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By John K. Waters
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.
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By John K. Waters
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.
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Digital.ai has added two more companies: Numerify, an AI analytics solutions firm, and Experitest, a continuous quality provider.
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Udacity collaborates with Microsoft to provide scholarships for new Machine Learning Nanodegree program in Microsoft Azure.
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By PureAI Editors
PureAI editors reviewed all these sessions and selected five that you might be interested in, regardless of your background, all freely available.
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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.
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By John K. Waters
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.
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By John K. Waters
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.
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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.
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By PureAI Editors
Here's an explanation of variational autoencoders -- one of the fundamental types of deep neural networks -- used for synthetic data generation.
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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.
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By John K. Waters
The Nvidia A100 delivers as much as a 20x performance boost for AI training and inference.
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With this release, AWS also implemented a new tiered pricing model for Macie.
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By John K. Waters
Google Research has open sourced the code for its internally developed TAPAS (TAble PArSing) neural network for querying tables using natural language processing (NLP).
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By John K. Waters
Run:AI, an Israel-based company that specializes in virtualizing artificial intelligence (AI) infrastructure, has claimed an industry first, announcing a fractional GPU sharing system for deep learning workloads on Kubernetes.
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By Richard Seeley
Determined AI announced last week that it is open sourcing its Deep Learning Training Platform under the Apache 2.0 license.
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