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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. Read Now
Here's an explanation of variational autoencoders -- one of the fundamental types of deep neural networks -- used for synthetic data generation. Read Now
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. Read Now
The Nvidia A100 delivers as much as a 20x performance boost for AI training and inference. Read Now
With this release, AWS also implemented a new tiered pricing model for Macie. Read Now
Google Research has open sourced the code for its internally developed TAPAS (TAble PArSing) neural network for querying tables using natural language processing (NLP). Read Now
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. Read Now
Determined AI announced last week that it is open sourcing its Deep Learning Training Platform under the Apache 2.0 license. Read Now
Three former Uber employees jumped ship last year to launch their own vessel. Read Now
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