Topic: Golem Deep Dive - excellent work and vision from developers. From render to ML (Read 72 times)

added for voting and forecast on YEENOT TODAY https://yeenot.today/catalog/news/189

summary:
There is much more to Golem than verification of broadly defined nondeterministic tasks, but this seems to be one of the most prominent challenges in a decentralized and trustless setting
A detailed introduction to Monte Carlo rendering was presented to give you a better understanding of the problems one has to tackle when fully a decentralized infrastructure is to be prepared. As most of the issues are well known, applying them in a trustless decentralized setting requires additional thoughts in order to balance: quality, security, pricing, and efficiency
Our approach to this challenge was presented and we shared a few ideas and directions we’re already exploring in regard to improving general network security without sacrificing too much efficiency
A few approaches to verification of rendering tasks were shown along with the introduction of Concents, optional infrastructural component purposed with securing the network and allowing software developers to implement custom licensing logic
Then Intel SGX technology was shown as a potentially good fit with regard to both nondeterministic verification and decentralization of Concent

in other use-cases:
Machine Learning
Machine Learning - Verification
Proof of Work