Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:depot
|
| gptkbp:attendees |
gptkb:University
gptkb:physicist practitioners |
| gptkbp:duration |
one day
|
| gptkbp:events |
various academic institutions
|
| gptkbp:focus |
gptkb:Artificial_Intelligence
gptkb:software_framework |
| gptkbp:format |
online
|
| gptkbp:held_in |
gptkb:2020
|
| https://www.w3.org/2000/01/rdf-schema#label |
Neur IPS 2020 Workshops
|
| gptkbp:location |
Virtual
|
| gptkbp:notable_performers |
industry experts
leading researchers |
| gptkbp:offers_workshops_on |
gptkb:hospital
over 30 AI and human rights AI for social good AI in finance AI in education AI in robotics AI and climate change AI and social justice AI and creativity AI and ethics AI and human interaction AI and policy AI and security AI and community engagement AI and accountability AI and bias AI and data privacy AI and explainability AI and fairness AI and governance AI and interpretability AI and sustainability AI and transparency AI and trust |
| gptkbp:outcome |
networking opportunities
research collaborations published papers workshop proceedings |
| gptkbp:part_of |
gptkb:Neur_IPS_2020
|
| gptkbp:release_date |
September 2020
|
| gptkbp:sponsor |
various tech companies
|
| gptkbp:subject |
gptkb:microprocessor
computer vision deep learning natural language processing reinforcement learning fairness in AI ethics in AI |
| gptkbp:user_reviews |
peer-reviewed
|
| gptkbp:website |
https://nips.cc/ Conferences/2020/ Workshops
|
| gptkbp:bfsParent |
gptkb:Neur_IPS_2020
|
| gptkbp:bfsLayer |
6
|