Microsoft’s Project Brainwave accelerates deep learning in Azure
Using FPGAs deployed throughout the Azure cloud, Microsoft’s new system for accelerating deep learning poses a challenge to Google’s TPUs
Stories by Serdar Yegulalp
How Python makes programming simple
Perfect for IT, Python simplifies many kinds of work, from system automation to working in cutting-edge fields like machine learning
What is Rust? Safe, fast, and easy software development
The Rust language’s unique approach results in better code with fewer compromises than C, C++, Go, and the other languages you probably use
Amazon joins Kubernetes-focused CNCF industry group
Amazon has joined the consortium that supports Kubernetes and the world of containers in the cloud, though its Kubernetes intentions are unclear
IBM speeds deep learning by using multiple servers
IBM's Distributed Deep Learning spreads model training across any number of hardware nodes—as long as they’re IBM nodes
Azure Container Instances: No Kubernetes required
Microsoft's new container service offers a middle ground between Azure Functions and Azure Container Service, with orchestration optional but available
Red Hat's Boltron snaps together a modular Linux server
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
How to get started with Python
How to pick the right Python distribution, the right Python IDE, and the right supporting tools to jumpstart your Python programming
Sorry, Golang 2 probably won't add your 'missing' feature
Now is your chance to ask for new Go features, though Golang's conservative design philosophy will likely keep changes to a minimum
Apache Spark 2.2 gets streaming, R language boosts
The latest additions to Apache's all-in-one in-memory processing framework simplify stream processing and flesh out support for the R language
How to get started with Kubernetes
From Hello Minikube to Kubernetes Anywhere to example microservices apps, the options for learning Google’s container orchestration tool abound
Hotspot brings GUI to Linux Perf data
Hotspot frees the analysis of Linux performance data from static, text-based reports with an interactive, eye-opening GUI
Google open-sources TensorFlow training tools
Tensor2Tensor simplifies deep-learning model training so developers can more easily create machine learning workflows
Core ML brings machine learning to Apple developers
Apple's Core ML frameworks provide a standardized -- if limited -- way to embed machine learning into Mac and iOS apps
Easier, faster: The next steps for deep learning
Rapidly advancing software frameworks, dedicated silicon, Spark integrations, and higher level APIs aim to put deep learning within reach