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2. Add, rename, and change your toolbar icons in AOL Desktop Gold

   help.aol.com/articles/Change-your-toolbar-icons...

   Want to make your toolbar stand out? Customize it by adding personalized labels and images. 1. Sign in to AOL Desktop Gold. 2. Right-click the toolbar icon you'd like to edit | Click Edit. 3. Search for or select an icon. 4. Enter a label name. 5. Click Save.

3. ESP game - Wikipedia

   en.wikipedia.org/wiki/ESP_game

   The ESP game (extrasensory perception game) is a human-based computation game developed to address the problem of creating difficult metadata.The idea behind the game is to use the computational power of humans to perform a task that computers cannot (originally, image recognition) by packaging the task as a game.

4. Customize your mailbox font size, sender display name, and ...

   help.aol.com/articles/customize-your-mailbox...

   AOL Desktop Gold lets you personalize the look and feel of your mailbox by adjusting your mail settings to better fit your needs. Through the settings menu you can choose how a sender's display name is shown, adjust the size of the fonts in your mailbox, customize the date column in your mailbox, and more.

5. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

6. Web colors - Wikipedia

   en.wikipedia.org/wiki/Web_colors

   In some uses, hexadecimal color codes are specified with notation using a leading number sign (#). [1] [2] A color is specified according to the intensity of its red, green and blue components, each represented by eight bits. Thus, there are 24 bits used to specify a web color within the sRGB gamut, and 16,777,216 colors that may be so specified.

7. CIFAR-10 - Wikipedia

   en.wikipedia.org/wiki/CIFAR-10

   CIFAR-10 is a labeled subset of the 80 Million Tiny Images dataset from 2008, published in 2009. When the dataset was created, students were paid to label all of the images. [5] Various kinds of convolutional neural networks tend to be the best at recognizing the images in CIFAR-10.