Abou-zeid, Hatem. Queen's University (Canada) “Predictive radio access networks for vehicular content delivery”(2014)
1 January 2015
Abou-zeid, Hatem. Queen's University (Canada) “Predictive radio access networks for vehicular content delivery” (2014) An unprecedented era of …
Read moreCall for Nominations: IEEE Fellow Class of 2016: deadline 1 March
1 January 2015
IEEE Fellow is a distinction reserved for select IEEE members.
Read more2014 IEEE Signal Processing Society Awards Announced
1 January 2015
The IEEE Signal Processing Society congratulates the following SPS members who will receive the Society's prestigious awards during ICASSP 2015 in…
Read moreIEEE-USA Offers Free e-Books to Members in October, November, and December
1 December 2014
As a special benefit to IEEE members for the month of October, IEEE-USA is offering "The Best of Backscatter from IEEE-USA Today’s Engineer – Volume…
Read moreConference in the spotlight: Interspeech 2015
1 December 2014
INTERSPEECH is the world’s largest and most comprehensive conference on the science and technology of spoken language processing. INTERSPEECH…
Read moreMember in the Spotlight: Le An
1 December 2014
In this series, we introduce a member of our Society by means of an interview.
Read moreUCSF Aims to Bridge "the Last Mile" in Precision Medicine
1 December 2014
Precision medicine is a new model of health care which gains insights from an individual's history and biology patterns, to create more precise diagnosis and treatment, at a lower cost. Precision medicine is a big data problem. Despite the completion of Human Genome Project more than ten years ago and the development in the field as a whole, precision medicine is still not a routine practice of medicine due to the lack of appropriate technical work and software platforms.
Activity Update from the MLSP Technical Committee
1 December 2014
The Machine Learning for Signal Processing Technical Committee (MLSP TC) is involved with activities that support the use of Machine Learning techniques for Signal Processing problems. The scope of this TC is fairly wide, ranging from traditional machine learning and pattern recognition, to approaches that combine material from both disciplines. Under the scope of the MLSP TC we find areas such as source separation, graphical and kernel methods for time-series, Bayesian non-parametrics, and matrix and tensor factorizations among many more.
Image of the Month: Costs of sequencing a human genome
1 December 2014
A team led by Stanford electrical engineers has compressed a completely sequenced human genome to just 2.5 megabytes – small enough to attach to an email. The engineers used what is known as reference-based compression, relying on a human genome sequence that is already known and available. Their compression has improved on the previous record by 37 percent. The genome the team compressed was that of James Watson, who co-discovered the structure of DNA more than 60 years ago
Signal Processing Conferences
1 December 2014
Please refer to the following webpage for the latest updates on upcoming conferences in Signal Processing. http://www.signalprocessingsociety.org…
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