Deep Mind AI for Science Research
GPTKB entity
Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:project
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Deep_Mind_Research_Lab
|
| gptkbp:aims_to |
accelerate scientific discovery
solve complex scientific problems |
| gptkbp:applies_to |
drug discovery
climate modeling protein folding |
| gptkbp:collaborated_with |
gptkb:Harvard_University
gptkb:Stanford_University gptkb:University_of_Cambridge gptkb:MIT |
| gptkbp:collaborates_with |
various scientific institutions
|
| gptkbp:contributed_to |
open scientific collaboration
|
| gptkbp:developed_by |
gptkb:philosopher
|
| gptkbp:focuses_on |
gptkb:Research_Institute
|
| gptkbp:future_plans |
transform healthcare
enhance environmental sustainability |
| gptkbp:has_achievements |
gptkb:Alpha_Fold
improvements in material science |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind AI for Science Research
|
| gptkbp:is_challenged_by |
ethical considerations
data privacy issues algorithmic bias reproducibility concerns |
| gptkbp:is_driven_by |
data analysis
computational power |
| gptkbp:is_evaluated_by |
peer review
impact assessments scientific metrics |
| gptkbp:is_expected_to |
influence policy making
lead to breakthroughs drive innovation in science enhance interdisciplinary collaboration |
| gptkbp:is_influenced_by |
advancements in AI technology
|
| gptkbp:is_informed_by |
gptkb:literary_work
expert opinions regulatory guidelines public feedback |
| gptkbp:is_part_of |
AI for Science initiative
Deep Mind's broader mission |
| gptkbp:is_promoted_by |
workshops
conferences scientific publications |
| gptkbp:is_recognized_by |
gptkb:Research_Institute
|
| gptkbp:is_recognized_for |
its contributions to science
|
| gptkbp:is_supported_by |
gptkb:Job_Search_Engine
philanthropic organizations |
| gptkbp:is_utilized_in |
chemistry
materials science physics biomedical research genomics |
| gptkbp:uses |
gptkb:microprocessor
|
| gptkbp:utilizes |
gptkb:software_framework
|