Last Week in AI

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: Machine Learning Frameworks for Mainstream Developers

Machine learning is, without a doubt, one of the most important skills to master for software developers. However, machine learning is still perceived as a discipline that requires a deep computer science and mathematical knowledge. That same perception is preventing mainstream developers to deep dive into machine learning which is hurting the growth in the space.

For machine learning to go mainstream, we need the adoption of frameworks by mobile and web developers and for that we need simpler frameworks. Recently, Google Research published a study outlining some guidelines for the design of machine learning frameworks that can be adopted by a broader range of developers. Capabilities such as model reuse, best practices abstractions or simply better tooling made it to the top of the list. One thing is certain, mainstream machine learning adoption will require a different type of framework.

Now let’s take a look at the core developments in AI research and technology this week: