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Character.ai was established in November 2021. [8] The company's co-founders, Noam Shazeer and Daniel De Freitas, were both engineers from Google. [9] While at Google, the co-founders both worked on AI-related projects: Shazeer was a lead author on a paper that Business Insider reported in April 2023 "has been widely cited as key to today's chatbots", [10] and De Freitas was the lead designer ...
For magnifying computer graphics with low resolution and few colors (usually from 2 to 256 colors), better results will be achieved by pixel art scaling algorithms such as hqx or xbr. These produce sharp edges and maintain high level of detail. Unfortunately due to the standardized size of 218x80 pixels, the "Wiki" image cannot use HQ4x or ...
In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [ 1][ 2] confabulation[ 3] or delusion[ 4]) is a response generated by AI which contains false or misleading information presented as fact. [ 5][ 6][ 7] This term draws a loose analogy with human psychology, where hallucination ...
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Ultrafilter on a set. The powerset lattice of the set {1,2,3,4}, with the upper set ↑ {1,4} colored dark green. It is a principal filter, but not an ultrafilter, as it can be extended to the larger nontrivial filter ↑ {1}, by including also the light green elements. Since ↑ {1} cannot be extended any further, it is an ultrafilter.
Pixel art scaling algorithms are graphical filters that attempt to enhance the appearance of hand-drawn 2D pixel art graphics. These algorithms are a form of automatic image enhancement. Pixel art scaling algorithms employ methods significantly different than the common methods of image rescaling, which have the goal of preserving the ...
Machine learningand data mining. A convolutional neural network ( CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by using regularized weights over fewer ...
Non-local means. Non-local means is an algorithm in image processing for image denoising. Unlike "local mean" filters, which take the mean value of a group of pixels surrounding a target pixel to smooth the image, non-local means filtering takes a mean of all pixels in the image, weighted by how similar these pixels are to the target pixel.