Machine learning may sound futuristic, but it’s not. Speech recognition systems such as Cortana or Search in e-commerce systems have already showed us the benefits and challenges that go hand in hand with these systems. In our machine learning series we will introduce you to several tools that make all this possible. Third stop: HTM (Hierarchical Temporal Memory), Numenta’s machine intelligence technology.
Mesosphere announced new partnerships with Lightbend, DataStax and Confluent, Container 2.0 and DC/OS 1.8. It’s time to take a better look at DC/OS 1.8.
I learned the hard way building PaaS and SaaS frameworks, and perhaps there is no easy way, but here are some tips on how you can move beyond CI to CD by taking advantage of Jenkins Workflow.
Who makes the decisions about software architecture in your company? Is it the management? Specialized software architects? Special team members maybe or external consultants? Vote now!
All Eclipse packages are now shipped with the Automated Error Reporting client (AERI). In this article Andreas Sewe, CTO at Codetrails, points out that it’s been a year since AERI became part of the Eclipse packages and looks back at how the Automated Error Reporting Initiative has helped fix Eclipse project bugs.
The trading platform of Hong Kong cryptocurrency exchange Bitfinex is now offline after almost 120,000 bitcoins have been stolen from Bitcoin wallets. Bitcoin price plunged following the hack.
Mesosphere has stepped into the era of Container 2.0. Although Container 1.0 is “a useful conversation starter and a great way to get people interested in building with containers, it’s actually of limited utility.” Meet Container 2.0.
After Oracle’s president of product development Thomas Kurian told InfoWorld that the company has not abandoned Java EE and that it is planning to move it to the cloud, we asked Lukas Eder, a Java and SQL aficionado, to comment on the latest revelations about the battle for enterprise Java.
Testing is a very important part of a development process that allows to achieve the level of quality which enables the product to be released commercially. However, thoroughly going through every potential risk and covering it with test cases can take a long time. Often developers are forced to find the right balance between the time spent on testing and a release date.
It’s very easy for organizations to pick good practices from forward-looking companies and put them here and there, but truly effective teams are those that constantly question the status quo. We asked Eduards Sizovs, the leader of the Latvian Software Craftsmanship Community, to comment on the myth of one-size-fits-all Continuous Delivery, the importance of automation and more.
The Swift 3 release is just around the corner, but we already have a glimpse into Swift 4 thanks to Apple’s Chris Lattner, who wrote some observations about Swift 3 in a note to the Swift mailing list and offered a sneak peek into Swift 4.
Each Monday we take a step back and analyze what has happened in the previous week. Last week we witnessed the launch of Prometheus 1.0, Mesos 1.0 and Spark 2.0, we discovered why Go is a beloved programming language and we dived deep into machine learning.
Machine learning may sound futuristic, but it’s not. Speech recognition systems such as Cortana or Search in e-commerce systems have already showed us the benefits and challenges that go hand in hand with these systems. In our machine learning series we will introduce you to several tools that make all this possible. Second stop: MLlib, Apache Spark’s scalable machine learning library.