Kubeflow, an open source machine learning (ML) platform for working with Kubernetes, was the target of a recent cryptocurrency mining attack in which a malicious container was deployed on tens of Kubernetes clusters within two hours.
Researchers at MIT and NYU took down the widely used "80 Million Tiny Images" dataset created to train machine learning systems because it was found to contain a range of racist, sexist and otherwise offensive image labels.
- By John K. Waters
- 07/07/2020
The increasing demand for millions of chest X-rays (1.44 billion annually by one estimate) brought on by the COVID-19 pandemic is straining the resources of radiology departments around the world.
- By John K. Waters
- 07/07/2020
Digital.ai has added two more companies: Numerify, an AI analytics solutions firm, and Experitest, a continuous quality provider.
- By John K. Waters
- 06/23/2020
Udacity collaborates with Microsoft to provide scholarships for new Machine Learning Nanodegree program in Microsoft Azure.
- By John K. Waters
- 06/15/2020
Virtualization kingpin VMware is updating its flagship VMware VSphere 7 offering, providing the ability to provision elastic infrastructure for artificial intelligence (AI) and machine learning (ML) applications.
In-memory computing platform provider Hazelcast is upping its edge-computing game again in the latest release of its real-time event streaming engine, Hazelcast Jet. In addition to some platform performance improvements, the company has added two new operators to simplify deployments within containers.
- By John K. Waters
- 06/01/2020
DarwinAI, a Kitchener-Waterloo-based artificial intelligence startup, announced a strategic collaboration with Lockheed Martin to improve the global aerospace company's customers' understanding of AI solutions.
- By John K. Waters
- 06/01/2020
Microsoft took the wraps off a new supercomputer that it developed with, and exclusively for, OpenAI, an artificial intelligence company based in San Francisco. Hosted in Microsoft's Azure datacenters, it was created to train extremely large AI models.
In preview since December, the machine-learning-powered service is designed to recognize and accurately reply to natural language queries, providing a more intuitive way to search.
The Nvidia A100 delivers as much as a 20x performance boost for AI training and inference.
- By John K. Waters
- 05/15/2020
With this release, AWS also implemented a new tiered pricing model for Macie.
Google Research has open sourced the code for its internally developed TAPAS (TAble PArSing) neural network for querying tables using natural language processing (NLP).
- By John K. Waters
- 05/13/2020