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Tag: model training

GPU Storage Approach Targets Big Data Bottlenecks

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…

AI-Driven Decision Platforms Live in the Moment

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…

Baidu Aims Edge Platform at AI Developers

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…

Uber’s Training Tool Shares Ride for Deep Learning

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…

Microsoft Extends ML Framework

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…

Embedded FPGA Core Aimed at Deep Learning

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…

Intel Adds Memory to Deep Learning for Drug Discovery

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…

Google Unleashes TPUs on Cloud ML Engine

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…

Inference Emerges As Next AI Challenge

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…

‘Cloud TPU’ Bolsters Google’s ‘AI-First’ Strategy

May 18, 2017 |

Google fleshed out its artificial intelligence efforts during its annual developers conference this week with the roll out of an initiative called Google.ai that serves as a clearinghouse for machine learning research, tools and applications designed to help automate AI development. Read more…

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