Follow Datanami:

Tag: neural networks

Will Neural Nets Replace Science Writers?

Apr 18, 2019 |

“Researchers have developed a new representation process on the rotational unit of RUM, a recurrent memory that can be used to solve a broad spectrum of the neural revolution in natural language processing.”

The sentence above was written by a natural language processing technique known as a rotational unit of memory, or RUM. Read more…

Accelerating Neural Network Design

Mar 28, 2019 |

The design of a neural network architecture remains a daunting problem, requiring human expertise and lots of computing resources. The soaring computational requirements of neural architecture search (NAS) algorithms used in developing neural network frameworks make it difficult to search architectures such as ImageNet. Read more…

Deep Learning, PET Scans Combined to Spot Alzheimer’s

Jan 7, 2019 |

Early detection remains among the keys to diagnosing and treating debilitating and fatal diseases. Clinicians are now enlisting machine learning algorithms to greatly accelerate detection of early-stage Alzheimer’s disease.

The ability to detect the early onset of Alzheimer’s is critical, researchers note, because the disease ravages the brain before symptoms appear. Read more…

Deep Learning Taking Over HPC, But It’s Good for Business Too

Nov 12, 2018 |

Be prepared for a heavy dose of deep learning if you’re on the floor of the Supercomputing 2018 show this week in Dallas, Texas, where the scientific community will demonstrate how neural network-powered AI applications are bolstering research in areas like climatology, geology, genomics, and even particle physics. 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…

Deep Learning Is Great, But Use Cases Remain Narrow

Oct 3, 2018 |

Deep learning is all the rage these days, and is driving a surge in interest around artificial intelligence. However, despite the advantages that deep neural networks can bring for certain applications, the actual use cases for deep learning in the real world remain narrow, as traditional machine learning methods continue to lead the way. Read more…

Sorting AI Hype from Reality

Aug 29, 2018 |

Several years ago, some wondered whether we had hit “peak Hadoop.” In retrospect, we had. Now we’re experiencing a similar phenomenon with the hype surrounding AI, and once again, some are wondering if it’s sustainable, and if not, when the hype will fade. Read more…

How AI Boosts Human Expertise at Wolters Kluwer

Jun 6, 2018 |

On balance, there will be some jobs lost to artificial intelligence, and you can also expect AI to create other jobs. But at the global information services company Wolters Kluwer, AI is being infused into expert systems in a bid to augment lawyers, accountants, and other professionals with superior decision-making abilities. Read more…

Opening Up Black Boxes with Explainable AI

May 30, 2018 |

One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don’t know how the models generated their answers, even if we’re very confident in the answers themselves. Read more…

A Wave of Purpose-Built AI Hardware Is Building

May 15, 2018 |

Google last week unveiled the third version of its Tensor Processing Unit (TPU), which is designed to accelerate deep learning workloads developed in its TensorFlow environment. But that’s just the start of a groundswell of new processors and processing architectures, including Wave Computing, which claims its soon-to-be-launched processor will dramatically lower the barrier of entry for running artificial intelligence workloads. Read more…

Do NOT follow this link or you will be banned from the site!