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Tag: neural networks

Intel Acquires Model Optimizer SigOpt

Oct 29, 2020 |

Intel Corp. is acquiring AI optimization software vendor SigOpt, a move the chip maker said would complement its existing AI software portfolio while integrating SigOpt’s tools with its AI hardware to accelerate and scale AI software used by model developers. Read more…

Models Trained to Keep the Trains Running

Aug 7, 2020 |

Steady advances in machine vision techniques such as convolutional neural networks powered by graphics processors and emerging technologies like neuromorphic silicon retina “event cameras” are creating a range of new predictive monitoring and maintenance use cases. Read more…

Speech Analytics Makes Unexpected Discovery

May 13, 2020 |

The folks at CallMiner had theories about what their speech analytics software would turn up when they launched an informal coronavirus customer research program back in March. The COVID-19 pandemic has upended life as we know it, and large corporations with big contact center operations have been forced to quickly adapt to the new work-from-home model. Read more…

Three Tricks to Amplify Small Data for Deep Learning

Mar 10, 2020 |

It’s no secret that deep learning lets data science practitioners reach new levels of accuracy with predictive models. However, one of the drawbacks of deep learning is it typically requires huge data sets (not to mention big clusters). Read more…

Micron Bridges Memory Bandwidth Gap for ML

Feb 26, 2020 |

Deep learning accelerators based on chip architectures coupled with high-bandwidth memory are emerging to enable near real-time processing of machine learning algorithms. Memory chip specialist Micron Technology argues that hardware accelerators linked to higher memory densities are the best way to accelerate “memory bound” AI applications. Read more…

Real Progress Being Made in Explaining AI

Dec 9, 2019 |

One of the biggest roadblocks that could prevent the widespread adoption of AI is explaining how it works. Deep neural networks, in particular, are extremely complex and resist clear description, which is a problem when it comes to ensuring that decisions made by AI are made fairly and free of human bias. Read more…

AI Can See. Can We Teach It To Feel?

Nov 25, 2019 |

We’ve made great strides in the field of computer vision, to the point where self-driving cars equipped with artificial intelligence (AI) can effectively “see” their surroundings. But can we teach AI to “feel” Read more…

Common Sense Makes Progress with Deep Learning

Jul 8, 2019 |

We’ve witnessed incredible progress in the capability of deep learning models to not only understand text, but to generate it too. While the generated text is grammatically sound, the actual meaning of the words leaves something to be desired. Read more…

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…

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