tag: bias

How Hardware Can Bias AI Data
By Ed Sperling - 10 Sep, 2019 - Comments: 1

Clean data is essential to good results in AI and machine learning, but data can become biased and less accurate at multiple stages in its lifetime—from moment it is generated all the way through to when it is processed—and it can happen in ways that are not always obvious and often difficult to discern. Blatant data corruption produces erroneous results that are relatively easy to ident... » read more

System Bits: Aug. 13
By Jeff Dorsch - 13 Aug, 2019 - Comments: 0

Keeping tabs on crops University of Missouri researchers collaborated with the Agricultural Research Service at the U.S. Department of Agriculture on pairing a regular digital camera with a miniature infrared camera for a novel system providing temperature data and detailed images of crops. “Using an infrared camera to monitor crop temperature can be tricky because it is difficult to diff... » read more

The Automation Of AI
By Brian Bailey - 28 Mar, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Building AI SoCs
By Ed Sperling - 25 Oct, 2018 - Comments: 0

Ron Lowman, strategic marketing manager at Synopsys, looks at where AI is being used and how to develop chips when the algorithms are in a state of almost constant change. That includes what moves to the edge versus the data center, how algorithms are being compressed, and what techniques are being used to speed up these chips and reduce power. https://youtu.be/d32jtdFwpcE    ... » read more

Pessimism, Optimism And Neuromorphic Computing
By Katherine Derbyshire - 20 Jul, 2017 - Comments: 0

As I’ve been researching this series on neuromorphic computing, I’ve learned that there are two views of the field. One, which I’ll call the “optimist” view, often held by computer scientists and electrical engineers, focuses on the possibilities: self-driving cars. Homes that can learn their owners’ needs. Automated medical assistants. The other, the “pessimist” view, often hel... » read more

The Darker Side Of Machine Learning
By Ann Mutschler - 05 Jul, 2017 - Comments: 0

Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

Ethics And The Singularity
By Brian Bailey - 26 Jan, 2017 - Comments: 0

A couple of weeks ago, I wrote an article entitled The Multiplier and the Singularity. That article has been well received and I thank those who have made some kind and interesting comments on it. Such articles can be difficult to write without inserting writer's bias. As a writer, I have many of my own thoughts and possibly even prejudices, but those are not meant to make their way into my wri... » read more

Let’s All Meet At The Via Bar!
By Jean-Marie Brunet - 30 Jun, 2013 - Comments: 0

By Jean-Marie Brunet At 28 nm and below, a variety of new design requirements are forcing us to adjust the traditional layout and verification process of digital designs. The use of vias, in particular, has been significantly impacted. New via types have been introduced, and the addition of double patterning, FinFETS, and other new design techniques has not only generated a considerable increa... » read more

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