Tag: TensorFlow
Mar 17, 2021 |
Hewlett Packard Enterprise announced new cloud infrastructure and analytics products and partnerships this week built around its Ezmeral software portfolio, including a new data fabric integrated into the Ezmeral container platform and machine learning operations. Read more…
Jan 26, 2021 |
As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related PyTorch and Tensorflow software libraries. Read more…
May 1, 2020 |
IBM has released a new open source toolkit with AI extensions to the popular Jupyter Notebooks data science development platform.
The Elyra AI Toolkit extends the industry standard JupyterLab user interface with the goal of simplifying development of AI and other data science models. Read more…
Jan 27, 2020 |
There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker, there’s not a lot to choose from. Read more…
Dec 9, 2019 |
One of the biggest roadblocks that could prevent the widespread adoption of AI is explaining how it works. Deep neural networks, in particular, are extremely complex and resist clear description, which is a problem when it comes to ensuring that decisions made by AI are made fairly and free of human bias. Read more…
Oct 16, 2019 |
The cloud is a hot spot for big data lakes these days, thanks largely to the greater technological simplicity and lower upfront costs of getting started in the public cloud. Read more…
Sep 4, 2019 |
An effort to bring structure and meaning to huge volumes of varied data is being used to improve training of neural networks.
The technique, dubbed Neural Structured Learning (NSL) attempts to leverage what developers call “structured signals.” In model training, those signals represent the connections or similarities among labeled and unlabeled data samples. Read more…
Jul 2, 2019 |
A new AI programming language seeks to ease the process of writing inference algorithms and other predictive models without the hassle of grinding out complicated equations and code.
Among the goals of the probabilistic programming system dubbed “Gen” is making it easier for coding novices to write models and algorithms for broader AI applications such as computer vision and robotics. Read more…
May 22, 2019 |
Facebook has released to open-source developers a deep learning framework that does double duty for computer vision and language tasks.
Built on its PyTorch framework, Facebook is positioning Pythia as supporting “multitasking” for vision and language “multimodal AI models.” Among its capabilities are identifying visual data and automatically generating image captions, company developers said this week. Read more…
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