Aug
07
2017
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IBM touts improved distributed training time for visual recognition models

 Two months ago, Facebook’s AI Research Lab (FAIR) published some impressive training times for massively distributed visual recognition models. Today IBM is firing back with some numbers of its own. IBM’s research groups says it was able to train ResNet-50 for 1k classes in 50 minutes across 256 GPUs — which is just the polite way of saying “my model trains faster than… Read More

Aug
03
2017
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Facebook finishes its move to neural machine translation

 Facebook announced this morning that it had completed its move to neural machine translation — a complicated way of saying that Facebook is now using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to automatically translate content across Facebook. Read More

Jun
08
2017
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Facebook is speeding up training for visual recognition models

 Every minute spent training a deep learning model is a minute not doing something else and in today’s fast paced world of research, that minute is worth a lot. Facebook published a paper this morning detailing its personal approach to this problem. The company says its managed to reduce the training time of a ResNet-50 deep learning model on ImageNet from 29 hours to one. Facebook managed… Read More

May
17
2017
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Google is giving a cluster of 1,000 Cloud TPUs to researchers for free

 At the end of Google I/O, the company unveiled a new program to give researchers access to the company’s most advanced machine learning technologies for free. The TensorFlow Research Cloud program, as it will be called, will be application based and open to anyone conducting research, rather than just members of academia. If accepted, researchers will get access to a cluster of 1,000… Read More

May
15
2017
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Riminder uses deep learning to better match people to jobs

 There’s nothing efficient about sorting through 30,000 resumes by hand. Recruiters spend months evaluating applicants only to have great prospective candidates get lost in the pile. At TechCrunch’s Startup Battlefield, French startup Riminder made the case for how its deep learning-powered platform could augment recruiters — helping them better surface ideal contenders for… Read More

May
01
2017
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Bitfusion raises $5M for its AI lifecycle management platform

 When Bitfusion launched in 2015, its focus was on helping developers speed up their applications by giving them pre-compiled libraries that made better use of GPUs, FPGAs and other co-processing technologies. That was then. Today, the hottest market for these technologies is in training deep learning models. Unsurprisingly, that’s exactly what Bitfusion is focusing now. Read More

Feb
14
2017
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Gamalon leverages the work of an 18th century reverend to organize unstructured enterprise data

Red and white dice casting shadows on grey surface It’s hard to fathom that the work of Reverend Thomas Bayes is still coming back to drive cutting edge advancements in AI, but that’s exactly what’s happening. DARPA-backed Gamalon is the latest carrier of the Bayesian baton, launching today with a solution to help enterprises better manage their gnarly unstructured data. The world of enterprise is full of… Read More

Jan
30
2017
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MXNet accepted to the Apache Incubator

Connecting lines, computer illustration. MXNet, Amazon Web Services’ preferred deep learning framework, was accepted to the Apache Incubator today. Admission to the incubator is the first step necessary for the open-source initiative to officially become part of the Apache Software Foundation. The Apache Software Foundation supports the efforts of thousands of developers maintaining open-source projects around the world.… Read More

Jan
26
2017
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H2O’s Deep Water puts deep learning in the hands of enterprise users

screen-shot-2017-01-26-at-12-25-50-pm To complement existing offerings like Sparkling Water and Steam, H2O.ai is releasing Deep Water, a new tool to help businesses make deep learning a part of everyday operations. Deep Water will open up new possibilities for the TensorFlow, MXNet and Caffe communities to engage with H20.ai. This also means that the GPU is set to become a greater part of business operations for the entire… Read More

Jan
26
2017
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IBM adds support for Google’s Tensorflow to its PowerAI machine learning framework

shutterstock ibm PowerAI is IBM’s machine learning framework for companies that use servers based on its Power processors and NVIDIA’s NVLink high-speed interconnects that allow for data to pass extremely quickly between the processor and the GPU that does most of the deep learning calculations. Today, the company announced that PowerAI now supports Google’s popular Tensorflow machine… Read More

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