Mixture of experts , MoE or ME for short, is an ensemble learning technique that implements the idea of training experts on subtasks of a predictive modeling problem.
In the neural network community, several researchers have examined the decomposition methodology. [...] Mixture–of–Experts (ME) methodology that decomposes the input space, such that e
There are con -cerns about the responsibilities of researchers and developers who use publicly available data to build AI. Copyright measures are not the best way to address these issues, and open licensing is not the best way to safeguard digital rights and uphold ethical behavior. To address the factors that contributed to the misuse of open cont... See more
Inspired by ideas of an uninterrupted flow of knowledge and information and driven by the critique of intellectual property in digital works[14], one of the open movement’s guiding principles became the belief that enabling access to online information resources would have positive social effects and that these benefits would outweigh the interest ... See more
However they identify, when they show up at MozFest and as they stay connected through the year, they are a group of people rolling up their sleeves and working on something roughly akin to a common agenda. Which is really all a social movement is.
Stewards of the information commons – and in particular organizations manag -ing open licensing frameworks and content-sharing platforms – are among those stakeholders who should face the challenge of mitigating risks and harms associ -ated with and caused by the open sharing of content as an information commons. These stakeholders need to collabor... See more
But if our fundamental goal is to create more relationships with each other, to build trust, enable collaboration and unlock creativity, we need to think more widely about the kinds of openness we need. We also need to consider the kinds of technological platforms, legal mechanisms and organisational structures that are necessary to support it.