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Tag: TensorFlow

Machine Learning, from Single Core to Whole Cluster

The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and other fields has increa Read more…

Drones Put the AI into Aerial Intelligence

Advances in machine learning, data management, and cloud computing are having a significant impact on the market for drone-based mapping and intelligence gathering. Even as satellite-based imaging gains steam, drones app Read more…

HPE Expands Ezmeral Portfolio, Ecosystem

Hewlett Packard Enterprise announced new cloud infrastructure and analytics products and partnerships this week built around its Ezmeral software portfolio, including a new data fabric integrated into the Ezmeral contain Read more…

Python Popularity Persists, AI Drives PyTorch

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related PyTorch and Tensorflow Read more…

Google Joins the MLOps Crusade

Machine learning developers face an expanded set of management issues beyond merely getting the code right, including the testing and validation of data used in ML models while handling an additional set of infrastructur Read more…

IBM Extends Jupyter Notebooks for AI Development

IBM has released a new open source toolkit with AI extensions to the popular Jupyter Notebooks data science development platform. The Elyra AI Toolkit extends the industry standard JupyterLab user interface with the g Read more…

An Open Source Alternative to AWS SageMaker

There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker, there’s not a Read more…

Real Progress Being Made in Explaining AI

One of the biggest roadblocks that could prevent the widespread adoption of AI is explaining how it works. Deep neural networks, in particular, are extremely complex and resist clear description, which is a problem when Read more…

Simplifying the Big Data Lake Experiences in the Cloud

The cloud is a hot spot for big data lakes these days, thanks largely to the greater technological simplicity and lower upfront costs of getting started in the public cloud. But as organizations grow their cloud data lak Read more…

Google Adds ‘Structured Signals’ to Model Training

An effort to bring structure and meaning to huge volumes of varied data is being used to improve training of neural networks. The technique, dubbed Neural Structured Learning (NSL) attempts to leverage what developers Read more…

MIT Aims to Ease AI Programming

A new AI programming language seeks to ease the process of writing inference algorithms and other predictive models without the hassle of grinding out complicated equations and code. Among the goals of the probabilist Read more…

Facebook Releases Another Deep Learning Tool

Facebook has released to open-source developers a deep learning framework that does double duty for computer vision and language tasks. Built on its PyTorch framework, Facebook is positioning Pythia as supporting “ Read more…

Quobyte Plugs TensorFlow Into Scale-Out File System

Quobyte designed its file system with scalability in mind. It also designed it to handle multiple types of files and workload without burdening human administrators with extra complexity. Both of those characteristics ar Read more…

Product Naming with Deep Learning

We do not usually associate artificial intelligence (AI) with creativity. Generally, AI algorithms are used to automatize repetitive tasks or predict new outcomes based on previously seen examples. The creative process c Read more…

Apache Spark Is Great, But It’s Not Perfect

Apache Spark is one of the most widely used tools in the big data space, and will continue to be a critical piece of the technology puzzle for data scientists and data engineers for the foreseeable future. With that said Read more…

Startup MemVerge Combines Memory, Storage

A startup combining persistent memory and data storage has emerged from stealth mode with a platform running on chip maker Intel’s Optane architecture. MemVerge claims to have invented what it calls “memory-conver Read more…

RAPIDS Momentum Builds with Analytics, Cloud Backing

Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture. Nvidia also announced that Apach Read more…

Baidu Aims Edge Platform at AI Developers

Platform vendors are increasingly focusing on computing at the network edge as those devices sweep up more unstructured data. The goal is to move computing resources closer to data sources to reduce latency and bandwidth Read more…

Predictions for Application Development in 2019

Application development has become a cloud-focused initiative in many enterprises. Consequently, the languages, tools, and platforms needed to support today’s development initiatives are rapidly evolving. Applicatio Read more…

Uber’s Training Tool Shares Ride for Deep Learning

A Linux Foundation project focused on AI development is expanding with the addition of a deep learning training tool based on an Uber-sponsored project. Launch by the ride-sharing specialist, the Horovod project is a Read more…

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