EARN-IT Act threatens end to end secure encryption by requiring communications technology to install back door for Feds Computer Science |
- EARN-IT Act threatens end to end secure encryption by requiring communications technology to install back door for Feds
- Forensic Facial Reconstruction Expert Reveals What Jesus Would REALLY Have Looked Like
- Intro To Information Theory
- We made a post about the trials and tribulations of implementing AI and ML in DevOps
- [N] 2019 Turing Award Honours Computer Graphics Pioneers Hanrahan and Catmull
- The Strange Birth and Long Life of Unix
- Faster divisibility test than % operator?
- Mathematically interesting ares of CS
- What is Understanding? Principles of Comprehension for Computer Programs
Posted: 18 Mar 2020 04:59 AM PDT |
Forensic Facial Reconstruction Expert Reveals What Jesus Would REALLY Have Looked Like Posted: 19 Mar 2020 04:19 AM PDT |
Posted: 18 Mar 2020 10:30 AM PDT |
We made a post about the trials and tribulations of implementing AI and ML in DevOps Posted: 18 Mar 2020 03:27 PM PDT |
[N] 2019 Turing Award Honours Computer Graphics Pioneers Hanrahan and Catmull Posted: 18 Mar 2020 01:38 PM PDT The Association for Computing Machinery (ACM) this morning announced Patrick M. (Pat) Hanrahan and Edwin E. (Ed) Catmull as its 2019 Turing Award winners. The highest distinction in computer science went to the duo for "fundamental contributions to 3-D computer graphics, and the revolutionary impact of these techniques on computer-generated imagery (CGI) in filmmaking and other applications." [link] [comments] |
The Strange Birth and Long Life of Unix Posted: 18 Mar 2020 11:30 AM PDT |
Faster divisibility test than % operator? Posted: 18 Mar 2020 10:01 AM PDT |
Mathematically interesting ares of CS Posted: 18 Mar 2020 09:33 AM PDT In your experience as computer scientists, what active fields of research are there with mathematical content? That is, what areas of computer science have you seen which require a mathematical rigour or higher levels of abstraction to produce results? One example I've seen is in computational algebraic geometry and it's applications in solving systems of polynomials and geometric constraints in 3D modelling. The field is centred around making Buchberger's algorithm, a double exponentially time complex algorithm which is the only one we know to work, faster to it's particular applications using algebraic techniques. While this is not meant as a career question, I should note that I am a student of very pure mathematics who is considering getting off the academia hype train but still wants my curiosity satisfied. Hope this question isn't too broad :) [link] [comments] |
What is Understanding? Principles of Comprehension for Computer Programs Posted: 18 Mar 2020 06:31 AM PDT |
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