Amazon Web Services (AWS) this week described new ways for developers add artificial intelligence (AI) functionality to their applications, even if they don't have extensive machine learning knowledge.
Amazon Web Services, which has been using artificial intelligence to improve its services for more than 20 years, is now giving everyone access to the machine learning courseware used internally to train its engineers.
In his new book, "Architects of Intelligence: The Truth About AI from the People Building It", Martin Ford assembles a fascinating series of in-depth, one-on-one interviews with 23 of the world's leading researchers and entrepreneurs working in various aspects of the fields of AI and robotics.
- By John K. Waters
- 11/26/2018
The Dallas-based mobile threat defense specialist announced an update of its zIAP software development kit to provide in-app protection that gets smarter as it learns.
A new telecommunication service -- along with several other recent offerings -- exemplify the cloud leader's emphasis on using AI to enhance its products.
Most of the Firebase machine learning functionality is provided by ML Kit, a beta offering that simplifies the use of ML for enterprise app developers at all levels.
Artificial intelligence projects were front and center in GitHub's new Octoverse report examining the past year's activity on the open source development platform and code repository.
The new platform is designed to enable companies to manage their AI implementations through the full AI lifecycle, regardless of the environments in which they were built or on which they run.
- By John K. Waters
- 10/22/2018
A report released this week found that larger organizations are happier with their machine learning apps than smaller companies.
- By Richard Seeley
- 10/17/2018
Parasoft SOAtest now comes with new machine learning techniques that augment the tool's Smart API Test Generator.
- By John K. Waters
- 10/16/2018
The Amazon Web Services cloud platform recently made several updates to its SageMaker service for creating and working with machine learning models.
On Friday, Microsoft announced that Infer.NET, a cross-platform framework for model-based machine learning, is now open source and available on GitHub.
Teradata this week announced the launch of Teradata Vantage, a new analytics platform that boasts a built-in machine learning engine, among other features.