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
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
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
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 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
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
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 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
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
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
Following the latest release of the programming language Python, an updated version of the Python package PyTorch is now available. PyTorch is designed to provide Tensor computation and deep neural networks. PyTorch 1.5 features new and updated libraries as well as new API additions and improvements. A highlight of the release is that the C++ … continue reading
Microsoft has been collecting 13 million work items and bugs since 2001, and used that data to create a machine learning model to fight software bugs. According to the company, the model distinguishes between security and non-security bugs 99% of the time and identify the high-priority bugs 97% of the time. “At Microsoft, 47,000 developers … continue reading
