
Tag: model training
Nvidia researchers report a new AI model that significantly reduces the amount of data required to train a machine learning framework called generative adversarial networks.
In a paper released during this week’s Neural Information Processing Systems meeting, the researchers said their GAN framework achieved the same level accuracy with an “order-of-magnitude” reduction in training data. Read more…
Amazon Web Services is cutting prices on its SageMaker managed
service for machine learning and deep learning as it attracts more financial services, healthcare and retail customers building and training ML models in production. Read more…
The latest AI startup emerging from stealth mode claims to be the first to integrate model training and inference for deep learning at the network edge, replacing GPUs with FPGA accelerators. Read more…
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…
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…
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…
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…
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…
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…