Tag: TensorFlow
Oct 10, 2018 |
The latest release of Microsoft’s machine learning framework incorporates a new API intended to help .NET developers train models for improved predictions in uses cases like image classification and speech translation. Read more…
Sep 24, 2018 |
Industrial applications such as asset management and infrastructure inspection are among the roles being assumed by AI-based drones. Those aerial platforms are growing in sophistication with the addition of improved computer vision and deep learning technologies that can handle everything from dangerous infrastructure inspections to mundane asset tracking tasks. Read more…
Sep 12, 2018 |
The latest release of analytics startup Dataiku’s platform incorporates application container and orchestration capabilities along with expanded support for deep learning libraries to help launch enterprise AI project at scale. Read more…
Aug 30, 2018 |
Two open-source projects contributed by Chinese tech giants Baidu and Tencent will focus on machine and deep learning advances with the long-term goal of making the AI technologies easier to use while advancing cloud services using deep learning frameworks. Read more…
Jul 17, 2018 |
Organizations that need to train machine learning models on massive amounts of data may be interested in the latest release of Anaconda Enterprise, which adds support for training on GPU clusters. Read more…
Jun 25, 2018 |
Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists.
Any time you require some highly skilled, highly paid practitioner to accomplish something of value, you’ve introduced a bottleneck into that process. Read more…
Jun 5, 2018 |
Databricks today unveiled MLflow, a new open source project that aims to provide some standardization to the complex processes that data scientists oversee during the course of building, testing, and deploying machine learning models. Read more…
Jun 5, 2018 |
The folks behind Apache Spark today unveiled Project Hydrogen, a new endeavor that aims to eliminate barriers preventing organizations from using Spark with deep learning frameworks like TensorFlow and MXnet. Read more…
May 31, 2018 |
A drug discovery technique called “high content” screening analyzes data in microscopic images used to determine the effects of genetic and chemical treatments on cell cultures. However, the processing-intensive analysis of sets of thousands of pre-defined features can take half a day. Read more…
May 21, 2018 |
As the amount of machine learning training data soars, so too does demand for new tools that will accelerate the process. With that in mind, Google Cloud announced the beta release of a new feature that allows users to speed training by running Tensor processing units (TPU) on its machine learning engine. Read more…
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