Artificial Intelligence

It should not surprize you but the following is entiely AI generated, in fact I have shortened it so that it is a manageable read. Produced by AI in less than 10 seconds.

For those of you who are perhaps more interested in doing your own research please go to the list of suggested sites. For further information search Google or YouTube with the section titles which are in bold. 

As always please contact me over WhatsApp if you need any help or advice.

Definition of AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines or computer systems. It encompasses the development of algorithms, software, and hardware that enable computers and machines to perform tasks that typically require human intelligence. These tasks include problem-solving, learning, reasoning, perception, understanding natural language, and adapting to new situations.

AI can be classified into two main categories:

1.    Narrow or Weak AI: This type of AI is designed for a specific task or a limited range of tasks. It is highly specialized and cannot perform tasks outside its predefined scope. Examples of narrow AI include virtual personal assistants like Siri, chatbots, and recommendation systems.

2.    General or Strong AI: General AI refers to machines with human-like intelligence, capable of understanding, learning, and performing any intellectual task that a human can do. General AI remains largely theoretical and has not been achieved yet.

AI technologies encompass various subfields, including machine learning, natural language processing, computer vision, robotics, and expert systems. Machine learning, in particular, plays a significant role in AI by allowing systems to learn from data and improve their performance over time.

AI has a wide range of applications across industries, from healthcare and finance to transportation and entertainment. It is continually evolving and holds the potential to revolutionize how we interact with technology and address complex problems.


Brief overview of the history of AI

The history of Artificial Intelligence (AI) spans several decades and is marked by significant developments and milestones. Dartmouth Workshop (1956): The term “Artificial Intelligence” was coined at the Dartmouth Workshop in 1956. This event is often considered the birth of AI.

Overview of various applications of AI

Artificial Intelligence (AI) has a wide range of applications across various industries and domains. Here’s an overview of some of the diverse applications of AI:

1.    Healthcare:

2.    Finance:

3.    Transportation:

4.    Retail.

5.    Manufacturing:

6.    Natural Language Processing :

7.    Entertainment:

8.    Energy and Sustainability:

9.    Agriculture:

10.Government and Defence:

These applications represent only a fraction of the many ways AI is transforming industries and improving our daily lives. As AI technology continues to advance, it is likely to find even more applications across a wide spectrum of domain

Influence of AI on photography

Artificial Intelligence (AI) has had a significant influence on the field of photography, leading to the development of new tools and techniques that enhance the way photographs are taken, edited, and shared. Here are some of the key ways AI has influenced photography:

1.    Image Enhancement:

·       Automatic Color Correction: AI can analyze and correct color balance and exposure issues in photos, resulting in more visually appealing images.

·       Noise Reduction: AI-based algorithms can reduce noise and artifacts in low-light or high ISO photos, improving image quality.

2.    Image Editing and Retouching:

·       AI Filters and Effects: AI-powered filters and effects, such as those found in apps like Prisma, transform photos into various artistic styles.

·       Portrait Retouching: AI tools can automatically retouch portraits by removing blemishes, enhancing skin tones, and even changing eye and hair color.

3.    Object and Scene Recognition:

·       Subject Recognition: AI can identify and tag objects or subjects within photos, making it easier to search and categorize images.

·       Automatic Tagging and Captioning: AI can automatically generate captions and tags for photos based on the objects and scenes detected, making photo organization more efficient.

4.    Image Compression:

·       Efficient Compression: AI-powered image compression techniques, like Google’s WebP, reduce file sizes while preserving image quality, which is crucial for fast web loading.

5.    Content-Aware Scaling:

·       Intelligent Cropping: AI can automatically crop images while preserving the most important elements, ensuring that the subject remains prominent.

6.    Image Restoration:

·       Photo Restoration: AI models can restore old, damaged, or faded photos by filling in missing or damaged areas.

7.    Deep Learning Super-Resolution:

·       Upscaling: AI, particularly deep learning models, can upscale low-resolution images to higher resolutions, creating more detailed and visually appealing photos.

8.    Photography Assistance:

·       Composition Suggestions: Some AI-powered camera systems offer real-time composition suggestions, helping photographers frame shots more effectively.

·       Low-Light Photography: AI helps improve the quality of photos taken in low-light conditions by enhancing brightness and reducing noise.

9.    Facial Recognition:

·       Automatic Tagging: AI can recognize and tag people in photos, making it easier to organize and search for images with specific individuals.

10.Custom Filters and Styles:

·       Personalized Filters: AI tools can generate custom filters and styles for photographers, allowing them to create unique looks for their photos.

11.Photography Apps and Services:

·       Many photography apps and services, like Google Photos, Apple Photos, and Adobe Lightroom, incorporate AI features to enhance the user experience and automate tasks.

12.AI-Generated Art: AI has the capability to generate art, including images, which can be used as a creative tool by photographers.

AI continues to advance in the field of photography, making it more accessible and efficient for both professional and amateur photographers. These AI-driven tools have the potential to streamline the photographic process, enhance creativity, and produce high-quality results. However, they also raise important discussions about the authenticity of images and the ethical use of AI in altering visual content.

Benefits of AI in Photography:

1.    Enhanced Image Quality: AI-powered tools can improve image quality by enhancing colors, reducing noise, and correcting exposure, resulting in more visually appealing photos.

2.    Time and Cost Efficiency: AI streamlines the photo editing process, reducing the time and effort required to edit and retouch photos. This is especially valuable for professional photographers.

3.    Image Organization: AI can automatically tag and categorize images, making it easier to search for specific photos, thereby simplifying photo management.

4.    Creativity and Artistic Expression: AI can be used to generate unique filters, styles, and artistic effects, allowing photographers to explore new creative possibilities.

5.    Image Restoration: AI can restore old or damaged photos, preserving important memories that might otherwise be lost.

6.    Object and Scene Recognition: AI can identify subjects and scenes within photos, aiding in automatic tagging and metadata generation.

7.    Facial Recognition: AI-driven facial recognition technology can help in organizing and searching for photos of specific individuals.

8.    Personalized Recommendations: AI can suggest personalized compositions, styles, and editing options based on a photographer’s preferences and past work.

9.    Automation in Post-Processing: AI can automate repetitive tasks such as cropping, straightening, and retouching, freeing up photographers to focus on more creative aspects.

Suggested websites

Search on the headings in bold for further information

Remove Tool                                                                  

Remove background in a photograph.                     

Sharpening Photographs                                            

Removing Noise from photographs                          

Colorise old black and white photographs              


Photoshop Beta

This is only available if you subscribe to Adobe. Amongst the various programs available to you is Photoshop Beta. Go to Filters>Neural Filters


A list of programmes that are still in development are then shown on the right hand side. Most are self explanatory but have fun with Smart Portrait to make a model look older or younger, you can also change the direction of their eyes. Restore photo is good but there are better programmes for colouring black and white images.



If you do not use Photoshop or Lightroom have a look at there are a number of similar sites which are available through a Googlre search they are often free to use.

For further tuition, I would recommend the following



I find it useful to view the tutorial on a laptop or tablet and pause it when viewing the image you are editing on your desktop.