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What is AI?

There are two main types of AI: narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems. Examples include voice assistants like Siri and Alexa, recommendation algorithms used by streaming platforms and image recognition systems. In contrast, general AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess human-level intelligence and can perform almost any intellectual task that a human can do.

AI has a wide range of applications across various industries and domains. It’s used in healthcare for disease diagnosis and drug discovery, in finance for fraud detection and algorithmic trading, in transportation for autonomous vehicles, and in customer service for chatbots.

Although many individuals and companies now use AI in their daily tasks, AI systems lack common sense reasoning and understanding, as well as the ability to fully replicate human intelligence and consciousness.

General AI Examples

Chat GPT

Chat GPT (Generative Pre-trained Transformer) is an artificial intelligence language model that is designed to generate human-like responses to text input. It is one of the largest and most advanced language models currently available, developed by OpenAI using a large dataset of text from the internet.

Midjourney

Midjourney is an AI program that is used to generate images through word prompts (text descriptions) and uses the platform Discord to host and create.

Krisp

Krisp is a noise cancelling and voice suppression AI that can help with the audio editing process, such as podcast, movie and music creation.

Slides AI

Slides AI is a text to presentation tool that can create visually pleasing slides from text.

Super Creator

The Supercreator.ai app can create original videos that can be used on social media platforms such as TikTok and Instagram.

AI Uses for Text

Text Completion: Given a prompt or sentence, AI can generate a coherent and plausible continuation.
Text Generation: AI can generate coherent and creative text on a given topic, such as writing an essay or a news article.
Chatbots: AI can be used to develop conversational agents or chatbots that can converse with users in a natural and engaging way.
Language Translation: AI can be used for machine translation of text from one language to another.
Text Summarization: AI can be used to summarize long documents or articles into shorter and more digestible summaries.
Sentiment Analysis: AI can be used to analyze the sentiment of a given text, whether it’s positive, negative or neutral.
Recommendation Systems: AI algorithms can analyze user preferences, behaviours and patterns to provide personalized recommendations. They are commonly used in e-commerce, streaming platforms and content recommendation.
Data Analytics: AI techniques are employed in data analytics to extract insights, identify patterns and make predictions from large and complex datasets. This can help businesses and organizations in areas such as predictive analytics, fraud detection and customer segmentation.

AI Uses for Images & Video

Image Recognition: AI algorithms can be trained to recognize and classify objects, people and scenes within images. This technology is employed in various applications, such as facial recognition, object detection and image categorization.
Object Detection and Tracking: AI systems can identify and track specific objects within images or videos. This is useful in applications like surveillance, autonomous driving and robotics.
Image Captioning: AI models can generate natural language descriptions or captions for images. This capability is utilized in areas like accessibility for visually impaired individuals and content indexing.
Image Generation: AI techniques like generative adversarial networks (GANs) can generate new, realistic images. This has applications in areas such as art, design and content creation.
Image Restoration and Enhancement: AI algorithms can restore old or damaged images, remove noise or artifacts and enhance image quality. This is particularly useful in fields like archaeology, forensics and digital imaging.
Medical Imaging Analysis: AI is employed in medical imaging to assist in diagnosis, screening and treatment planning. It can help detect abnormalities in X-rays, MRIs and CT scans, aiding radiologists in their interpretation.
Augmented Reality (AR): AI plays a crucial role in AR technologies, which overlay virtual information onto the real world. AI algorithms are used to track and recognize objects in real-time, enabling virtual objects to interact with the physical environment.