Initiatives & Trends

 

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10 years of news and resources for members of the IEEE Signal Processing Society

Initiatives & Trends

In the mid-1940s, a few brilliant people drew up the basic blueprints of the computer age. They conceived a general-purpose machine based on a processing unit made up of specialized subunits and registers, which operated on stored instructions and data. Later inventions—transistors, integrated circuits, solid-state memory—would supercharge this concept into the greatest tool ever created by humankind. So here we are, with machines that can churn through tens of quadrillions of operations per second. We have voice-recognition enabled assistants in our phones and homes.

The Amazon Lex service is now generally available, announced at the Amazon Web Services (AWS) 2017 San Francisco Summit. Amazon Lex is a fully managed AI service that enables developers to build conversational interfaces into any application using voice and text. It is powered by the same deep learning technologies used in Amazon Alexa.

For our June 2017 issue, we cover recent patents dealing with audio coding.

For our August 2017 issue, we cover recent patents granted in the area of wavelet analysis

Gibson, a guitar manufacturer, is know for pushing what the technology can do for die-hard guitar fans. The latest innovation, revolving around signal processing, is a Gibson Custom Lightly Figured Les Paul Standard with a built-in distortion circuit. A creation Gibson is calling the Burstdriver.

For more details, please read http://newatlas.com/gibson-burstdriver-les-paul-guitar/50692/

Claude Shannon has changed electrical engineering, and he was one of the greatest influencers on the field of signal processing. In recent years, there are more stories about his remarkable life.

For more details, please read http://www.thedailybeast.com/claude-shannon-the-juggling-poet-who-gave-us-the-information-age

For our July 2017 issue, we cover recent patents granted in the area of image denoising.

The U.S. Department of Homeland Security (DHS) has kicked off a challenge to improve the algorithm Transportation Security Administration (TSA) uses to detect airport security threats. The goal of this competition is to reduce the number of false alarms while maintaining high levels of security using image data. This is because when the scanning equipment predicts a potential threat, a TSA agent must engage in a secondary, manual screening process that slows everything down. By reducing false alarms, the passenger experience can be greatly improved.

A recent article by MIT Technology Review describes how artificial intelligence is changing a workforce in many companies today. In particular, they present the case of General Electric and its workforce. This interesting piece can be found at https://www.technologyreview.com/s/607962/general-electric-builds-an-ai-workforce/  and it is worth reading especially for all of us in the signal processing community. It will be interesting to see how artificial intelligence will shape our community.

How can real-time analysis of wireless communications data improve weather forecasts? Read more.

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