cross-cultural communication collaborative tools human-computer interaction user experience language preservation language barriers language understanding accessibility in technology linguistic research. |
| gptkbp:analyzes |
language data
social media language |
| gptkbp:applies_to |
gptkb:customer_service
gptkb:education healthcare |
| gptkbp:collaborates_with |
government agencies
non-profit organizations academic institutions industry partners |
| gptkbp:conducts |
experiments
|
| gptkbp:contributes_to |
open-source projects
AI ethics |
| gptkbp:develops |
gptkb:AI_technology
chatbots language models speech recognition systems dialogue systems AI tools for writers automated writing assistants interactive AI systems personalized learning tools |
| gptkbp:engages_in |
interdisciplinary research
|
| gptkbp:enhances |
sentiment analysis
text summarization |
| gptkbp:explores |
contextual understanding
AI for social good AI in education AI-driven content creation AI for language revitalization AI in linguistics multimodal AI |
| gptkbp:focuses_on |
gptkb:Natural_Language_Processing
real-time translation text analysis language comprehension language modeling language diversity language accessibility ethical AI |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind's Language Research
|
| gptkbp:investigates |
language translation
cognitive science language acquisition bias in AI language and culture language and identity language generation emotional AI |
| gptkbp:participates_in |
conferences
|
| gptkbp:publishes |
research papers
|
| gptkbp:receives_funding_from |
gptkb:investors
|
| gptkbp:utilizes |
gptkb:neural_networks
machine learning techniques transfer learning |
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|