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Tag: TensorFlow

New Open-Source Projects Emerge for Machine Learning

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…

Anaconda Enterprise Now Supports GPU Clusters

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…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

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…

Databricks Open Sources MLflow to Simplify Machine Learning Lifecycle

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…

Project Hydrogen Unites Apache Spark with DL Frameworks

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…

Intel Adds Memory to Deep Learning for Drug Discovery

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…

Google Unleashes TPUs on Cloud ML Engine

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…

Presto Use Surges, Qubole Finds

Apr 18, 2018 |

Don’t look now, but Presto, the SQL engine developed by Facebook as a follow-on to Hive, is starting to catch on in a big way. According to a new survey of big data-as-a-service customers by Qubole, Presto logged impressive usage gains during 2017, and outgrew Hive and Spark across many metrics. Read more…

ParallelM Aims to Close the Gap in ML Operationalization

Feb 21, 2018 |

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production.

Dubbed MLOps, ParallelM‘s software helps to automate many of the operational tasks required to turn a machine learning model from a promising piece of code running nn Spark, Flink, TensorFlow, or PyTorch processing engines into a secure, governed, and production-ready machine learning system. Read more…

Snowflake Taps Qubole for Deep Machine Learning in the Cloud

Feb 13, 2018 |

Organizations storing big data in Snowflake’s cloud data warehouse can now run machine learning and deep learning algorithms against that data thanks to a new partnership with Qubole.

The two companies today announced a partnership that will allow Qubole’s big data processing engines, including Apache Spark and TensorFlow, to read and write data to Snowflake’s data warehouse. Read more…

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