Amazon has joined the consortium that supports Kubernetes and the world of containers in the cloud, though its Kubernetes intentions are unclear
Stories by Serdar Yegulalp
IBM's Distributed Deep Learning spreads model training across any number of hardware nodes—as long as they’re IBM nodes
Microsoft's new container service offers a middle ground between Azure Functions and Azure Container Service, with orchestration optional but available
The Fedora Modular Server project experiments with a new way to deliver multiple versions of packages side-by-side, each with their own development lifecycles
From Hello Minikube to Kubernetes Anywhere to example microservices apps, the options for learning Google’s container orchestration tool abound
Tensor2Tensor simplifies deep-learning model training so developers can more easily create machine learning workflows
Apple's Core ML frameworks provide a standardized -- if limited -- way to embed machine learning into Mac and iOS apps
With machine learning now a major market for GPUs, AMD wants a piece of that action — and an end to Nvidia’s essential monopoly
From electronic pills to digital tattoos, these eight innovations aim to secure systems and identities without us having to remember a password ever again
Mozilla has its hands in many projects aimed at advancing the Web. Here's our take on the 10 most promising
These 12 historically insidious backdoors will have you wondering what’s in your software -- and who can control it
Box trumps Dropbox, Egnyte, Citrix ShareFile, EMC Syncplicity, and OwnCloud with rich mix of file sync, file sharing, user management, deep reporting, and enterprise integration
Mark Shuttleworth's recent closure of Ubuntu Linux bug No. 1 ("Microsoft has a majority market share") placed a meaningful, if somewhat controversial, exclamation point on how far Linux has come since Linus Torvalds rolled out the first version of the OS in 1991 as a pet project.
Center stage at this year's Google I/O was a company honing its vision for a future beyond search
These tiny systems, ranging from bare-bones boards to full-blown, ready-to-run PCs, are ideal for hackers and hobbyists who want to create their own powerful machines.