Google Cloud Platform recently announced the beta release of Google Deep Learning Containers, a family of preconfigured Docker containers outfitted with deep learning frameworks and tools.
- By Michael Desmond
- 07/10/2019
This week Compuware announced that it is integrating its machine-learning-driven zAdviser analytics tool with is ISPW mainframe continuous integration/continuous delivery (CI/CD) product to provide DevOps-related and other insights.
- By John K. Waters
- 07/02/2019
InfoSphere Advanced Data Preparation promises to help enterprises transform "raw" datasets into useful information that can be used for machine learning and other data projects.
Microsoft on June 25 announced the open source release of TensorWatch, a debugging and visualization tool for deep learning projects that helps manage the increasing complexity, depth and training requirements of AI models.
- By Michael Desmond
- 06/28/2019
Kaloom's flowEye offering is a real-time, artificial intelligence (AI)-powered, in-band network telemetry (INT) and analytics solution that traces actual packet routes as they travel through the datacenter.
- By John K. Waters
- 06/20/2019
MSDN Magazine columnist and former Microsoft evangelist Frank La Vigne talks about his transition into the realm of artificial intelligence and machine learning, and what developers need to know to make a transition of their own
- By Michael Desmond
- 06/19/2019
IBM this week extended its effort to make artificial intelligence (AI) and machine learning (ML) more accessible, with the release of AutoAI for IBM Watson Studio.
- By Michael Desmond
- 06/19/2019
Companies processing data in real time for AI and machine learning use cases appear to be kicking adoption into high gear, despite concerns about a dearth of developer expertise.
- By John K. Waters
- 06/11/2019
Three months after the alpha version of TensorFlow 2.0 was released, the developers behind the popular Google Brain-created open source machine learning framework have announced that the beta version is now available.
The annual number of AI edge processor shipments (versus sales) is expected to reach 1.5 billion units in the year 2023, according to research publisher IDC.
With artificial intelligence technology impacting nearly every aspect of IT and datacenter operations, a new survey on the software-defined networking (SDN) movement reaffirms AI's influence on new-age networking.
Nvidia EGX has been architected to provide as much low-latency performance as possible, the company said, offering "real-time" "continuous streaming" ability.
The breakthrough could lead to the faster operations and lower power that technologies like artificial intelligence, edge and quantum computing will require in the coming years.