Topic: machine learning
premium Man and machine learning: Data projects and the opportunities for developers
As businesses increasingly move their operations to the cloud, they’re recognizing the potential to harness the almost limitless compute power available and tap into artificial intelligence and machine learning technologies to deliver insights and value to the business that were previously beyond their reach. Businesses have never been in a better position to create value … continue reading
SD Times new digest: Databricks’ MLflow 1.0, Nim programming language 0.20, and Visual Studio Code 1.35
Databricks has announced its open-source machine learning platform MLflow has reached 1.0. MLflow was announced last year as a way to help data scientists track and share experiments and models. Since then, the project has grown to more than 100 contributors with its PyPl package download rate reaching about 600K a month, the company explained. … continue reading
AWS announces machine learning text and data extraction solution
Amazon wants to make it easier to extract text and data from tables, forms and virtually any document. The company announced its new fully-managed Textract service, which removes the need to manually review or custom code text and data extractions with machine learning. According to the company, traditional OCR technologies can only do so much … continue reading
Google releases four new machine learning APIs for developers
Google wants to improve developers ability to integrate machine learning technology into their applications with the announcement of four new APIs in its ML Kit. The new APIs are object detection, tracking, on-device translation and AutoML Vision Edge. “We see strong engagement from users who use these features and as we are extending ML Kit … continue reading
Managing machine learning
In July 2018 I wrote here about the next evolution of application life-cycle management (ALM), which is extending its reach into the space of DevOps continuous delivery management, helping to extend the reach of full traceability from requirements to deployed code. ALM tools and the art and science of software engineering supporting it have much … continue reading
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
