ABBYY updates machine learning library – Illinois News Today

Artificial Intelligence
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ABBYY has announced a major update to NeoML, a cross-platform open source machine learning library that allows developers to build, train and deploy machine learning models.Update adds support for Python programming language, The most popular language in machine learning and AI. In addition to 5-10x speedup, the framework also offers more than 20 new ML techniques, including 10 network layers and optimization techniques. In addition, NeoML now supports Apple M1 chips, GPUs on Linux-based machines, and Intel GPUs. This greatly expands the addressable use cases and scenarios of the library, allowing more developers to use the library to build AI-powered applications and solutions.

ABBYY updates machine learning library

A 2020 study by CodinGame found that Python was tied to Java in RedMonk’s quarterly rankings and was the “most beloved programming language.” Python is widely used in all industries for tasks such as automation, web development, scripting, web scraping, and data analysis by companies such as Google, Pinterest, Spotify, and Dropbox. Python is commonly used in academia with students to learn programming, data science, and machine learning. Its versatility is just one of the reasons for its popularity. With the addition of Python support, more developers and organizations can leverage NeoML to build, train, and deploy models for object identification, classification, semantic segmentation, validation, and predictive modeling. You will be able to achieve your business goals. For example, healthcare organizations can streamline management processes, map infectious diseases, and personalize care. Insurers – Predict premiums and losses on insurance policies.

Pretty Speed ​​up NeoML has become one of the fastest machine learning frameworks on the market. It now provides up to 10x faster performance with traditional algorithms and up to 30% faster neural network training and inference than previous versions. Compared to the two most popular open source machine learning libraries, NeoML offers on average 50% faster performance.[1] This allows the framework to have a seamless user experience. Data processing on the device.. One of the main advantages of NeoML is the high efficiency of the cloud. This allows enterprises to get the most out of the available cloud resources.

“Open source is a powerful driver of innovation. Bruce Okat, Senior Vice President of Product Marketing at ABBYY, said: Working with the developer community to further grow the open source library. By improving, we aim to support the advancement of artificial intelligence. “NeoML is a breakthrough for developers, taking advantage of the framework’s high inference speed, platform independence, and mobile device support. It opens up new opportunities to experiment, build and get started with new initiatives. We encourage all developers, data scientists and academia to contribute using NeoML on GitHub. ”

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ABBYY updates machine learning library

Source link ABBYY updates machine learning library

(Excerpt) Read more Here | 2021-06-26 20:32:01

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