Nayara Calazans
@uzkxkaztc4n12ice
distill.pub/2017/aia/
Jan 23, 2023
1
www.ted.com/talks/michael_nielsen_open_science_now
Jan 23, 2023
11
hbr.org/2020/02/use-data-to-revolutionize-project-planning
Jan 19, 2023
1
github.com/nplan-io/ml_paper_club
Jan 19, 2023
1
tim.blog/category/entrepreneurship/
Nov 7, 2021
1
We believe that over the next few years a community will emerge which answers these questions. It will run workshops and conferences. It will publish work in venues such as Distill. Its standards will draw from many different communities: from the artistic and design and musical communities; from the mathematical community’s taste in abstraction and good definition; as well as from the existing AI and IA communities, including work on computational creativity and human-computer interaction. The long-term test of success will be the development of tools which are widely used by creators. Are artists using these tools to develop remarkable new styles? Are scientists in other fields using them to develop understanding in ways not otherwise possible? These are great aspirations, and require an approach that builds on conventional AI work, but also incorporates very different norms.