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The 75th anniversary of the IEEE Signal Processing Society (SPS) is an ideal time to look at the rapid advances in our field and the many ways that these increasingly powerful technologies have transformed our professions and the world. This is not just a time to celebrate past achievements and pat ourselves on the back, but also to educate young students and innovators about the history of our profession, the challenges we have overcome, and the breakthroughs that have led to the incredible growth of Signal Processing (SP). More importantly, this reflection will help shape our path forward, by inspiring new innovations, and also bringing awareness of the ethical issues associated with evolving and emerging technologies. This awareness will help us to develop meaningful safeguards and ensure responsible use of these technologies.
The 75th anniversary of the IEEE Signal Processing Society (SPS) is an ideal time to look at the rapid advances in our field and the many ways that these increasingly powerful technologies have transformed our professions and the world. This is not just a time to celebrate past achievements and pat ourselves on the back, but also to educate young students and innovators about the history of our profession, the challenges we have overcome, and the breakthroughs that have led to the incredible growth of Signal Processing (SP). More importantly, this reflection will help shape our path forward, by inspiring new innovations, and also bringing awareness of the ethical issues associated with evolving and emerging technologies. This awareness will help us to develop meaningful safeguards and ensure responsible use of these technologies.
The 75th anniversary of the SPS coincides with another important 75th anniversary, that of a tiny yet mighty device: the transistor. This is not a mere coincidence. From their birth, signal and image processing (SIP) has been strongly associated with technological advances, especially in electronics and computers. In fact, SIP requires both sensors, for recording signals and images and computers, for implementing smart and efficient processing.
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