Topic: machine learning

Amazon aims to democratize deep learning with new library AutoGluon

Amazon has launched a new open-source library that will make it easier for developers to deploy machine learning models. With AutoGluon, Amazon aims to help developers deploy their models using just a few lines of code.  “We developed AutoGluon to truly democratize machine learning, and make the power of deep learning available to all developers,” … continue reading

Continuous Deployment for ML: The new software development life cycle

The new software development life cycle means working out ways to adapt the SDLC for your machine learning workflow and teams. With data scientists currently spending large chunks of their time on infrastructure and process instead of building models, finding ways to enable the SDLC to work effectively with machine learning is critical for not … continue reading

SD Times Open-Source Project of the Week: Ray

Ray is an open-source distributed framework that makes it easy to scale applications and to leverage machine learning libraries. The project was developed by the distributed programming platform company Anyscale. Ray includes three libraries for accelerating machine learning workloads: Tune, RLlib and Distributed Training. According to the company, the machine learning libraries give developers the ability … continue reading

Implications and practical applications for AI and ML in embedded systems

“Civilization advances by extending the number of important operations we can perform without thinking about them.” —Alfred North Whitehead, British mathematician, 1919 Hailed as a truly transformational technology, artificial intelligence (AI) is positioned to disrupt businesses either by enabling new approaches to solving complex problems, or threatening the status quo for whole business sectors or … continue reading

Report: Interest in AI continues to skyrocket

The Human-Centered Artificial Intelligence lab at Stanford University has just released their AI Index 2019 Report. According to the lab, this report is one of the most comprehensive AI studies ever performed.  For the report, the researchers took an interdisciplinary approach in order to discover patterns about AI’s impact on every industry, from national economics … continue reading

Cloudera calls for open standards for MLOps

Cloudera is calling for industry-wide participation in setting open standards for machine learning operations (MLOps) and machine learning model governance. Cloudera believes that community participation in developing these standards will ensure that companies can leverage their machine learning investments and pave a path for the future.  RELATED CONTENT: AI ethics: Early but formative days Ethical … continue reading

SD Times news digest: Amazon announces Rekognition Custom Labs, Scala.js 1.0.0-RC1, and Julia 1.3

Amazon announced Amazon Rekognition Custom Labels, which enables customers to build specialized ML-based image analysis capabilities that detect objects and scenes integral to their specific use case. “Instead of having to train a model from scratch, which requires specialized machine learning expertise and millions of high-quality labeled images, customers can now use Amazon Rekognition Custom … continue reading

Machine learning library Apache SINGA now a top-level project

The Apache Software Foundation announced that the machine learning library Apache SINGA is now a top-level project. The project, which started out at the National University of Singapore, trains large-scale machine learning models over a cluster of machines.  The developers behind the project are currently working on SINGA-lite for deep learning on edge devices with … continue reading

Google brings TensorFlow to the enterprise

Google is bringing its open-source platform for machine learning to the enterprise. According to the company, enterprises that want to use TensorFlow struggle because of the higher demands and expectations they have for running ML workloads.  TensorFlow Enterprise will feature enterprise-grade support, cloud scale performance and managed services. “Together, these services and products can accelerate … continue reading

Netflix open sources polyglot notebook Polynote

Netflix has announced that it is open sourcing Polynote, which, as the name implies, is a polyglot notebook. Polynote provides Scala support, Apache Spark integration, as-you-type autocomplete, and multi-language interoperability with Scala, Python, and SQL. According to Netflix, Polynote will allow data scientists to integrate its JVM-based machine learning platform with Python’s ecosystem of machine … continue reading

Captum in PyTorch 1.3 shows computed feature attributions

PyTorch 1.3 introduces named tensors and mobile model deployment

The open-source machine learning library developed by Facebook continues to evolve. Facebook announced at its PyTorch developer conference PyTorch 1.3 is the latest release of the library, following significant growth in the past year. “PyTorch continues to gain momentum because of its focus on meeting the needs of researchers, its streamlined workflow for production use, … continue reading

TensorFlow 2.0 Diagram

Google expands machine learning capabilities with TensorFlow 2.0 and updates to its Vision AI portfolio

Google is making a number of advances in the area of machine learning this week, from the release of TensorFlow 2.0 to updates to its Vision AI portfolio.  TensorFlow is Google’s open-source machine learning library. Version 2.0 provides an ecosystem of tools for developers and researchers looking to push the boundaries of machine learning and … continue reading

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