Posts in category

Machine Learning


“Cloud Wisdom Weekly: for tech companies and startups” is a new blog series we’re running this fall to answer common questions our tech and startup customers ask us about how to build apps faster, smarter, and cheaper. In this installment, we explore how to leverage artificial intelligence (AI) and machine learning (ML) for faster innovation …

There’s an explosion in the number of digital images generated and used for both personal and business needs. On e-commerce platforms and online marketplaces for example, product images and visuals heavily influence the consumer’s perception, decision making and ultimately conversion rates. In addition, there’s been a rapid shift towards user-generated visual content for ecommerce — …

You’re working on a new machine learning problem, and the first environment you use is a notebook. Your data is stored on your local machine, and you try out different model architectures and configurations, executing the cells of your notebook manually each time. This workflow is great for experimentation, but you quickly hit a wall …

Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and …

Since we partnered with the AI community to create the PyTorch framework for AI research six years ago, open collaboration has been essential to its success. With some 2,400 contributors who have built more than 150,000 projects on the framework, PyTorch has become one of the leading platforms for AI research as well as commercial production use. Today, we …

Canonical, the publisher of Ubuntu, announces today the release of Charmed Kubeflow 1.6, an end-to-end MLOps platform with optimised complex model training capabilities.  Charmed Kubeflow is Canonical’s enterprise-ready distribution of Kubeflow, an open-source machine learning toolkit designed for use with Kubernetes. Charmed Kubeflow 1.6 follows the same release cadence as the Kubeflow upstream project. This latest …

Editor’s note: Since launching its Spaces feature, Twitter has demonstrated that hearing people’s voices can bring conversations on Twitter to life in a completely new way. Next, it aimed to make it easier for customers to join and listen to live conversations they personally care about. In this blog, we learn how the Twitter Spaces …

IBM researchers showed that putting the words of multiple speakers into one voice helps AI models pick up the nuances of spoken language. Their algorithm builds on a popular foundation model for speech processing, improving its accuracy and continuing IBM’s efforts to make AI accessible to everyone. IBM researchers showed that putting the words of …

Artificial intelligence (AI) can automatically learn patterns that humans can’t detect, making it a powerful tool for getting more value out of data. A high-performing model starts with high-quality data, but in many cases, datasets have issues such as incorrect labels or unclear examples that contribute to poor model performance. Data quality is a constant …

What’s New: Intel’s collaboration with Aible enables teams across key industries to leverage artificial intelligence and deliver rapid and measurable business impact. This deep collaboration, which includes engineering optimizations and an innovative benchmarking program, enhances Aible’s ability to deliver rapid results to its enterprise customers. When paired with Intel processors, Aible’s technology provides a serverless-first approach, allowing developers to build …