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Technical Committee News

Research in artificial intelligence (AI) has made great progress in recent years including Google's Go-playing AI AlphaGo beating world-class player Lee Se-dol in a 4-1 victory. While AI surpasses human intelligence in many tasks, the way it works is very different from the human brain. Dr. Dhruv Batra from Virginia Tech gave a presentation on whether humans and AI look at the same regions when answering visual questions, at Data Science Summit 2016, in San Francisco, CA. https://www.arxiv-vanity.com/papers/1606.03556/

The Speech and Language Processing Technical Committee features job announcements, conference calls, call for papers and upcoming challenges.

For our August 2016 issue, we cover recent patents granted in the area of pedestrian detection using various signal processing approaches. The topic represents a central issue in up-to-date research on self driving vehicles, surveillance and city monitoring.

For our July 2016 issue, we cover recent patents dealing with hardware and signal processing issues of video processing. The section below covers patents granted recently for video enhancement, noise removal from videos, watermarking techniques, visual quality measurement and new video processing circuits.

Jeff Dean, senior fellow at Google, presented how to understand data using deep learning, at Spark Summit 2016, in San Francisco, CA.

The Information Forensics and Security Technical Committee (IFS TC) reports on a special issue on spoofing and countermeasures for automatic speaker verification and a call for tutorials and special sessions at the WIFS 2016

Researchers from the Future Interfaces Group, an interdisciplinary research lab at Carnegie Mellon University, have developed a wearable interface that turns the skin on your arm into a touchscreen for your smartwatch.

For our June 2016 issue, we cover recent patents dealing with hardware and signal processing issues of medical imaging.

During the last couple of months a few new Signal Processing and Machine Learning contests were finished and new ones were initiated. A selection of some contests includes a contest by Home Depot on predictive relevance of search results and two contests on image recognition.

The AASP TC's mission is to support, nourish and lead scientific and technological development in all areas of audio and acoustic signal processing. These areas are currently seeing increased levels of interest and significant growth providing a fertile ground for a broad range of specific and interdisciplinary research and development.

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