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Tag: TensorFlow

Databricks Upgrades Spark Support, Adds ML Runtime

Databricks announced support this week for the latest version of Spark, integrating it into its enterprise analytics platform. Along with support for version 2.4 of the stream processing framework integrated as part of D Read more…

Microsoft Extends ML Framework

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…

Drone Inspections Get an AI Boost

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 comp Read more…

Cloud Tools Rev Up AI Dev Platforms

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 Read more…

New Open-Source Projects Emerge for Machine Learning

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 ser Read more…

Anaconda Enterprise Now Supports GPU Clusters

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. Customers running An Read more…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

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 Read more…

Databricks Open Sources MLflow to Simplify Machine Learning Lifecycle

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 le Read more…

Project Hydrogen Unites Apache Spark with DL Frameworks

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. It's tou Read more…

Intel Adds Memory to Deep Learning for Drug Discovery

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 anal Read more…

Google Unleashes TPUs on Cloud ML Engine

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 s Read more…

Presto Use Surges, Qubole Finds

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 impress Read more…

ParallelM Aims to Close the Gap in ML Operationalization

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, Parall Read more…

Snowflake Taps Qubole for Deep Machine Learning in the Cloud

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 Read more…

How to Make Deep Learning Easy

Deep learning has emerged as a cutting-edge tool for training computers to automatically perform activities like identifying stop signs, detecting a person's emotional state, and spotting fraud. However, the level of tec Read more…

TensorFlow to Hadoop By Way of Datameer

Companies that want to use TensorFlow to execute deep learning models on big data stored in Hadoop may want to check out the new SmartAI offering unveiled by Datameer today. Deep learning has emerged as one of the hot Read more…

Spark’s New Deep Learning Tricks

Imagine being able to use your Apache Spark skills to build and execute deep learning workflows to analyze images or otherwise crunch vast reams of unstructured data. That's the gist behind Deep Learning Pipelines, a new Read more…

Nvidia’s Huang Sees AI ‘Cambrian Explosion’

The processing power and cloud access to developer tools used to train machine-learning models are making artificial intelligence ubiquitous across computing platforms and data framework, insists Nvidia CEO Jensen Huang. Read more…

Big Data’s Relentless Pace Exposes Old Tensions and New Risks in the Enterprise

Over the past two weeks, we've explored some of the difficulties that enterprises have experienced in trying to adopt the Hadoop stack of big data technologies. One area that demands further attention is how the rapid pa Read more…

Kinetica Aims to Broaden Appeal of GPU Computing

Kinetica today unveiled a new iteration of its in-memory, GPU-accelerated database that it says will help to democratize data science and traditional business intelligence by simultaneously running SQL-based queries and Read more…

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