Tag: PyTorch
May 22, 2019 |
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 “multitasking” for vision and language “multimodal AI models.” Among its capabilities are identifying visual data and automatically generating image captions, company developers said this week. Read more…
Mar 19, 2019 |
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 Apache Spark creator Databricks will integrate RAPIDS into its analytics platform. Read more…
Dec 13, 2018 |
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 distributed training framework for Keras, PyTorch and TensorFlow. Read more…
Aug 14, 2018 |
Fast.ai, an organization offering free courses on deep learning, claimed a new speed record for training a popular image database using Nvidia GPUs running on public cloud infrastructure.
A pair of researchers trained the ImageNet database with 93 percent accuracy in 18 minutes using 16 Amazon Web Services (NASDAQ: Read more…
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…
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…
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…
Feb 28, 2017 |
In two weeks, big data enthusiasts from around the world will converge on San Jose for the semi-annual Strata + Hadoop World conference. Existing products like Spark and Kafka are destined to be the stars of the show, while new technologies like Hoodie and Sparklyr aim to gain traction. Read more…
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