Tag: model training
Oct 14, 2019 |
A growing list of data privacy regulations along with demand for better training data is spawning new AI-based approaches to managing “personally identifiable” information, including “synthetic” data sets that remove personal information covered by current and pending privacy rules. Read more…
Aug 9, 2019 |
An emerging storage technology aims to leverage faster GPUs by creating a direct path between local and remote storage, thereby overcoming I/O bottlenecks that are slowing the crunching of AI and HPC data sets. Read more…
Jun 12, 2019 |
The emerging market for AI-driven digital decision-making is grounded in new applications developed using machine learning models designed to help analysts crunch data that would allow their bosses to make the right decision, whether its engaging with customers or managing a complex supply chain. Read more…
Jan 9, 2019 |
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 usage. 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…
Oct 10, 2018 |
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…
Jun 25, 2018 |
Different implementations of FPGA designs continue to make inroads in the development of AI applications such as neural network processing. The latest is an embedded FPGA core unveiled this week by chip designer Flex Logix. Read more…
May 31, 2018 |
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 analysis of sets of thousands of pre-defined features can take half a day. Read more…
May 21, 2018 |
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 speed training by running Tensor processing units (TPU) on its machine learning engine. Read more…
Nov 2, 2017 |
As developers flock to artificial intelligence frameworks in response to the explosion of intelligence machines, training deep learning models has emerged as a priority along with synching them to a growing list of neural and other network designs. Read more…
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