Theon Greyjoy's Profile
Theon Greyjoy
Submitted
Activity Feed
I saw a similar example of partnership in the chemical industry, where machine learning algorithm helped to control process parameters.
However, for me the open question here is the motivation of startup in work with the manufacturer. The manufacturer takes control over the results of the project and the potential for scaling is not really high. For instance, development of predictive maintenance model is often a separate project for every piece of equipment working in particular circumstances.
A very promising idea in a greatly underinvested area.
However, the idea is based on an assumption that there are common patterns in the use of digital devices, indicating mental problems. There could be a great variation among this patterns that could create a lot of false positive outcomes. In other words the fast scrolling with a certain angle could be a mental disorder could be caused by a mental disorder for one patient and be just a habit for another.
I believe the greatest question here is trust between researchers and Lilly. The scheme is also vulnerable to media-attacks. If new drug of Lilly will have any similarities with any of the ideas in the database – it could become a significant issue and damage the reputation of the project.
My greatest concern in all this industry is data safety. I believe that many high-skill professionals of this field won’t disclose identity to anybody, including HackerOne. Thereby, there will be no safeguard against the selling of information about vulnerability to a number of parties.
Thereby they will become rather a consulting company – a collection of IT-professional devoted themselves to legal hacking. Which is not bad after all.
On my experience, the practical application of additive manufacturing is still limited despite the potential that is clear and huge. I think we are in the very beginning of the technology lifecycle when it’s still not economically viable, but the long-term investments already pushed it to the level, where the first promising applications appear.