Evaluation of Privacy-Preserving Technologies for Machine Learning
With vast amounts of data available to us today, the question of privacy and responsible handling of this data becomes increasingly critical. Not only is data privacy required by law in some cases, e.g., for medical or financial data. Additionally, the desire of customers and clients for discretion and privacy is growing and has become a topic of public focus.
Making Things Happen in Crypto: Developers, Developers, Developers!
The long-term success of token economies and the protocols they are built around is led by fundamentals, and ultimately adoption. How useful is the protocol, to how many end users? This question is fundamental to our vision of the Convergence Economy.