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u Medical Diagnosis: Using deep neural networks to analyse medical data for disease detection. Example:
Identifying patterns in medical images to diagnose diseases such as cancer.

u Gaming: Enhancing gaming experiences by creating adaptive and intelligent non-player characters (NPCs)
and environments. Example: Developing game characters that learn and adapt to the player’s strategies.

u Drug Discovery: Accelerating the process of finding new drugs by analysing complex biological data.
Example: Predicting potential drug candidates by understanding molecular interactions.
Robotics

Robotics is an exciting field that creates intelligent machines—
robots—made of metal and circuits. These robots, equipped
with Artificial Intelligence (AI), can perform tasks autonomously,
making decisions and taking actions on their own. In industries,
they’re like smart workers handling tasks such as assembly.
Domestic robots, like robotic vacuum cleaners, assist with
household chores, making daily life more convenient. The
fusion of AI and robotics not only mimics human actions but
also enhances problem-solving abilities, impacting various
sectors from manufacturing to healthcare.
There are some examples of Robotics:

u Robotics in Manufacturing: Robots automate tasks in the manufacturing processes. Example: Industrial
robots assembling car parts on an assembly line.

u Medical Robotics: Applying robots for medical procedures and assistance. Example: Surgical robots assisting
in precise and minimally invasive surgeries.

u Autonomous Drones: Employing unmanned aerial vehicles for various applications. Example: Drones
autonomously surveying agricultural fields for crop health.

u Service Robots: Robots designed to assist humans in non-industrial environments. Example: Social robots
providing companionship and assistance in healthcare sector.

u Educational Robotics: Integrating robots into education for learning and experimentation. Example:
Educational robots help to teach programming concepts to students in schools.

Computer Vision
Computer Vision is like giving computers digital eyes, enabling them
to see and understand the world around them. It involves teaching
machines to interpret visual information, recognise objects, and
comprehend scenes. This technology is crucial for applications
such as self-driving cars detecting obstacles and facial recognition
systems enhancing security. Essentially, computer vision brings
a new dimension to machines, allowing them to interact with the
visual aspects of our environment in ways that were once exclusive
to human perception.
There are some examples of computer vision:

u Facial Recognition: Teaching computers to identify and verify individuals based on facial features. Example:
Unlocking a smartphone using face recognition.

u Object Detection: Enabling computers to recognise and locate objects within images or videos. Example:
Detecting and tracking cars in traffic camera footage.

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