- I am a computer science student, when I solve problems I solve them the hard way though when I find other friend's answers I find them better and more easy so is there a way to improve at problem solving and be efficient?
- Computer science/software developers, do you enjoy your job?
- What can my International Mobile Equipment Identity (IMEI), IP Number, MAC Wi-fi Kdentification, FCC Certification, Kernel, Baseband, Compilation Number, SW Version and Wi-fi Gateway tell a hacker? And what are they for, briefly?
- Python and iOS Dev
- [P] Depix AI Recovers Pixelized Passwords, Earns 10K GitHub Stars
- [N] NeurIPS 2020 | Conference Watch on Self-Supervised Learning
| Posted: 11 Dec 2020 07:57 AM PST |
| Computer science/software developers, do you enjoy your job? Posted: 11 Dec 2020 10:42 PM PST I don't know what to call it, software developers, engineers, etc. What are some pros and cons? Is there job security? Is it in high demand? Will it still be around in the next 50 years? thank you in advance. [link] [comments]  |
| Posted: 11 Dec 2020 07:33 PM PST |
| Posted: 11 Dec 2020 02:47 PM PST Over the summer, I made an app using Swift without realizing that Swift was almost only used for developing apps for Apple products. I'm planning on making another app and I'm confused on what language and IDE to use. I used Xcode in the summer and it was nice and easy to design the app layout and code. I want to use python to make another app, but connecting python to Xcode seems like a lot. My question is, does anyone know what other programs like Xcode, Visual Studio, Flutter etc allow you to use python to make iOS apps? [link] [comments]  |
| [P] Depix AI Recovers Pixelized Passwords, Earns 10K GitHub Stars Posted: 11 Dec 2020 11:59 AM PST information by dramatically reducing the resolution of sensitive areas in an image. For years, the technique has had broad applications in security and censorship — but its days may be numbered. "Depix" is a new AI-powered tool that can easily undo pixelization to enable recovery of the information therein. Uploaded this week, the project has already received nearly 10,000 stars on GitHub. The Depix project is on GitHub. Here is a quick read: Depix AI Recovers Pixelized Passwords, Earns 10K GitHub Stars [link] [comments]  |
| [N] NeurIPS 2020 | Conference Watch on Self-Supervised Learning Posted: 11 Dec 2020 08:05 AM PST This year, NeurIPS is hosting two workshops dedicated to self-supervised learning: "Self-Supervised Learning for Speech and Audio Processing" from 6:50 am to 4:25 pm PT (2:50 pm to 12:25 am UTC) on Friday, December 11; and "Self-Supervised Learning — Theory and Practice" from 8:50 am to 6:40 pm PT (4:50 pm to 2:40 am UTC) on Saturday, December 12. Workshop organizers say the machine learning community is keen to adopt self-supervised approaches to pre-train deep networks as this makes it possible to use the tremendous amount of unlabelled data available on the Internet to train large networks and solve complicated tasks. The main active SSL research direction is in speech and audio processing, particularly automatic speech recognition, speaker identification and speech translation. Challenges in the field include the modelling of diverse speech and languages and improving audio processing. Also, most existing SSL research has been driven to improve empirical performance, proceeding at speed but without a strong theoretical foundation. NeurIPS 2020 is offering these workshops to open and encourage discussion on such unexplored territories in SSL research. LeCun will give a talk in the Self-Supervised Learning — Theory and Practice workshop, which will feature SSL-interested researchers from various domains, including Google Brain Research Scientists Quoc V. Le and Chelsea Finn. The workshop will explore the theoretical foundations of empirically well-performing SSL approaches, and how the theoretical insights can further improve SSL's empirical performance. Finn is also scheduled for a talk at the Self-Supervised Learning for Speech and Audio Processing workshop, where he will be joined by Dong Yu from Tencent, Mirco Ravanelli from MILA, among other speakers. Here is a quick read: NeurIPS 2020 | Conference Watch on Self-Supervised Learning [link] [comments]  |
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