My student Geetanjali (Geet) Agarwal defended her masters thesis titled Aneka – Wavelet Image Hashing Algorithm, see announcement, where the contribution is a framework of hashing algorithms for image recognition. This important work is done in collaboration with the SoCal High Technology Task Force (HTTF). Geet deployed the AWS to accomplish her results, including EC2 instances and MySQL databases used to run experiments on thousands of images. Geet’s thesis will be available after the final draft is ready.
It was a pleasure to speak at the AWS/CSU Research in the Cloud series. By nature I am not a strong promoter of any technology, and the browser, OS or editor “wars” frankly bore me; I sometimes use a “lesser” technology because it happens to be more convenient, or because I don’t have the time to learn a “better” technology, or many other good reasons.
However, as a researcher and teacher I am absolutely thrilled with what AWS has to offer. I regularly give tours of our computer labs at CSU CI (to local companies, prospective graduate students, CSU trustees, fundraising prospects, etc.), and I explain that three things make it possible for a relatively small and unknown campus like ours to compete in scientific & engineering output in the national and international arena:
How cheap embedded systems have become; a Google Raspberry Pi is $35, and it comes with Linux and GPIO that makes it into a universal controller.
How cheap 3D printing has become, and in turn this frees us to some extent from having to build an expensive manufacturing lab.
And AWS: Amazon Cloud Computing Services. Instead of buying, maintaining, cooling and powering expensive servers, we can immediately utilize the required services, and pay as we go. This works very well for a university because we do not have to make up-front capital investments, and our usage is not always the same (e.g., practically no classes in the summer).
Every day, media is becoming more fragmented as old models are reinvented digitally. This new landscape makes it harder for advertisers to reach their audience and requires an unbiased partner with powerful technology to help media buyers coordinate campaigns across digital channels.
With The Trade Desk, buyers can value each impression like traders value stocks, using first and third party data to decide which impression to buy and how much to pay. Customers can also use our APIs to build their own proprietary analytic insights or access our bidders to create specialty DSP offerings.