tag: deep learning

The Week in Review: IoT
By Jeff Dorsch - 01 Dec, 2017 - Comments: 0

Products/Services At this week’s AWS re:Invent conference in Las Vegas, Nevada, Amazon Web Services introduced a number of products and services for the Internet of Things, machine learning, and other areas. These include Amazon FreeRTOS (an operating system for IoT microcontrollers), AWS IoT Device Defender (security management), AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Analytics... » read more

One-On-One: Mike Muller
By Ed Sperling - 30 Nov, 2017 - Comments: 0

Arm CTO Mike Muller sat down with Semiconductor Engineering to discuss a wide range of technology and market shifts, including the impact of machine learning, where new market opportunities will show up and how the semiconductor industry will need to change to embrace them. What follows are excerpts of that conversation. SE: It's getting to the point where instead of just developing chips, w... » read more

Power/Performance Bits: Nov 28
By Linda Christensen - 28 Nov, 2017 - Comments: 0

Deep learning to detect nuclear reactor cracks Inspecting nuclear power plant components for cracks is critical to preventing leaks, as well as to control in maintenance costs. But the current vision-based crack detection approaches are not very effective. Moreover, they are prone to human error, which in the case of nuclear power can be disastrous. To address this problem, Purdue Universit... » read more

System Bits: Nov. 21
By Ann Mutschler - 21 Nov, 2017 - Comments: 0

MIT-Lamborghini to develop electric car Members of the MIT community were recently treated to a glimpse of the future as they passed through the Stata Center courtyard as the Lamborghini Terzo Millenio (Third Millennium) was in view, which is an automobile prototype for the third millennium. [caption id="attachment_429209" align="alignnone" width="300"] Lamborghini is relying on MIT to make i... » read more

Software Framework Requirements For Embedded Vision
By Gordon Cooper - 09 Nov, 2017 - Comments: 0

Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with AlexNet’s win in the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), deep learning has changed the market by drastically reducing the error rates for image classification and d... » read more

The Next Phase Of Machine Learning
By Kevin Fogarty - 09 Nov, 2017 - Comments: 0

Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

System Bits: Nov. 7
By Ann Mutschler - 07 Nov, 2017 - Comments: 0

Exposing logic errors in deep neural networks In a new approach meant to brings transparency to self-driving cars and other self-taught systems, researchers at Columbia and Lehigh universities have come up with a way to automatically error-check the thousands to millions of neurons in a deep learning neural network. Their tool — DeepXplore — feeds confusing, real-world inputs into the ... » read more

Data Centers Turn To New Memories
By Ann Mutschler - 12 Oct, 2017 - Comments: 3

DRAM extensions and alternatives are starting to show up inside of data centers as the volume of data being processed, stored and accessed continues to skyrocket. This is having a big impact on the architecture of data centers, where the goal now is to move processing much closer to the data and to reduce latency everywhere. Memory has always been a key piece of the Von Neumann compute archi... » read more

Tools To Design CNNs
By Ann Mutschler - 28 Aug, 2017 - Comments: 2

Convolutional neural networks are becoming a mainstay in machine learning and artificial intelligence, allowing a network of distributed sensors to collect data and send them to a central brain for processing. This is a relatively simple idea in comparison to today's technology, and the idea of the [getkc id="261" kc_name="convolutional neural network"] has been around for some time. But bui... » read more

What’s New At Hot Chips
By Jeff Dorsch - 25 Aug, 2017 - Comments: 0

By Jeff Dorsch & Ed Sperling Machine learning, artificial intelligence and neuromorphic computing took center stage at Hot Chips 2017 this week, a significant change from years past where the focus was on architectures that addressed improvements in speed and performance for standard compute problems. What is clear, given the focus of presentations, is that the bleeding edge of comput... » read more

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