[AI application] AI agent plays Contra Computer Science |
- [AI application] AI agent plays Contra
- A Computer Architecture Built in Logicly (Fibonacci Sequence)
- [R] [P] Google AI Blog: Lyra: A New Very Low-Bitrate Codec for Speech Compression
- [N] Better Than Capsules? Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks
- Does a nondeterministic TM have different definitions of termination for computability and complexity?
- Mandelbrot Tutorial - Digital Logic
- [N] Facebook AI's Multitask & Multimodal Unified Transformer: A Step Toward General-Purpose Intelligent Agents
- Why use a rational database such as MySQL rather than just creating a data structure such as a hash table?
- Intro to Bias in AI
- Tom Cruise deepfake videos are all over the internet and passing the best deepfake detectors!
- Senior Project Web Ideas
- Number theory and algorithms: An invitation to a collaborative study group
- Help understanding this code for creating a heap from an array
- Shall a database system be wrapped in a RPC or web service, before serving other subsystems in a distributed system?
- P=NP proved by polynomial time algorithm for #2SAT
[AI application] AI agent plays Contra Posted: 26 Feb 2021 05:14 PM PST |
A Computer Architecture Built in Logicly (Fibonacci Sequence) Posted: 26 Feb 2021 07:43 AM PST |
[R] [P] Google AI Blog: Lyra: A New Very Low-Bitrate Codec for Speech Compression Posted: 26 Feb 2021 08:55 PM PST Google and Victoria University of Wellington recently published a paper Generative Speech Coding With Predictive Variance Regularization on arXiv. Abstract: The recent emergence of machine-learning based generative models for speech suggests a significant reduction in bit rate for speech codecs is possible. However, the performance of generative models deteriorates significantly with the distortions present in real-world input signals. We argue that this deterioration is due to the sensitivity of the maximum likelihood criterion to outliers and the ineffectiveness of modeling a sum of independent signals with a single autoregressive model. We introduce predictive-variance regularization to reduce the sensitivity to outliers, resulting in a significant increase in performance. We show that noise reduction to remove unwanted signals can significantly increase performance. We provide extensive subjective performance evaluations that show that our system based on generative modeling provides state-of-the-art coding performance at 3 kb/s for real-world speech signals at reasonable computational complexity. Yesterday Google AI Blog officially introduced the new method described in this paper - named Lyra, a high-quality, very low-bitrate speech codec that makes voice communication available even on the slowest networks. [link] [comments] |
Posted: 26 Feb 2021 07:12 PM PST A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image. Here is a quick read: Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks The paper How to Represent Part-Whole Hierarchies in a Neural Network is on arXiv. [link] [comments] |
Posted: 26 Feb 2021 02:00 PM PST In Sisper's Introduction to Theory of Computation, Section 3.2 VARIANTS OF TURING MACHINES says
Section 7.1 MEASURING COMPLEXITY says
Is it correct that all the branches of a nondeterministic TM are running in parallel? When some branch leads to the accept state, does the nondeterministic TM stop running by aborting all other branches which are still running? (It seems to me yes according to Section 3.2, but no according to Section 7.1) In the definition of a nondeterministic TM accepting an input, when some branch leads to the accept state, does it matter if some other branch doesn't lead to the accept state? (I guess not) In the definition of a nondeterministic TM's running time, if some branch leads to the accept state while there is still some other branch running (i.e. with more steps than the branch), is the branch not used for determining the running time of the nondeterminitic TM? Thanks! [link] [comments] |
Mandelbrot Tutorial - Digital Logic Posted: 26 Feb 2021 03:30 PM PST Hey nerds, I made a YouTube tutorial series for building a circuit that will render the Mandelbrot set at 1024x768 resolution at 1024 iterations. The playlist can be found here: https://www.youtube.com/playlist?list=PLKdeRz8UZy3_gO3bYFKArmuEw10XRXsdX Let me know what you think. I'm using the sim called "digital" which can be downloaded here: https://github.com/hneemann/Digital Cheers - Jarvi [link] [comments] |
Posted: 26 Feb 2021 09:19 AM PST A research team from Facebook AI has proposed a Unified Transformer (UniT) encoder-decoder model that jointly trains on multiple tasks across different modalities and achieves strong performance on seven tasks with a unified set of model parameters. Here is a quick read: Facebook AI's Multitask & Multimodal Unified Transformer: A Step Toward General-Purpose Intelligent Agents The paper Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer is on arXiv. [link] [comments] |
Posted: 26 Feb 2021 03:10 PM PST I understand that security and safety is a concern, but why other than this would a web server use this rather than just building an API to work with their own data structure? Is it simply just because of security and safety, and no need to "reinvent the wheel"? [link] [comments] |
Posted: 26 Feb 2021 02:53 PM PST |
Tom Cruise deepfake videos are all over the internet and passing the best deepfake detectors! Posted: 26 Feb 2021 02:40 PM PST |
Posted: 26 Feb 2021 12:50 PM PST |
Number theory and algorithms: An invitation to a collaborative study group Posted: 26 Feb 2021 08:26 AM PST Hello everyone, This is an invitation to a collaborative study group on Number theory and algorithms. Mainly, We rely upon Lewinter's text. No notable background is required, However, Solving more challenging problems, Even beyond the book's level, is encouraged. Here is a simple problem we were starting out with, Check it out. Send me a direct message with your email if you are interested in joining. [link] [comments] |
Help understanding this code for creating a heap from an array Posted: 26 Feb 2021 07:36 AM PST This is code from my data structures and algorithms textbook. So the heap in this scenario is an encapsulated array where the elements of the heap start at index 1, not 0, and work as a dynamic array, where when the array is full, the elements of the array will be moved to a new array of about double the size of the old one. This is the constructor that specifically takes an array of items. So of course you need to make the encapsulated array able to take all of the items of the passed array. But why does the code do it this way?? I don't understand line 3. Why not just do Why is it Is this just a really strange and quirky way to do this, or is there actually a reason behind this? [link] [comments] |
Posted: 26 Feb 2021 06:09 AM PST Is it correct that to create a distributed system nowadays
A database system is commonly used in a distributed system, and has its own protocol (e.g. postgresql, mongodb, ... have their own protocols, which have been wrapped in JDBC, ODBC, or even ORM). How shall other subsystems communicate with it?
Thanks. [link] [comments] |
P=NP proved by polynomial time algorithm for #2SAT Posted: 26 Feb 2021 07:19 AM PST Hello, I present a #2SAT polynomial time algorithm as per my academia.edu paper here: which proves P=NP. The idea is to index the counts of pairs of variables at each clause moving from 1st to last clause in the complete CNF file, and simultaneously populating the total Satisfiability count. Tell me your thoughts/remarks/suggestions/critics on this. Thanks Vinay [link] [comments] |
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