In announcing the Spring '19 release of its low-code/no-code software development tooling, Mendix touted the second generation of its artificial intelligence engine to help with code completion suggestions and other AI assistance.
Microsoft's open source, cross-platform ML.NET machine learning framework is now one step away from general availability, which could come as soon as next month following the newly available Release Candidate.
In announcing an update to its open source F# functional programming language, Microsoft indicated future releases will better support machine learning projects.
According to job site Indeed.com, "machine learning engineer" is the best job of 2019, with a growth of 344 percent over the last year and an average base salary of $146,085.
Google-owned DeepMind today released a "large-scale extendable dataset of mathematical questions for training neural models that can reason algebraically."
They feature Intel Deep Learning Boost, designed to support artificial intelligence (AI) and machine learning workloads, and offer "significant" processing speed boosts on the embedded level.
The Amazon cloud, hearing that customers wanted to simplify the complicated and time-consuming process of manually using Amazon Web Services to deploy TensorFlow workloads, announced a new managed service to do just that, and more.
In the war for artificial intelligence cloud dominance with the likes of Amazon AI and Google AI, Microsoft's Azure AI team today fired off a salvo that boosts its Cognitive Services offering.
Catherine Havasi, a visiting scientist at MIT and group director at the Media Lab focused on natural language processing and people analytics, is on a mission to help computers understand the world more like a person and less like a machine.
- By John K. Waters
- 03/20/2019
Microsoft updated its open source machine learning framework, ML.NET, to version 0.11 and offered up an engineer to help developers make it work in a production environment.
Coming hot on the heels of the much anticipated TensorFlow 2.0 alpha release, TensorFlow Privacy is an open source library designed to make it easier for developers to train machine-learning models with privacy.
- By John K. Waters
- 03/13/2019
New features in version 0.16 include support for Spark's deep learning pipelines and name entry recognition cognitive service.
Enterprise artificial intelligence (AI) platform vendor Dataiku announced this week that it has updated its namesake platform to version 5.1.