- A solid review of '50 Years of Computer Architecture' by David Patterson, distinguished engineer @ Google & UC Berkley professor. He covers everything from mainframe CPUs to Neural-Network TPUs, the differences between ARM, Intel, and AMD, and the trends of computer architecture.
- [R] Adobe’s DL-Based ‘HDMatt’ Handles Image Details Thinner Than Hair
- How hard is the theoretical side of compsci in university?
- [Free Course] Fundamental Data Analysis and Visualization Tools in Python
- September 23: Free Talk with Emery Berger on Optimizing Application Performance
- Anyone interested in joining me to form a CS Enthusiast GroupMe?
- Suggestions for undergrad final year project: interested areas computer networks, cloud computing, Distributed computing.
| Posted: 22 Sep 2020 06:52 PM PDT |
| [R] Adobe’s DL-Based ‘HDMatt’ Handles Image Details Thinner Than Hair Posted: 22 Sep 2020 01:35 PM PDT Image matting plays a key role in image and video editing and composition. Although existing deep learning approaches can produce acceptable image matting results, their performance suffers in real-world applications, where the input images are mostly high resolution. To address this, a group of researchers from UIUC, Adobe Research and the University of Oregon have proposed HDMatt, the first deep learning-based image matting approach for high-resolution image inputs. Here is a quick read: Adobe's DL-Based 'HDMatt' Handles Image Details Thinner Than Hair The paper High-Resolution Deep Image Matting is on Arxiv. Notably, second author Ning Xu from Adobe Research was first author on the 2017 paper Deep Image Matting. [link] [comments]  |
| How hard is the theoretical side of compsci in university? Posted: 23 Sep 2020 04:25 AM PDT I'm quite good at programming especially in python. But recently in IT class in school we started looking at all the theoretical side of compsci such as machine learning, encryption, etc., and I found the theory quite hard to grasp and understand, especially in AI. Secondly, I started getting into sql, and I am also struggling to grasp databases. Overall, I am quite good at programming, but generally, everything else in compsci I struggle in. I'm going to be taking a compsci next year in university, and from what I have seen so far in compsci, I am a little fearful that I will struggle in university. Generally, how much of compsci is programming, and how much of it is theory based? Secondly, how hard is the theoretical side of compsci in university? Of course this varies from universities, but from your personal experience how would you rate it? [link] [comments]  |
| [Free Course] Fundamental Data Analysis and Visualization Tools in Python Posted: 22 Sep 2020 11:07 PM PDT |
| September 23: Free Talk with Emery Berger on Optimizing Application Performance Posted: 22 Sep 2020 02:52 PM PDT On September 23, join 2019 ACM Fellow Emery Berger (Professor of Computer Science at UMass-Amherst) for the free ACM TechTalk, "Performance (Really) Matters." Learn why current approaches to evaluating and optimizing performance don't work; how complicated performance has become on modern systems, and how compiler optimizations have essentially run out of steam; and learn about a couple of radically new performance profilers that could help. Register for free to attend live or be alerted when a recording is available. [link] [comments]  |
| Anyone interested in joining me to form a CS Enthusiast GroupMe? Posted: 22 Sep 2020 04:28 PM PDT |
| Posted: 22 Sep 2020 06:48 AM PDT I want to get some suggestions for my undergrad final year project. I am mainly interested in computer networks, cloud computing, Distributed computing. The main reason I am posting this is that there are no proper resources to guide on these topics. Most of my friends have chosen projects related to ML/AI/DL. So they have resources around the internet to research for their project idea. I researched on the internet about my interests but the effort was futile. I only found about Martin Klepmman who was working on distributed systems(CRTs) and some sort of other stuff. But when I researched about computer networks I didn't get any interesting results. And I am curious to know about the cutting edge research topics in cloud computing. I would like to get opinions and suggestions from academicians and industrialists. If somebody thinks doing an undergrad final year project in these areas then suggest some areas in computer science other than ML/AI/DL. [link] [comments]  |
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