Last Week in AI

The newest developments this week in AI research and development.

Every week, Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:

From the Editor: The Challenge of Training at Scale

Training is one of the frequently overlooked elements of building machine learning solutions at scale. While training machine learning models seems relatively simple conceptually, it gets really complicated when applied to large models or to a large number of models. As a result, most organizations struggle getting past certain level of scale in their machine learning solutions given the infrastructure costs.

Despite the proliferation of a new generation of machine learning frameworks, the techniques for scaling the training of models have remained mostly constrained to large technology companies such as Google, Microsoft, Amazon, Uber or Facebook. The great thing is that those companies have started open sourcing some of their methods in the form of libraries and frameworks. Just this week, Uber and OpenAI open sourced Fiber, a new framework for parallelizing computations and training in machine learning models…