Category Archives: Uncategorized

OpenStax Passes the 20% Threshold

Free textbooks from Rice University-based publisher OpenStax are now in use at one-in-five degree-granting U.S. colleges and universities and have already saved college students $39 million in the 2015-16 academic year.  More info is available here.

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Thomson Reuters’ Highly Cited Researcher for 2015

Richard Baraniuk was one of 3126 researchers in the sciences and social sciences who authored papers that ranked among the top 1% most cited for their subject field and year of publication in Thomson Reuters’ academic citation indexing and search … Continue reading

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Open Postdoc Positions

Thanks to some recent funding from NSF, the DARPA REVEAL program, the IARPA MICrONS program, and several philanthropic foundations, we’re hiring postdocs in three different areas: Deep learning theory, with applications to object recognition, signal processing, and neuroscience Machine learning … Continue reading

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IEEE Signal Processing Society 2015 Best Paper Award

M. A. Davenport, P. T. Boufounos, M. B. Wakin, and R. G. Baraniuk, “Signal Processing With Compressive Measurements,” IEEE Journal of Selected ​Topics in Signal Processing, Vol. 4, No. 2, April 2010 Abstract:  The recently introduced theory of compressive sensing … Continue reading

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OpenStax College To Save Students $25 million This School Year

OpenStax College today unveiled three new textbooks — Algebra and Trigonometry, College Algebra and Chemistry.  Our growing catalog of free textbooks (15 titles to date) will save 260,000 students at nearly 2000 institutions an estimated $25 million this academic year … Continue reading

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A Probabilistic Theory of Deep Learning

A. Patel, T. Nguyen, and R. G. Baraniuk, “A Probabilistic Theory of Deep Learning,” arXiv preprint, arxiv.org/abs/1504.00641, 2 April 2015.  Updated version from NIPS 2016. Abstract: A grand challenge in machine learning is the development of computational algorithms that match or … Continue reading

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Putting a Dent in College Costs With Open-Source Textbooks

By Ann Carrns, 25 February 2015 College students could save an average of $128 a course if traditional textbooks were replaced with free or low-cost “open-source” electronic versions, a new report finds. Textbook costs are particularly burdensome for students at … Continue reading

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Personalized Learning Workshop, Take 3

The Rice/OpenStax Workshop on Personalized Learning will be held Wednesday, 1 April 2015 on the Rice University campus in Houston, Texas. The previous two workshops in 2013 and 2014 have focused on Scaling Up Success in computer-based learning and Bridging … Continue reading

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ELEC301x – Discrete Time Signals and Systems – Live on edX!

ELEC301x – Discrete Time Signals and Systems (Part 1 – Time Domain) ELEC301x – Discrete Time Signals and Systems (Part 2 – Frequency Domain) Enter the world of signal processing: analyze and extract meaning from the signals around us! About … Continue reading

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If You Like FISTA, You’re Going to Love FASTA!

T. Goldstein, C. Studer, and R. G. Baraniuk, “A Field Guide to Forward-Backward Splitting with a FASTA Implementation,” arXiv preprint, arxiv.org/abs/1411.3406, December 2014 Non-differentiable and constrained optimization play a key role in machine learning, signal and image processing, communications, and … Continue reading

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