Big data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Big Data is an emerging paradigm encompassing various kinds of complex and large scale information beyond the processing capability of conventional software and databases. Various technologies are being discussed

The IEEE Signal Processing Society continues to track emerging technical areas. As a result, the Society has decided to create two new SPS Technical Interest Profile (TIP) Code categories in the fields of Data Science and Autonomous Systems to keep pace with the expanding technical disciplines.

The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

IEEE SPS Distinguished Lecturer, Dr. Wing-Kin (Ken) Ma, gave a talk on “Hyperspectral Unmixing in Remote Sensing: Insights and Beyond.” The lecture, which included Machine Learning, was held on 14 June 2018 for the SPS German Chapter at Technischen Universität Darmstadt. The talk was hosted and moderated by Marius Pesavento and Gerald Enzner.

For our August 2018 issue, we cover recent patents granted in the area of Lidar based scene analysis. Patent no. 10,031,231 presents an object-detection system suitable for an automated vehicle which includes a lidar and a controller. The lidar is used to detect a point-cloud that is organized into a plurality of scan-lines. 

Your vote is important! On 15 August, the election of Regional Directors-at-Large for Regions 1-6 and 8 (the term is 1 January 2019 through 31 December 2020) and Members-at-Large (term 1 January 2019 through 31 December 2021) of the IEEE Signal Processing Society (SPS) Board of Governors (BoG) will be open.

When deciding on a career path, you’re likely to have different considerations in mind. You want to have a skillset for which there is a wide demand in growing industries. You also need to be certain your expertise will remain relevant in the technologically uncertain years to come, when AI and automation will change many of our jobs as we know it.