For developers looking to more easily parallelize their machine learning  workloads with Kubernetes, the open source project Kubeflow has reached version 1.0 this week.

The project was first open sourced in December 2017 at KubeCon+CloudNativeCon and has since grown to hundreds of contributors from more than 30 participating organizations such as Google, Cisco, IBM, Microsoft, Red Hat, Amazon Web Services and Alibaba. Alongside the blog post from the Kubeflow team itself, Google has offered a post on how Kubeflow works with Anthos, while IBM’s Animesh Singh explores the “highlights of the work where we collaborated with the Kubeflow community leading toward an enterprise-grade Kubeflow 1.0.”

Steve Lee and Richard Lander discuss how the PowerShell and .NET Teams are working more closely together bringing better compatibility and performance.

PowerShell 7 is the latest major update to PowerShell, a cross-platform (Windows, Linux, and macOS) automation tool and configuration framework optimized for dealing with structured data (e.g. JSON, CSV, XML, etc.), REST APIs, and object models.

The wide array of options for body scanning have improved patient outcomes, but the process of image interpretation is still labor intensive.

Here’s an interesting article on applying AI to the problem.

Malignant brain tumors are one of the most deadly forms of cancer, partially due to the dreadful diagnosis, but also because of the direct consequences on decreased cognitive function and lasting adverse impact on the quality of life of the patient.