International Reputative Learning Material on Open Source

Have a look at the research being done at your university. Stop by some professors offices, and ask them what their degree has offered in terms of robotics. Of course, a bunch of us on stackexchange are probably in favor of CS, but I can tell you from attending conferences that roboticists come in all flavors, and CS-type problems are being solved by people of all backgrounds. In fact, a lab here at my university specializes in building new types of robot actuators or chassis, and strangely all of their students are in CS as is the professor.

doing postdoc in developmental biology. Recently I started to leave web css work at the lab, meaning that I don't work at home anymore. Before I spent many hours at night (at home) analyzing my data; now I spent that time on my side project not related to science. I would like to ask if that kind of schedule is sustainable? Can I be a good scientist if I only work in working hours (now and later when I have a long term position)? Other scientists seem to work both at the lab and at home.

  • Even though it is possible, it is not necessarily easy
  • Combinatorics, especially algorithmic/computational and combinatorial optimization
  • Cryptography, information encryption/decryption and security
  • After doing some research on the Web, it seems to be the case that my interests fall
  • PhD in Math be more appropriate, or would a PhD in CMS Web
  • To specialize, but all other things being equal, I find basic knowledge more useful
  • great! Now give yourself the advantage of getting some broad training in CS topics as well

Deeplab Learning

So there are two interpretations for state-of-art: one is general development across time and another one is the best method available today. Which interpretation is apt for state-of-the-art writing in machine learning? For example consider a task Semantic Segmentation on PASCAL VOC 2012 test. There are 34 methods to perform that. Among them DeepLabv3+ (Xception-JFT) has only the SOTA status. Remember that remaining 33 methods might also have SOTA status at their times. If I need to write and present State-of-the-art on Semantic Segmentation on PASCAL VOC 2012 test, then is it enough to present

DeepLabv3+ and ignore remaining (assume no dependencies) or there is a need to understand remaining also for state-of-the -art? Context: My University generally follows the interpretation I for state-of-the-art, but popular machine learning website paperswithcode is following interpretation II. So I got confuse and hence asking which one is more apt for state-of-the-art writing. If interpretation II is the actual one, then there may be possibility for me to convince my guide and act accordingly.

Learning SSHL from scratch

Since 2005, SHA-1 has not been considered secure against well-funded opponents;4 as of 2010 many organizations have recommended its replacement.567 NIST formally deprecated the use of SHA-1 in 2011 and disallowed its use for digital signatures in 2013. As of 2020, chosen-prefix attacks against SHA-1 are practical.89 As such, it is recommended to remove SHA-1 from products as soon as possible and instead use SHA-2 or SHA-3. Replacing SHA-1 is urgent where it is used for digital signatures. All major web browser vendors ceased acceptance of SHA-1 SSL certificates in In February , CWI Amsterdam.

Google announced they had performed a collision attack against SHA-1, publishing two dissimilar PDF files that produced the same SHA-1 hash.132 But SHA-1 is still secure for HMAC.14 Microsoft has discontinued SHA-1 code signing support for Windows Update on August 7, 2020.

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