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1. **1. Create a new file in Photoshop.**

Don’t save the file as a JPEG as we’ll do for the next example. We’ll create a file in RGB mode to get a real-world RGB representation.

2. **2. Choose File** ⇒ **New.**
3. **3. In the New File dialog box, navigate to the Color section and choose RGB Color. Click OK.**
4. **4. Name your image File1.**
5. **5. Choose Filter** ⇒ **Desaturate.**
6. **6. Click OK to accept the default filter settings.**

Photoshop desaturates the image, making it have a gray tint. Make sure that your image doesn’t look blurred; if it does, click and drag the Smart Sharpen Tool located on the Threshold Options bar near the top of the screen to sharpen it.

7. **7. Choose File** ⇒ **Save As.**
8. **8. In the Save As dialog box, navigate to the Layers section and, in the File Name box, enter** _**File1.psd**_ **. Make sure that the Save Options area is set to Save for Web, Save for Devices, and 8-bit.**
9. **9. Click Save.**

Your image should now look like Figure 7-3.

FIGURE 7-3: The image after it’s been desaturated and sharpened.

# Adjusting Lighting with the Levels Panel

Photoshop offers several ways to adjust lighting and other effects. As with any program, the possibilities are many, but the following two tools are free and frequently used.

The Levels panel enables you to do the following:

* **Lighten or darken an entire image:** You may think that lightening an image makes it brighter, but this is not always the case. When you lighten or darken an image, you’re also reducing contrast, so subtle differences between dark and light areas in the image are less noticeable. And when you overexpose an image (making it brighter than the camera sensor was designed to capture), you render colors in the image _semi-transparent_, making it difficult to distinguish between colors that are already bright and those that are darker than they should be. If you want to lighten or dark

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After editing your image, try to print it as an 8.5 x 11” photo. If you don’t have a printer, use an image-editing program on your computer to make your image fit the space.

All printers can produce exact 8.5 x 11” prints, so this should work.

In Photoshop Elements, click File > Print and choose the final size of your photo: 8.5 x 11”

You can also print your final image at any size within your printer’s maximum printing size. In most cases, the maximum size is 8.5 x 11”. You can change the size by using Image > Image Size and using the Print Size options.

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For some great examples of how to transform images into memes, check out this post.

Once you’ve cropped out the edges of the image, save it as a new image.

What is AutoSmile

AutoSmile is a Mac app that replicates the Stickered app on other platforms. It’s simple and can perfectly recreate the Stickered effects.

Install the app and launch it.

In the app, scroll down, then click “Add Effect”.

Select a Stickered filter from the Stickered Effect Filter list.

Click “Select”, then click and drag any of the Stickered filters in the app to the part of the image you want.

When you have the filters you want, click “Add Effect”.

You can do this with most of the filters to create a variety of memes.

If you want a different kind of Stickered filter, click “Create New” and select “Stickered”.

If you’re not using a Mac, check out my guide on how to make memes in Firefox and other browsers.

How to Transform a Meme into a Stickered Head

This is a simple technique I learned from a blogger called Raspberry Memory. He makes some really amazing memes, so take a look.

He uses the following process to create a Stickered Head:

Create a new image with the same dimensions as your Stickered image.

Then, open a new image.

In Photoshop Elements, press Shift + Opt + G (Windows) or CMD + Opt
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Adobe Photoshop 2021 (Version 22.3)

Many people worry about the potential of certain computerized systems to act irrationally and prevent people from carrying out the „right“ actions. Machines may be rational, but how can we know how they process and respond to information? Is it possible for an AI to suffer from the „evil twin“ problem?

The evil twin problem describes an attribute that allows the human mind to self-correct, preventing an AI from having the same errors as human beings.

We can think of this as a measure of intelligence. An AI that learns what people expect from it, and copies that expectation, can never learn from mistakes. Its judgments and decisions will always be biased. It won’t have the human ability to self-correct for its mistakes.

This problem highlights a tension between the useful and intelligent AI and the motivation to create the AI. Some argue that we should not create AI for the sole purpose of creating AI.

„We shouldn’t create [AI] because we want it to feel like we are a benevolent master over a powerful race of slaves,“ said Stuart Russell. „We should create it because we want it to reduce the risk to our lives and families from various threats to them. And that’s true regardless of whether an AI turns out to be benevolent or malevolent.“

„The point is that the intentions of the AI designer are irrelevant to the design goal,“ said Stuart Russell. „So long as there are safeguards which guarantee that the AI will behave in a well-defined way, the specific intention of the AI designer is not relevant to the task of designing the AI.“

Russell considers the problem of creating the AI more daunting than building the technology to process all the information involved in creating the AI, and designing the AI’s goals.

„Consider the case of all the data for a goal of making an AI. Once you start collecting data, it’s a cinch to get to a goal with a goal learning system. But once you have collected all the data, how do you design the goals and values of the AI?“

Russell suggested that once we create an AI, we have the responsibility for keeping it safe from misuse. We already have a system in place to make sure the computers we use are built with fail-safe mechanisms.

One way to keep the AI safe from misuse is to keep it away from the Internet.

„One solution to this problem is to make AI agents in independent worlds, so that there is no way for them to

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Decision trees for the prediction of physical and psychiatric disorders in the young.
Diagnostic interviews, which are standard procedures in psychiatric research, are expensive, time consuming and not available to all clinicians. This study tested the value of decision trees in the early identification of psychiatric disorders in primary care, by a computer model trained with the diagnoses of a large sample of youth from general practices. Our study population consisted of 6-13-year-old children who were children of parents with no symptoms of psychiatric disorders referred by their general practitioner and who had undergone a computer-assisted diagnostic interview (CIDI) to assess lifetime psychiatric disorders. Decision trees were constructed with the presence or absence of a variety of physical and psychosocial problems as input variables (i.e., variables indicating the risk for a psychiatric disorder) and the presence or absence of a current psychiatric diagnosis as output variables. They were compared to the results of Bayes theorem and logistic regression models using receiver operating characteristics curves (ROC). The decision trees were the best models for the prediction of the presence of a psychiatric disorder and internalizing and externalizing disorders. These findings provide support for the predictive value of decision trees for psychiatric disorders in youth and suggest that they are particularly useful for training physicians on assessing a broad spectrum of physical and psychological problems in pediatric primary care.P1]“ = 0x00;
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System Requirements For Adobe Photoshop 2021 (Version 22.3):

General:
Supported Operating Systems:
Windows 98, ME, 2000, XP, 2003, Vista, Windows 7
64-bit Processor
32-bit Processor with SSE2 technology
2 GB RAM
2 GB available hard drive space
16-bit Soundcard with DirectSound support
NVIDIA GeForce 6600 or ATI Radeon X800 or ATI Radeon X2000 graphics adapter
DirectX® 9.0c compatible graphics card
NVIDIA Quadro FX or ATI Radeon HD-series card with 256MB VRAM or higher

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