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By John K. Waters
Launchable, which emerged from stealth mode on Thursday, is developing a SaaS product that uses machine learning to predict the likelihood of a failure for each test case, given a change in the source code.
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By John K. Waters
The End of Life (EOL) deadline for Python 2 arrived with the new year, and the CPython core development community is urging users to migrate to Python 3 as soon as possible.
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By John K. Waters
Qualcomm Technologies unveiled a new autonomous driving solution that combines its Snapdragon family of automotive systems-on-chip (SoCs) with a purpose-built software stack.
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The 2019 edition of the AI Index Report takes an in-depth look at the state of AI in nine areas, including research and development, education, technical performance and the economy.
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By John K. Waters
Unveiled by AWS CEO Andy Jassy, the new CodeGuru service uses models and algorithms built on millions of code reviews Amazon has done in-house over the last 20 years.
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It's been up, it's been down, but the venerable Java closes out 2019 at the top of the TIOBE Index as December's most popular programming language.
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By John K. Waters
The latest release of Hazelcast's namesake Java-based in-memory data grid (IMDG 4.0) has been optimized for Intel Optane DC Persistent Memory.
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Broadcom Inc. announced that its open automation.ai platform is being used in conjunction with Infosys technology to create Continuous Testing for SAP S/4HANA, a new product for enterprises upgrading to the S/4HANA version of SAP's ERP.
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OpenAI on Tuesday released GPT-2 (1.5B), the "final model" release of this version of its popular large-scale unsupervised language model.
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By Richard Seeley
The Open Data Group (ODG) this week announced it's re-launching as ModelOp, reflecting the importance of modeling to artificial intelligence and machine learning implmentations.
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On Thursday the developers of PyTorch announced PyTorch Mobile, which they say will allow for "end-to-end workflow from Python to deployment on iOS and Android."
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By Richard Seeley
Even for development teams with an agile practice, testing, especially testing of a constantly evolving user interface can be a bottleneck if test scripts have to be manually rewritten to account for even trivial changes like the placement of the log-in button.
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By Richard Seeley
Integrating DataOps, artificial intelligence and machine learning, Hitachi Vantara is touting Big Data technology in announcing its Lumada Manufacturing Insights, a suite of Industrial Internet-of-Things products.
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By Richard Seeley
Spending on artificial intelligence hardware and software is predicted to expand two-and-a-half times from current expenditure of $37.5 billion to $97.9 billion, according to a new report by IDC.
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By Richard Seeley
Microsoft on Tuesday announced the general availability of the Vision AI Developer Kit, including a camera, which uses Qualcomm's Vision Intelligence 300 Platform, and the software needed to develop intelligent edge solutions using Azure IoT Edge and Azure Machine Learning.
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The Amazon cloud is continuing its mission "to put machine learning in the hands of every developer" with new functionality for AWS Amplify, a back-end development framework for mobile and Web apps.
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By John K. Waters
Microsoft Research is unveiling its latest AI initiative: an open source framework that aims to help "democratize AI" by leveraging a blockchain-based back end.
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A company called Mesmer has emerged from stealth mode with Intel-backed funding and a plan to relieve mobile app developers from the drudgery of customer experience software testing, putting AI-powered bots to the task.
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By John K. Waters
Compuware is integrating its machine-learning-driven zAdviser analytics tool with is ISPW mainframe continuous integration/continuous delivery (CI/CD) solution.
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IBM says AutoAI for IBM Watson Studio is designed to let users quickly scale ML experimentation and deployment processes.
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By John K. Waters
Oracle has updated its Exadata Database Machine X8 server line with hardware and software enhancements enabled by artificial intelligence (AI) and machine learning (ML), the company announced recently.
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The future Silicon Valley-based Big Data unicorn MapR appears to be in crisis.
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Google announced several updates to its Firebase mobile development platform, which provides back-end functionality such as Crashlytics crash reporting, app analytics, machine learning capabilities, performance monitoring and more.
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On Thursday Microsoft announced a number of improvements to its Azure cloud platform designed to give developers increased capabilities for AI, machine learning, mixed reality, blockchain and Internet of Things (IoT) solutions, via both hybrid cloud and edge architectures.
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Google's updated ML Kit, which packages up the company's machine learning expertise and technology for mobile developers creating Android or iOS apps, has been beefed up with Natural Language Processing functionality and more.