Brief Video of Claude Shannon and others discussing AI Computer Science |
- Brief Video of Claude Shannon and others discussing AI
- What kind of OS does NASA's InSight lander has?
- Artificial Intelligence to implement the Optimal/Clairvoyant Page Replacement Algorithm?
- Seven Sketches in Compositionality: An Invitation to Applied Category Theory
- Long Polling - Concepts and Considerations
- How might stable, large qubit quantum computers progress machine learning and AI?
- Examples of alternating series test in algorithms analysis?
- Quick Question about Computer Graphics Display and Rendering
- Google Researchers Add Attention to Augment Convolutional Neural Networks
- Transistors III
Brief Video of Claude Shannon and others discussing AI Posted: 01 May 2019 09:29 AM PDT I found this great clip of Claude Shannon and others discussing what were, at the time, new ideas in AI. It's remarkable how advanced some of the things they worked on were, including large scale language translation. [link] [comments] |
What kind of OS does NASA's InSight lander has? Posted: 02 May 2019 04:13 AM PDT I've been wondering for some time how it is controlled from Earth and what is the hardware it uses. I can't find it on NASA's page. Do you have any insight on the subjet? [link] [comments] |
Artificial Intelligence to implement the Optimal/Clairvoyant Page Replacement Algorithm? Posted: 02 May 2019 03:54 AM PDT Just a thought I had while revising for my Operating Systems exam, currently it is said to be impossible to implement the Optimal Page Replacement algorithm that is supposed to find the page to swap that will not be referenced the furthest in the future "due to the inherent impossibility to predict future behaviour". Would AI be one day "smart" enough to predict the page frames' behavior or would it be too costly to implement for little to no improvements in terms of latency? [link] [comments] |
Seven Sketches in Compositionality: An Invitation to Applied Category Theory Posted: 01 May 2019 05:33 AM PDT |
Long Polling - Concepts and Considerations Posted: 02 May 2019 02:47 AM PDT |
How might stable, large qubit quantum computers progress machine learning and AI? Posted: 01 May 2019 08:09 PM PDT From what I know of quantum computers, they are not good at being a conventional computer, although they can process many inputs at once via superposition. Being that all the big machine learning algorithms were designed for conventional computers, would mainstreamed quantum computers have a significant effect on the power of these algorithms, things like neural nets etc.? Or do we need to invent entirely new algorithms? [link] [comments] |
Examples of alternating series test in algorithms analysis? Posted: 01 May 2019 11:03 AM PDT Oldham & Spanier et al., An Atlas of Functions 2e, makes the following comment on page 5:
Is anyone familiar with such an application of the alternating series test? The book only mentions alternating series a few other times in different contexts, and searching CLRS turns up nothing. Are the algorithms to which the above quote refers mostly numerical-analytic in nature? [link] [comments] |
Quick Question about Computer Graphics Display and Rendering Posted: 01 May 2019 08:25 AM PDT Quick question but a bit of context before I ask it: A computer has a GPU and it executes instructions for accomplishing graphical calculations. The computer also has a display device (monitor) which it can use to display images. Given that to be the case, does that mean that every image rendered by a computer and displayed using a monitor is actually just a visual representation of the graphical calculations it made? If so, then I guess it can be assumed that computers just solve maths problems and then use output devices to represent their calculations in some way that is useful to their users. The answer to this question might be obvious, but honestly, I just want a bit of confirmation, really. [link] [comments] |
Google Researchers Add Attention to Augment Convolutional Neural Networks Posted: 01 May 2019 08:20 AM PDT A group of Google researchers led by Quoc Le — the AI expert behind Google Neural Machine Translation and AutoML — have published a paper proposing attention augmentation. In experiment results, the novel two-dimensional relative self-attention mechanismfor image classification delivers "consistent improvements in image classification." For more information https://medium.com/syncedreview/google-researchers-add-attention-to-augment-convolutional-neural-networks-1490e9c245e1 [link] [comments] |
Posted: 01 May 2019 03:31 PM PDT What is the function of a transistor in particular in computers? What are they supposed to do? [link] [comments] |
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