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.

The latest additions to Apache's all-in-one in-memory processing framework simplify stream processing and flesh out support for the R language

From Hello Minikube to Kubernetes Anywhere to example microservices apps, the options for learning Google’s container orchestration tool abound

Apple's Core ML frameworks provide a standardized -- if limited -- way to embed machine learning into Mac and iOS apps

Rapidly advancing software frameworks, dedicated silicon, Spark integrations, and higher level APIs aim to put deep learning within reach

With machine learning now a major market for GPUs, AMD wants a piece of that action — and an end to Nvidia’s essential monopoly

You’ll be dependent on TensorFlow to get the full advantage, but you’ll gain a true end-to-end engine for machine learning

The direct integration with the code-hosting platform to make things easier for devs -- but also ties them more closely to GitHub

More async support, more type-hinting power, more speed, and more efficient memory usage top a long list of useful additions to Python

Admins and developers alike have a whole cadre of new tools to make their jobs easier in the latest update to GitHub's enterprise-grade edition

It isn't just offered as a service, either; the open source underpinnings can be downloaded and deployed, and integration with other code hosting services is on the roadmap

Python 3 will overtake Python 2 in library support in a few months, according to Microsoft's statistical analysis

CompTIA's annual report of tech employment has California topping all other states by wide margins in nearly every sector

Alluxio's storage API features support for Amazon S3, Google Cloud Storage, OpenStack Swift, EMC, and NetApp

Salesforce's Aura framework for designing business apps is open source, but you'll have to pay for its drag-and-drop design tools