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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.

In today’s world, the environment is unavoidably prone to the unexpected occurrence of unpredictable events. Whatever the kinds of unexpected occurrences are, be they threats to safety or security breach, in the final analysis they are all known to be uncertainties, which in turn, bring us to think in terms of risk.

Researchers at the University of California, Riverside, have developed a new navigation system that is based entirely on existing terrestrial signals, such as cellular and Wi-Fi, rather than GPS. The new technology, which the researchers claim is both highly reliable and accurate, can function as a standalone alternative to GPS or as an alternative to satellite signals to enable highly reliable, consistent, and tamper-proof navigation in autonomous systems, such as robots, driverless terrestrial vehicles, and unmanned aerial vehicles.

The 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP) will be held in Montreal, Quebec, Canada on November 14-16, 2017. GlobalSIP, as a new flagship IEEE Signal Processing Society conference, focuses on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference features world-class plenary speeches, distinguished Symposium talks, tutorials, exhibits, oral and poster sessions, and panels.

Remotely controlled ships, piloted by people on shore, and autonomous ships, which can take actions for themselves, are the latest beneficiaries of increasing digital connectivity and intelligence. This IEEE Spectrum articles provides an insider's perspective on autonomous ships in high seas, covering sensing, communication, collision avoidence, compelx maneuvers and more.

The invention of the automobile has transformed how people live, work, and interact in society. How will signal processing advance today’s vehicles into “smart” cars that are able to think and contribute to the task of operating a vehicle? The December 2016 issue of the IEEE Signal Processing Magazine provides a venue for summarizing, educating, and sharing the state of the art in signal processing applied to the domain of automotive systems.

Learn about Ethics and Autonomous Systems in Ronald C. Arkin's article in Proceedings of the IEEE.

Memory is one of the three key factors for cognitive dynamic systems. A paper titled A Comprehensive Study of the Past, Present, and Future of Data Deduplication, published in the Proceedings of the IEEE Sep. 2016, provides a comprehensive survey of the state of the art in data deduplication technologies for storage systems, covering key technologies, main applications, open problems, and future research directions.

The June 2016 special issue of Proceedings of the IEEE addresses the importance of GNSS technology in our life and reflect on its ubiquitous use in service infrastructures. Specifically, it focusses on various types of jammers and analyzes their effects on different processing stages and overall GNSS receiver performance

The idea of representing a signal as a vector living in some linear vector space has borne tremendous fruit in signal processing: this viewpoint provides an encompassing framework for classical least-squares and subspace-based signal processing, and a language with which to model a signal’s structural properties.

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