Topic: machine learning

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

Sonatype builds automated malware prevention for open-source libraries

New versions of open-source components are being released every day at an overwhelming and alarming pace. According to the open-source governance company Sonatype, approximately 20,000 component updates are made per day, making it near impossible for teams to manually manage dependencies. In addition, open-source projects that are impacted by attacks are difficult to detect because … continue reading

New AI platform tackles 10 steps of AutoML

A new artificial intelligence platform wants to automate the machine learning process for data scientists and developers from data to impact. AI company Aible announced Aible Advanced, an AutoML solution designed to generate predictive models for businesses.  According to the company, legacy AutoML solutions don’t provide proper access for both developers and data scientists, and … continue reading

SD Times news digest: Amazon Forecast now available, GitHub supports WebAuthn for security keys, and Qt for MCUs

AWS announced the general availability of Amazon Forecast, which enables developers to build applications with the same machine learning technology used by Amazon.com for forecasting business conditions.  According to the company, Amazon Forecast automatically discovers how variables such as product features, seasonality and store locations affect each other and can make predictions that are up … continue reading

PyTorch 1.2 released with new and improved TorchScript environment

The open-source machine learning framework PyTorch is tackling production usage in its latest release. PyTorch 1.2 features an update to the TorchScript environment. TorchScript enables users to create serializable models from PyTorch code and can be saved from a Python process.  The new improvements are designed to make it easier to ship production models, expand … continue reading

1 3 4 5 6 7 28
DMCA.com Protection Status