idan_pan

This paper discusses setting up AI centers but also argues that cooperation is beneficial. https://hbr.org/2019/01/how-to-set-up-an-ai-center-of-excell...

I'm not sure that it is just lack of interest in commercialisation, though that does exist. I think that the academy and industry work in different scale. In the industry low risk short term project have high value. The academy aims for novelty which usually means high risk and longer terms. Companies that aim to high risk longer term are usually either start up that that project is their core or large companies that can afford failing 9 out of 10 projects and have the benefit form the others to return the investment in 5 years.

I think that an important obstacle is that the industry and academy have different goals and therefore different motivations. We (researchers from Palo Alto Networks and Shodan), recently published a paper on machine learning challenges in cyber security, aiming to the academy. https://arxiv.org/abs/1812.07858

Finding problems that will be of interest to the academy wasn't easy. Taking algorithms that will be based on them and turning them into a product will be hard.

We explained why textbook machine learning will fail on these problem, what make it interesting academically. We also provide data for academic use, what enables academic research.

So far response is positive, so I hope that we found a way for academy-industry cooperation.