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: PyTorch 1.5

PyTorch has established itself as one of the top two frameworks for deep learning developments. Initially incubated by Facebook, PyTorch rapidly developed a reputation from being an incredibly flexible framework for rapid experimentation and prototyping gaining thousands of fans within the deep learning community. For instance, AI powerhouse OpenAI announced that it was standardizing on PyTorch as the default framework to power its deep learning research work. Outside Facebook, this is arguably the biggest endorsement for PyTorch within the deep learning world.

This week Facebook announced the released of PyTorch 1.5. The new version focuses on providing tools and frameworks to make PyTorch workflows production-ready. The most notable aspect of this release has been the collaboration between AWS and Facebook in two projects: TorchServe for model serving and Torch-Elastic Kubernetes for distributed training. This release contributes greatly to make PyTorch a more viable option for many enterprises starting in their machine learning journey.