Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

webinars: Link to Alice / Open Architecture call for contribution #47

Open
wants to merge 3 commits into
base: master
Choose a base branch
from
Open

webinars: Link to Alice / Open Architecture call for contribution #47

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
5173c35
webinars: Link to Alice / Open Architecture call for contribution
pdxjohnny Nov 2, 2022
34aaa84
webinars: README: Alice: update wording
pdxjohnny Nov 2, 2022
5d7480e
webinars: README: Alice: Mention supply chain security focus
pdxjohnny Nov 2, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions webinars/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,5 +10,6 @@ _Please feel free to provide pull requests for updating this section with your s
* A presentation by [Paola Di Maio](https://github.com/Starborn) (AI KR CG) on the intersection and co-evolution of Cognitive AI, Knowledge Representation and Machine Learning, expounding the system level knowledge representation and the need for KR to ensure reliablty transparency and accountability of CogAI. The presentation discusses the role of KR in AI, the risks arising from lack of KR, as well as the future of KR in ML
* A presentation by [Pierre Monnin](https://pmonnin.github.io/) of (i) how domain knowledge can improve the performance of a matching approach based on Graph Convolutional Networks in Knowledge Graphs [(Monnin et al., Semantic Web Journal, 2022)](https://content.iospress.com/articles/semantic-web/sw210452), and (ii) how domain knowledge offers additional evaluation perspectives for Machine Learning models with the Sem@K metric ([Hubert et al., EKAW 2022](https://hal.inria.fr/hal-03722881v3/document), [Hubert et al., DL4KG@ISWC 2022](https://hal.archives-ouvertes.fr/hal-03787512/document))
* An open discussion moderated by Dave Raggett on recent work on deep learning, e.g. OpenAI's [DALL•E 2](https://openai.com/dall-e-2/), Hugging Face's [Stable Diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion), Google's [DreamBooth](https://dreambooth.github.io), Hugging Face's [BLOOM](https://huggingface.co/bigscience/bloom), current limitations, and the challenges for achieving scalable learning for machine-based reasoning, see e.g., [fundamental limitations/drawbacks of deep learning everyone should know](https://medium.com/mlearning-ai/fundamental-limitations-drawbacks-of-deep-learning-models-everyone-should-know-71c6176575d5) (Sharad Joshi on medium.com)
* A [call for contribution](https://www.youtube.com/watch?v=THKMfJpPt8I&list=PLtzAOVTpO2jYt71umwc-ze6OmwwCIMnLw) from the [DFFML Community](https://github.com/intel/dffml/discussions/1406?sort=new) to collaboratively [plan](https://www.youtube.com/watch?v=UIT5Bl3sepk&list=PLtzAOVTpO2jYt71umwc-ze6OmwwCIMnLw) and thereby [manifest](https://github.com/intel/dffml/blob/alice/docs/arch/0008-Manifest.md) description of any system architecture or process flow via the [Open Architecture](https://github.com/intel/dffml/blob/alice/docs/arch/0009-Open-Architecture.rst) methodology, as well as a reference entity, [Alice](https://github.com/intel/dffml/tree/alice/entities/alice/). Their work has a [supply chain security](https://github.com/intel/dffml/tree/alice/docs/tutorials/rolling_alice/0000_architecting_alice) (train of thought security) focus.
* _others to be added_