Topic: machine learning

Microsoft open sources TensorFlow-DirectML

Microsoft has announced it is open sourcing its extension of TensorFlow for Windows. The source code for TensorFlow-DirectML is now available on GitHub.  “TensorFlow-DirectML broadens the reach of TensorFlow beyond its traditional Graphics Processing Unit (GPU) support, by enabling high-performance training and inferencing of machine learning models on any Windows devices with a DirectX 12-capable … continue reading

end to end view of Google’s MLOps services

Google announces new services to simplify MLOps

Google has announced a new set of services aimed at simplifying Machine Learning Operations (MLOps) for data scientists and machine learning (ML) engineers. According to Google, companies are using machine learning to solve challenging problems, but machine learning systems can create unwanted technical debt if it is not managed well. Google noted that machine learning … continue reading

AWS CodeGuru makes intelligent recommendations about code quality

AWS has released a new developer tool powered by machine learning. CodeGuru provides intelligent recommendations for improving code quality and lowering operational costs. “Our customers develop and run a lot of applications that include millions and millions of lines of code. Ensuring the quality and efficiency of that code is incredibly important, as bugs and … continue reading

SD Times Open-Source Project of the Week: MLflow

MLflow, the open-source machine learning platform created by Databricks, has joined the Linux Foundation. The version update MLflow 1.9.1 was also released this week with bug fixes and improvements. The project has seen more than two million downloads per month and is growing fourfold every year. The project was first introduced at Spark + AI … continue reading

Android development team releases new ML Kit SDK

The Android development team is adding new features to its ML Kit, which is currently being used in over 25,000 iOS and Android apps.  ML Kit is the company’s solution for integrating machine learning into mobile applications. It was launched in 2018 at its I/O conference. The team is introducing a new SDK that doesn’t … continue reading

SD Times Open-Source Project of the Week: Code Defect AI

Altran announced this week a new machine learning open-source tool for finding bugs. Code Defect AI is designed to help developers find bugs earlier and minimizes the cost and time required to fix them. By applying machine learning (ML) to historical data, the tool identifies areas of the code that are potentially buggy and then … continue reading

Amazon releases Kendra to make sense of unstructured enterprise data

Amazon has announced its enterprise search service Kendra is now available. Kendra is powered by machine learning, and designed to help enterprises index, search, and gain insight across their data silos.  The company explained the solution is built to provide high-quality results to natural language queries instead of a random list of links in response … continue reading

SD Times news digest: Swift adds more linux distributions, Databricks University Alliance, and MemSQL announces $50 million funding

Swift added a new set of Linux distributions officially supported by the Swift project. Swift.org now offers downloadable toolchain and Docker images for Ubuntu 20.04, CentOS 8, and Amazon Linux 2. Swift CI has moved to use Docker to build and qualify the new Linux distributions. A Dockerfile has been created for each one of … continue reading

SD Times news digest: Cloudera announces new ML capabilities, Flutter 1.17 released, and Tableau 2020.2

Cloudera announced an expanded set of machine learning capabilities is now available in the Cloudera Machine Learning (CML). Capabilities include new MLOps features and Cloudera SDX for models.  “Data scientists, machine learning engineers, and operators can collaborate in a single unified solution, drastically reducing time to value and minimizing business risk for production machine learning … continue reading

Google to replace TensorFlow’s runtime with TFRT

Google has announced a new TensorFlow runtime designed to make it easier to build and deploy machine learning models across many different devices.  The company explained that ML ecosystems are vastly different than they were 4 or 5 years ago. Today, innovation in ML has led to more complex models and deployment scenarios that require … continue reading

Tecton.ai emerges from stealth to solve machine learning pipeline challenges

A new machine learning startup has been launched by the creators of Uber’s Michelangelo machine learning platform. Tecton.ai is a data platform for machine learning that lets data scientists transform raw data into production-ready features. The company is founded by CEO Mike Del Balso, CTO Kevin Stumf, and VP of Engineering Jeremy Hermann. The three … continue reading

AWS Augmented Artificial Intelligence adds human review to machine learning predictions

Amazon’s Augmented Artificial Intelligence (A21) platform is now generally available. It is a fully managed service designed to make it easy for developers to add human review to machine learning predictions so that they can review low confidence predictions made by AI.  According to Amazon, the solution can be used to help the machine extract … continue reading

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