Topic: machine learning

SD Times news digest: WhiteSource’s integration with Bitbucket Server, Databricks Runtime for Machine Learning, and Android’s ML Kit updates

WhiteSource has announced a new integration with Atlassian Bitbucket Server that will provide developers with real-time alerts on open-source vulnerabilities within the Bitbucket UI. The integration will also automatically create fix pull requests, which will help speed up the remediation process. “The WhiteSource Bitbucket Server Integration is the latest step in our mission to help … continue reading

SD Times news digest: Topaz for Total Test updates, Splice Machine’s ML Manager, and Google Play Developer API updates

Compuware has announced enhancements to its Topaz for Total Test solution. The solution now offers unit, functional, integration, and regression testing capabilities. These new capabilities will enable organizations to shift their testing practices to the left. “Automated testing was the missing link to true mainframe Agility and DevOps. Without it, large enterprises found it difficult … continue reading

SD Times news digest: Instana’s new monitoring and tracing capabilities, Synopsys’ embARC, and Facebook Fizz DoS vulnerability

Instana has added monitoring and tracing support for NGINX and Envoy Application Proxies. This will provide developers with performance visibility and individual traces for every transaction in the browser. This data is automatically captured and integrated with Instana’s sensor and tracing technologies, the company explained. “While Application Proxies are an important part of creating on-demand … continue reading

TensorFlow to expand AI capabilities into mobile, IoT, JavaScript

It has been three years since the open-source machine learning platform TensorFlow was launched, and now the team is announcing new and ambitious plans for the AI library. The TensorFlow Developer Summit took place in Sunnyvale, CA this week, where the TensorFlow team announced the alpha version of Tensor 2.0, TensorFlow.js 1.0, TensorFlow Lite and … continue reading

Biotech firms turns to open source for speed

Founded 10 years ago by a group of MIT scientists, Massachusetts-based biotech firm Ginkgo Bioworks has found great success in leveraging a number of open-source technologies to speed up and automate a wide variety of synthetic biology laboratory tasks. The organization’s main focus is the genetic engineering of compound-producing bacteria for a range of industrial … continue reading

New open-source project introduces code-free deep learning approach

Uber’s AI engineering team wants to make deep learning more accessible with the open-source release of Ludwig. The deep learning toolbox based on TensorFlow aims to give users the ability to train and test deep learning models without having to write any code. “Ludwig is unique in its ability to help make deep learning easier … continue reading

Can developers make AI’s “black box” transparent?

Across industries, machine learning is augmenting and in some cases taking the place of human decision-making. In recruiting, legal sentencing, loan approvals and even college admissions, algorithms now play a part in determining candidate selection. The science behind AI provides a more efficient approach to complex decision-making. However, for those without a PhD in mathematics … continue reading

Transform-XL from Google makes long-term context in neural networks more practical

Google has proposed a new approach to natural language understanding architectures beyond a fixed-length context. Transformer-XL aims to make long-range dependence more practical in neural networks by using attention models. According to the company, long-range dependence is the contextual ability humans have to parse information that depends on something they’d read much earlier in a … continue reading

SD Times news digest: GitHub’s top machine learning languages, Ping’s API cybersecurity solution, and Lumigo’s serverless app funding

GitHub has released machine learning data from its 2018 State of the Octoverse report. According to the report, the top programming languages for machine learning on GitHub include Python, C++, JavaScript, Java and C#. In addition, the team took a look at the top machine learning projects on GitHub, which included TensorFlow, SciKit-Learn, spaCy, Julia … continue reading

SD Times news digest: ML.NET 0.9, GDPR.eu, and Improbable’s response to Unity

Microsoft has announced ML.NET 0.9, the latest version of the open-source, cross-platform machine learning framework for .NET. ML.NET enables developers to leverages existing tools to build custom AI into their applications by creating machine learning models. Models can be created targeting common tasks including classification, regression, clustering, ranking, recommendations, and anomaly detection. ProtonMail launches new … continue reading

Ethics at the fore of AI conversations

As the end of 2018 approached, many artificial intelligence technologies like visual testing, chatbots and language recognition had matured to the point of ubiquity. Two years since SD Times’ “Year of AI,” the conversations around AI and machine learning have shifted further and further away from potential applications and surprising new uses of the tech. … continue reading

Apache Ignite 2.7 adds new integration with TensorFlow’s deep learning framework

Apache Ignite 2.7 is adding new deep learning and extended languages support with the announcement of its TensorFlow integration and support for Node.js, Python and PHP. Ignite is a distributed database, caching and processing platform for transactional, analytical and streaming workloads. TensorFlow is an open-source software library for deep learning and machine learning tasks. The … continue reading

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