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OpenXLA Delivers Flexibility for ML Apps

Machine learning developers gained new abilities to develop and run their ML programs on the framework and hardware of their choice thanks to the OpenXLA Project, which today announced the availability of key open source Read more…

In Search of a Common Deep Learning Stack

Web serving had the LAMP stack, and big data had its SMACK stack. But when it comes to deep learning, the technology gods have yet to give us a standard suite of tools and technologies that are universally accepted. Desp Read more…

2018: A Big Data Year in Review

As 2018 comes to a close, it's worth taking some time to look back on the major events that occurred this year in the big data, data science, and AI space. There's a lot that occurred – and a lot that we chronicled in Read more…

A Wave of Purpose-Built AI Hardware Is Building

Google last week unveiled the third version of its Tensor Processing Unit (TPU), which is designed to accelerate deep learning workloads developed in its TensorFlow environment. But that's just the start of a groundswell Read more…

Here’s What a Neural Net Looks Like On the Inside

Ever wonder what the inside of a machine learning model looks like? Today Graphcore released fascinating images that show how the computational graph concept maps to a new graph processor and graph programming framework Read more…

AI Platforms Seen Emerging in 2017

Technology predictions for next year are already filtering in, with artificial intelligence and full-blown analytics and other platforms increasingly seen as among the keys to opening the big data floodgates in 2017. Read more…

Graphcore Touts 100x ML Speedup with PCIe Plug-In

Graphcore emerged from stealth mode today with news of a $30 million Series A round to help finance ongoing development of its machine learning (ML) and deep learning acceleration solutions, including a PCIe card that pl Read more…

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