Day: March 25, 2019

Google open-sources GPipe, a library for efficiently training large deep neural networks
Deep Learning Neural Networks Research

Google Open-Sources Library for Efficiently Training Large Deep Neural Nets

Last last week, Google’s AI research division open-sourced GPipe, a library for “efficiently” training deep neural networks under Lingvo, a TensorFlow framework for sequence modeling. Most of GPipe’s performance gains come from better memory allocation for AI models. On second-generation Google Cloud tensor processing units (TPUs), each of which contains eight processor cores and 64 […]

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Security

Can Your Car Be Hacked?

This episode of BBC Click explores how some popular third-party alarms have made cars easier to steal. Also in this episode covers how tech can help with rugby injuries and a preview of action game Days Gone.

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Shark or Baseball? Inside the ‘Black Box’ of a Neural Network
AI Research

Shark or Baseball? Inside the ‘Black Box’ of a Neural Network

Generally speaking, Neural Networks are somewhat of a mystery. While you can understand the mechanics and the math that powers them, exactly how the network comes to its conclusions are a bit of a black box. Here’s an interesting story on how researchers are trying to peer into the mysteries of a neural net. Using […]

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Azure IoT

Azure IoT Certification Service

Azure IoT Certification Service can streamline your IoT device certification processes and reduce validation processes for device manufacturers. Learn more reading the blog post: https://azure.microsoft.com/en-us/blog/streamlined-iot-device-certification-with-azure-iot-certification-service/ Create a Free Account (Azure): https://aka.ms/aft-iot

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AI Neural Networks

Neural Networks from the Ground Up

Inspired by a recent article I wrote for MSDN, here is a presentation that I delivered at the recent Azure Data Fest. Neural Networks from the Ground Up from Frank La Vigne

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AI Economics of AI

The Colossal Problem with Universal Basic Income

As the notion of Universal Basic Income (UBI) becomes more widespread, so does criticism of it. Personally, I’m not a fan of it and I generally think there are better ways to solve the coming labor problem. Douglas Rushkoff has more thoughts on the downsides of UBI.

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Researchers teach neural networks to determine crowd emotions
AI Computer Vision Facial Recognition

Researchers teach neural networks to determine crowd emotions

Analyzing people’s social behavior with the use of images and videos is one of the most popular tasks for AI. Researchers have achieved a rather high quality in group-level emotion recognition, but until now it remained impossible to implement this development on a mass scale. The problem was the requirement of most video systems for […]

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You’re Hired! This Site Generates Random Neural Network Résumés
AI Career Generative AI

Generating Résumés with Neural Networks

If there ever was a case for AI, this could be a compelling one: Resume writing. It’s a task many job seekers see as a necessary evil and it seems as  everyone has an opinion about how to carefully craft the perfect document. A new website can write your résumé for you in just ten […]

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MIT Develops Algorithm to Accelerate Neural Networks by 200x
AI Neural Networks

MIT Develops Algorithm to Accelerate Neural Networks by 200x

Neural networks have become a hot topic over the last few years, but evaluating the most efficient way to build one is still more art than science. In fact, it’s more trial and error than art. However, MIT may have solved that problem. The NAS (Neural Architecture Search, in this context) algorithm they developed “can […]

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AI Deep Learning

Really Quick Questions with an Nvidia Researcher

In this video, Siraj Raval asks a series of questions of Bryan Catanzaro, the Vice President of Applied Deep Learning Research at NVIDIA.

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