Statements (285)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Company
gptkb:software_framework |
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Apple_Inc.
gptkb:TV_Show |
| gptkbp:acquired |
gptkb:Apple_Inc.
|
| gptkbp:aims_to |
computational costs of AI
enable AI on low-power devices privacy in AI applications enable AI on Io T devices improve AI processing speed reduce AI model size |
| gptkbp:based_on |
gptkb:United_States
|
| gptkbp:client |
security companies
automotive companies retail companies healthcare companies smart home companies |
| gptkbp:collaborates_with |
various industries
|
| gptkbp:competes_with |
gptkb:Microsoft_AI
gptkb:DJ gptkb:Amazon_AI gptkb:Google_AI other AI companies |
| gptkbp:competitors |
gptkb:Microsoft_AI
gptkb:philosopher gptkb:C3.ai gptkb:DJ gptkb:Zebra_Medical_Vision gptkb:Amazon_AI gptkb:Affectiva gptkb:Dataiku gptkb:Google_AI gptkb:Open_AI gptkb:Clarifai gptkb:H2_O.ai gptkb:Cortexica gptkb:boxing_match gptkb:server gptkb:Sense_Time gptkb:Ui_Path gptkb:Data_Robot Slyce. |
| gptkbp:contributed_to |
open-source projects
|
| gptkbp:developed_by |
computer vision algorithms
AI models for low-power devices |
| gptkbp:develops |
gptkb:microprocessor
gptkb:viewpoint gptkb:technology deep learning models |
| gptkbp:enables |
real-time processing
|
| gptkbp:focuses_on |
gptkb:viewpoint
gptkb:Model gptkb:software_framework gptkb:technology Edge AI real-time processing edge AI edge AI solutions |
| gptkbp:founded |
gptkb:2016
gptkb:2017 gptkb:Ali_Farhadi Mohammad Rastegari Seyed-Mohsen Moosavi |
| gptkbp:founder |
gptkb:Saeed_Aghazadeh
gptkb:Ali_Farhadi Mohammad Rastegari Seyed-Mohsen Moosavi |
| gptkbp:has_awards |
gptkb:Seattle_Business_Magazine_Award
gptkb:Tech_Crunch_Disrupt_Award Best Startup Award Innovative Technology Award AI Excellence Award |
| gptkbp:has_events |
workshops
webinars tech expos AI conferences startup competitions |
| gptkbp:has_mission |
democratize AI technology
|
| gptkbp:has_part |
gptkb:Company
gptkb:Xnor.ai's_edge_devices gptkb:Research_Institute partnerships with tech companies marketing team sales team partnerships with universities partnerships with research institutions Xnor.ai's AI models |
| gptkbp:has_product |
gptkb:Io_T_devices
gptkb:Xnor.ai_Face_Recognition gptkb:Xnor.ai_Object_Detection gptkb:Xnor.ai_Person_Detection gptkb:helicopter gptkb:mobile_application smart cameras Xnor.ai Image Classification Xnor.ai AI platform Xnor.ai Edge AI |
| gptkbp:has_programs |
gptkb:film_production_company
gptkb:public_transportation_system gptkb:software gptkb:Insurance_Company gptkb:computer gptkb:helicopter healthcare manufacturing industrial automation security systems retail retail analytics smart cameras agriculture technology |
| gptkbp:has_team |
data scientists
software engineers AI researchers |
| gptkbp:headquartered_in |
gptkb:Seattle,_Washington
|
| gptkbp:headquarters |
gptkb:Seattle,_Washington
|
| https://www.w3.org/2000/01/rdf-schema#label |
Xnor.ai
|
| gptkbp:industry |
gptkb:Artificial_Intelligence
gptkb:software_framework gptkb:technology |
| gptkbp:is_a_solution_for |
gptkb:Io_T_devices
gptkb:mobile_application smart cameras |
| gptkbp:is_associated_with |
AI ethics
|
| gptkbp:is_committed_to |
sustainability in AI
|
| gptkbp:is_featured_in |
technology news articles
|
| gptkbp:is_influential_in |
AI research community
|
| gptkbp:is_involved_in |
research and development
community outreach programs workshops and seminars AI ethics discussions AI education initiatives AI policy advocacy |
| gptkbp:is_known_for |
real-time processing
on-device AI processing low-power AI solutions low-latency AI applications privacy-preserving AI low-power AI technology |
| gptkbp:is_part_of |
gptkb:National_Park
the AI ecosystem |
| gptkbp:is_recognized_for |
user-friendly interfaces
efficient algorithms scalable solutions customizable models on-device AI processing privacy-preserving technology |
| gptkbp:key_people |
gptkb:Ali_Farhadi
gptkb:Dawn_Song Mohammad Rastegari |
| gptkbp:launched |
gptkb:2016
|
| gptkbp:leadership |
edge AI technology
|
| gptkbp:notable_products |
Xnor.ai's AI models
Xnor.ai's facial recognition technology Xnor.ai's object detection technology |
| gptkbp:offers |
gptkb:microprocessor
gptkb:viewpoint machine learning tools edge AI solutions computer vision solutions object detection technology image classification technology |
| gptkbp:partnership |
gptkb:software
hardware manufacturers various hardware manufacturers |
| gptkbp:partnerships |
gptkb:software
universities government agencies hardware manufacturers research institutions various technology companies |
| gptkbp:products |
gptkb:Xnor.ai_Anomaly_Detection
gptkb:Xnor.ai_Face_Recognition gptkb:Xnor.ai_Object_Detection gptkb:Xnor.ai_Person_Detection Xnor.ai Image Classification |
| gptkbp:provides |
gptkb:Model
gptkb:technology on-device AI technology on-device AI capabilities on-device AI solutions low-power AI models |
| gptkbp:publishes |
research papers
blog posts case studies technical reports white papers |
| gptkbp:receives_funding_from |
government grants
angel investors venture capital firms corporate investments |
| gptkbp:research_focus |
gptkb:software_framework
computer vision deep learning AI ethics AI efficiency |
| gptkbp:specializes_in |
gptkb:Artificial_Intelligence
Edge AI computer vision |
| gptkbp:targets |
gptkb:software
businesses |
| gptkbp:technology |
gptkb:microprocessor
gptkb:Io_T_devices gptkb:Model gptkb:robot gptkb:helicopter compliance with regulations customer support services real-time analytics smart home applications gesture recognition user-friendly interfaces community engagement initiatives workshops and training sessions cross-platform compatibility image classification anomaly detection anomaly detection systems scene understanding low-latency processing automated machine learning tools scalable AI solutions edge computing solutions open-source contributions automated surveillance systems model optimization tools robot navigation semantic segmentation energy-efficient algorithms data augmentation techniques optical character recognition smart cameras sensor fusion technology face detection real-time processing capabilities data privacy features image recognition algorithms activity recognition collaborations with research institutions model compression techniques real-time image processing object tracking partnerships with hardware manufacturers AI inference engines AI model optimization AI model optimization tools real-time feedback systems educational resources for developers video analytics solutions AI inference engine data annotation tools AI model deployment solutions object detection algorithms custom AI solutions software development kits (SD Ks) application programming interfaces (AP Is) image classification models smart camera technology transfer learning capabilities AI model deployment tools cloud-based AI services AI model evaluation metrics AI model training frameworks anomaly detection models consulting services for AI integration educational resources for AI development face recognition models gesture recognition models low-power AI solutions privacy-preserving AI solutions real-world application case studies scene understanding models binary neural networks on-device AI privacy-preserving AI Io T integration capabilities transfer learning methods |
| gptkbp:uses |
gptkb:software_framework
deep learning |
| gptkbp:utilizes |
gptkb:software_framework
deep learning |
| gptkbp:vision |
accessible AI solutions
|
| gptkbp:website |
https://www.xnor.ai
|
| gptkbp:year_created |
gptkb:2016
|