Meet our baby, Iris.ai
The day we’ve been waiting for is finally here! Meet our baby, Iris.AI.
We are thrilled to finally be able to introduce our three month old baby artifical intelligence, Iris.ai.
Go ahead and explore science behind TED talks with Iris.ai.
And join our AI fellowship program to help Iris.ai learn more.
Four facts about Iris.ai:
1. Who’s Iris.ai?
Iris.ai is your shortcut to science.
This first version of our AI lets you deep-dive into the science behind any TED-talk. TED lovers are now be able to explore relevant content related to the talks, machine-selected from more than two million open access research papers. You can navigate the content from in-depth detail up to a big picture overview covering a multitude of research fields.
Iris.ai is improving everyday, and although we humbly note that there’s a huge scope for improvement, we are pretty fascinated by the results. Here’s an example talk by Aaron O’Connell that Iris.ai reads particularly well:
2. Why TED?
Because we love the talks and we’ve always been curious to explore the science around them. Now there’s a tool dedicated to that. 🙂
Because mastering 2,000+ TED Talks works as a great starting point for Iris.AI to learn. The talks provide Iris.AI with an overall understanding of a wide number of different research fields.
Because we are starting our AI Fellowship Program and know that there are many TED fans who would like to be part of that.
3. Why we do this?
A huge amount of new research is being published everyday by brilliant researchers around the world. Yet, only a disturbingly small portion of it is put into practice or ever even read. Research papers, and the connections they make, hold great potential to solve humanity’s biggest problems from climate change to curing cancer. The challenge is that our human brains are not powerful enough to process all the information that is available.
Our ultimate goal is to build an artificial intelligence capable of highlighting new trends and interconnections of discoveries to unleash the disruptive power of science and help us connect the dots.
4. What happens next?
For now Iris.ai relies fully on computer intelligence and 2,000+ TED-talks that we gave her to read. In the future, she needs to learn a lot more to master all the research fields and to provide stellar results.
AI is a complex field where these results can be best achieved by combining human and computer intelligence. Therefore, our next steps include broadening our input and output ranges as well as developing our AI by training it with individuals, companies and institutions with a passion for making science more accessible.
We already have a number of universities and research institutions doing this with us including Future Earth, Stockholm Resilience Centre, Chalmer’s university and Aalto University.
Wish to be part of this community, too? Join our AI Fellowship Program and you’ll hear back from us very soon.