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Tag: neural networks

Intel Acquires Model Optimizer SigOpt

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 sc Read more…

Models Trained to Keep the Trains Running

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 Read more…

Speech Analytics Makes Unexpected Discovery

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 w Read more…

Three Tricks to Amplify Small Data for Deep Learning

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 ment Read more…

Micron Bridges Memory Bandwidth Gap for ML

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 t Read more…

Real Progress Being Made in Explaining AI

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 Read more…

AI Can See. Can We Teach It To Feel?

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" something Read more…

Common Sense Makes Progress with Deep Learning

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 s Read more…

Will Neural Nets Replace Science Writers?

“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 s Read more…

Accelerating Neural Network Design

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 use Read more…

Deep Learning, PET Scans Combined to Spot Alzheimer’s

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 dis Read more…

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

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 Read more…

Microsoft Extends ML Framework

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

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 ca Read more…

Sorting AI Hype from Reality

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, Read more…

How AI Boosts Human Expertise at Wolters Kluwer

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 Read more…

Opening Up Black Boxes with Explainable AI

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 Read more…

A Wave of Purpose-Built AI Hardware Is Building

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 Read more…

DARPA Expands ‘Lifelong’ Machine Learning Effort

As AI and machine learning systems advance, real-world applications are exposing limitations such as the inability to adapt to situations beyond the narrow tasks those systems were trained to perform. Indeed, some obs Read more…

Jeff Dean Thinks AI Can Solve Grand Challenges–Here’s How

In 2008, the National Academy of Engineering presented 14 Grand Challenges that, if solved, had the potential to radically improve the world. Thanks to recent breakthroughs in artificial intelligence – specifically, th Read more…

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