Topic: machine learning
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
PyTorch 1.5 comes with stable C++ frontend API
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 pairs machine learning models to fight software bugs
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
TensorFlow Lite gets machine learning model maker
Google has announced the TensorFlow Lite Model Maker. TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models to datasets with transfer learning. “It wraps the complex machine learning concepts with an intuitive API, so that everyone can get started without any machine learning … continue reading
SD Times news digest: AWS DeepComposer, React Native 0.62, and Nim programming language 1.2
Amazon announced AWS DeepComposer is now generally available. The company first announced the machine learning solution at AWS re:Invent last year. AWS DeepComposer includes in-console training that enables users to train generative models without having to write any machine learning code. In addition, the composer is powered by Generative Adversarial Networks (GANs) and allows users … continue reading
