tag: neural networking

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 08 Mar, 2019 - Comments: 0

Internet of Things Dialog Semiconductor is shifting its product portfolio away from smartphones following its pending $600 million deal with Apple. The chip company is looking toward connected-health products and video-game consoles for future growth. The connected-health devices, developed in collaboration with pharmaceutical firms, would monitor blood pressure and check glucose levels, accor... » read more

Optimizing Machine Learning Workloads On Power-Efficient Devices
By Arm - 11 Apr, 2018 - Comments: 0

Software frameworks for neural networks, such as TensorFlow, PyTorch, and Caffe, have made it easier to use machine learning as an everyday feature, but it can be difficult to run these frameworks in an embedded environment. Limited budgets for power, memory, and computation can all make this more difficult. At Arm, we’ve developed Arm NN, an inference engine that makes it easier to target di... » read more

The Efficiency Problem
By Samer Hijazi - 11 May, 2017 - Comments: 0

Part one of this report addressed the efficiency problem in neural networks. This segment addresses efficiencies in training, quantization, and optimizing the network and the hardware. Minimize the Bits (CNN Advanced Quantization) Training a CNN involves assigning weight vectors to certain results, and applying adaptive filters to those results to determine the positives, false positives, a... » read more

Researchers Learn New Tricks
By Brian Bailey - 27 Apr, 2017 - Comments: 0

There is very little EDA research being done in universities today, except for very narrow fields such as [getkc id="33" kc_name="formal verification"]. It has been a steady decline over quite a long period of time. There are several reasons for this. The first is money. Money has to flow into the universities to pay for the research, and this has to lead to some form of prestige for the est... » read more

Partitioning For Power
By Ed Sperling - 14 Nov, 2016 - Comments: 0

Examine any smartphone design today and most of the electronic circuitry is "off" most of the time. And regardless of how many processor cores are available, it's rare to use more than a couple of those cores at any point in time. The emphasis is shifting, though, as the mobility market flattens and other markets such as driver-assisted vehicles and IoT begin gaining traction. In a car, turn... » read more

Lower Power Plus Better Performance
By Ed Sperling - 13 Oct, 2016 - Comments: 0

The tradeoff between power and performance is becoming less about one versus the other, and more about a dual benefit, as new computing and chip architectures begin rolling out. Neural networking, which is one of the hot buttons for any system that relies on lots of distributed sensors, is essential to get a true picture of what is happening around a car moving down the highway at 65 miles ... » read more

Neural Net Computing Explodes
By Gale Morrison - 06 Oct, 2016 - Comments: 1

Neural networking with advanced parallel processing is beginning to take root in a number of markets ranging from predicting earthquakes and hurricanes to parsing MRI image datasets in order to identify and classify tumors. As this approach gets implemented in more places, it is being customized and parsed in ways that many experts never envisioned. And it is driving new research into how el... » read more

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