A collection of not-so-common online courses in Computer Science Computer Science |
- A collection of not-so-common online courses in Computer Science
- Free Webinar - Challenges & Solutions for 3D LiDAR Annotation & 3D Data Sets
- Hyperloglog - The best way to estimate cardinality in a multiset
- [R] Facebook AI Model Directly Translates 100 Languages Without Using English Data
- [R] UK Researchers Say AI Needs More Animal Sense
| A collection of not-so-common online courses in Computer Science Posted: 20 Oct 2020 05:44 AM PDT (I hope this post isn't breaking any rules - mods please let me know if it is). Since most semesters have moved online where I live, a lot of professors are putting up their courses online for the general public. Here's a small list of courses I've found (other than the more common ones which are found easily online). I hope these are useful to people. Algorithmic Game Theory - IIT Kharagpur Parameterized Algorithms - IIT Kharagpur Parameterized Complexity - IMSc, Chennai Algorithms for Big Data - IMSc Chennai Analysis of Boolean Functions - TIFR, Bombay Advanced Computer Architecture - IIT Delhi Foundations of Intelligent and Learning Agents - IIT Bombay Advanced Graph Algorithms - IIT Madras Information Theory, IISc Bengaluru (This might not be so advanced, but is intended as a graduate level course where I study) If you have other courses available from your uni/country which are publicly available, please do share them! [link] [comments] |
| Free Webinar - Challenges & Solutions for 3D LiDAR Annotation & 3D Data Sets Posted: 21 Oct 2020 02:53 AM PDT |
| Hyperloglog - The best way to estimate cardinality in a multiset Posted: 20 Oct 2020 08:12 AM PDT A lot of time you'll come across this problem in computer science where you are given a list of elements let's say "user_id" of customers that visit a particular website on a day, you have to find how many unique customers are there in a list. Hyperloglog is another probabilistic data structure best suited to solve these kind of problems, it is used to find the cardinality of a multiset(can have multiple occurrences of same element). It is being used in most of big data systems to compute the count of distinct elements. If you want to learn more about it 👉https://apoorvtyagi.tech/hyperloglog-cardinality-estimation [link] [comments] |
| [R] Facebook AI Model Directly Translates 100 Languages Without Using English Data Posted: 20 Oct 2020 12:21 PM PDT To better preserve meanings and improve accuracy, Facebook AI yesterday open-sourced an MMT model that directly trains on Chinese to French and other language-pair data. Facebook is hailing the new M2M-100 (Many-to-Many) model as a "major milestone" in their years of work in MMT and the first AI model that can directly translate between any pair of 100 languages without relying on any English data. In quality evaluations, when translating between non-English languages using the popular BLEU (Bilingual Evaluation Understudy) metric, M2M-100 achieved a 10 BLEU point improvement over English-centric multilingual models. "This English-Centric bias in the data and resulting models is not reflective of how people use translation and empirically leads to lower performance for non-English translation directions," reads the paper Beyond English-Centric Multilingual Machine Translation. Here is a quick read: Facebook AI Model Directly Translates 100 Languages Without Using English Data The paper Beyond English-Centric Multilingual Machine Translation is on this Facebook repository, and the open-source project can be found on GitHub. [link] [comments] |
| [R] UK Researchers Say AI Needs More Animal Sense Posted: 20 Oct 2020 08:34 AM PDT The incomplete understanding of human brains and how to endow computers with common sense are among AI's most enduring challenges. New research from DeepMind London, Imperial College London and the University of Cambridge argues that common sense in humans is founded on a set of basic capacities that are also possessed by many other animals, and that animal cognition can therefore serve as inspiration for many AI tasks and curricula. In a paper published in Trends in Cognitive Sciences journal this month, the researchers identify just how much AI research might benefit from the field of animal cognition. Here is a quick read: UK Researchers Say AI Needs More Animal Sense The paper Artificial Intelligence and the Common Sense of Animals is on Cell Press Reviews. [link] [comments] |
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