Understanding AI

Data Analysis

• • AI can process and analyse massive amounts of data much faster than a human can. Data can be fed into the system and the AI can spot trends, outstanding features etc.

  • For example, AI can be used to analyse customer data to identify patterns and trends that can help businesses make informed decisions.

Natural Language Processing

• • AI can understand, interpret, and generate human language.

  • For example, AI-powered chatbots can understand and respond to customer queries in a natural, conversational manner.

  • NLP enables applications like speech recognition, language translation, and sentiment analysis (analysing social media posts to gauge customer sentiment towards a product).

  • Speech Recognition

    • AI-powered speech recognition technologies like Siri, Alexa, and Google Assistant can understand and respond to human speech, making it possible to control devices using voice commands.

  • Translation

    • Apps such as Google Translate.

    • It is possible to have real-time translation whereby people speaking different languages speak to each other and the AI translates each time.

    • Videos can be produced and them immediately the speech translated into any another language.

Generative AI

• • Generative AI is a subset of artificial intelligence that focuses on creating new content. It uses techniques such as machine learning and deep learning to generate outputs that can be considered creative or original. Generative AI models learn from input data, understand the underlying patterns and structures, and then create new data that is similar in structure but different in content.

  • Examples of Generative AI:

1. 1. 1. Text Generation

         • Generative AI can create pieces of text, such as articles, stories, or poems.

         • For example, OpenAI's GPT-3 has been trained on a diverse range of internet text and can generate coherent and contextually relevant sentences based on a given prompt.

      2. Image Creation

         • Generative AI can also create images.

         • There are different ways to do that including Generative Adversarial Networks (GANs) and Diffusion models.

      3. Music Composition

         • AI can generate original pieces of music after learning from a dataset of songs.

         • OpenAI's MuseNet is an AI that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles.

      4. Video Generation

         • Generative AI models can also create video clips, maybe simply from a text prompt.

         • For instance, AI algorithms can generate deepfakes, video content that realistically replaces a person in an existing video with someone else's likeness.

         • But, equally, teaching videos, or explainer videos for training staff, could be created from scratch.

      5. Drug Discovery

         • Generative AI can be used to generate molecular structures of potential new drugs, speeding up the process of drug discovery.

         • For instance, Insilico Medicine, a biotech company, uses generative AI to design novel molecules for disease targets.

• • In all these applications, the goal of generative AI is not just to replicate or automate existing content, but to generate new, original content that is contextually relevant and indistinguishable from human-created content.

Image Recognition

• AI can identify and classify objects within images.

• For example, Facebook uses AI for facial recognition to identify people in photos.

Health Care

• AI can analyse medical images, predict patient risk, and even assist in surgery.

• For example, IBM's Watson can analyse a patient's medical records and provide treatment recommendations.

Transportation & Autonomous Vehicles

• AI is used in self-driving cars to interpret sensor data, allowing the vehicle to navigate roads, recognize traffic signals, and avoid obstacles.

• Besides autonomous vehicles, AI has multiple applications within transportation such as:

  • traffic management

  • logistics

  • predictive maintenance

  • customer service

Robotics

• This is a field of AI that focuses on the design and use of robots that can interact with the physical world. Robots can be programmed to perform a variety of tasks, from assembling cars in a factory to defusing bombs or exploring other planets.