Unit 7: Recent Trends in Technology (9 Hours)

Computer Science – Class 12

This note delves into unit 7: recent trends in technology, offering clear explanations and practical insights. It is designed to help students grasp core ideas through structured content. Whether preparing for exams or seeking conceptual clarity, this resource provides valuable support. Enhance your understanding with simplified notes and organized materials tailored to learners.

Unit 7: Recent Trends in Technology (9 Hours)

7.1 Concept of Artificial Intelligence (AI) and Robotics

  • Artificial Intelligence (AI):

    • Refers to the simulation of human intelligence processes by machines, especially computer systems.
    • Key areas include machine learning, natural language processing, and computer vision.
    • Applications: Virtual assistants (like Siri, Alexa), recommendation systems, autonomous vehicles.
  • Robotics:

    • Involves the design, construction, operation, and use of robots.
    • Robotics combines AI to enhance robot functionalities, enabling them to perform tasks autonomously.
    • Applications: Manufacturing (industrial robots), healthcare (surgical robots), and exploration (Mars rovers).

7.2 Concept of Cloud Computing

  • Cloud Computing:
    • Delivery of computing services (servers, storage, databases, networking, software) over the internet (“the cloud”).
    • Models:
      • Infrastructure as a Service (IaaS): Virtualized computing resources over the internet.
      • Platform as a Service (PaaS): Provides a platform allowing customers to develop, run, and manage applications.
      • Software as a Service (SaaS): Delivers software applications over the internet on a subscription basis.
    • Benefits: Scalability, cost efficiency, and flexibility.

7.3 Concept of Big Data

  • Big Data:
    • Refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations.
    • Characteristics known as the 3 Vs:
      • Volume: Amount of data generated.
      • Velocity: Speed at which data is generated and processed.
      • Variety: Different types of data (structured, unstructured, semi-structured).
    • Technologies: Hadoop, Spark, and NoSQL databases are commonly used to manage and analyze big data.
    • Applications: Social media analysis, healthcare diagnostics, and fraud detection.

7.4 Concept of Virtual Reality (VR)

  • Virtual Reality (VR):
    • A simulated experience that can be similar to or completely different from the real world.
    • VR technology uses computer-generated simulations to create immersive environments for users.
    • Applications: Gaming, training simulations (military, medical), and virtual tours (museums, real estate).

7.5 Concept of E-com, E-medicine, E-gov

  • E-commerce (E-com):

    • Refers to buying and selling goods or services using the internet.
    • Involves various business models, including B2B (business to business), B2C (business to consumer), and C2C (consumer to consumer).
    • Benefits: Convenience, wider reach, and lower operational costs.
  • E-medicine:

    • Involves the use of electronic communications and technology to provide health services and information.
    • Applications include telemedicine, electronic health records (EHRs), and remote monitoring.
    • Benefits: Improved access to healthcare, especially in remote areas.
  • E-governance (E-gov):

    • The use of digital tools and systems to provide government services to citizens.
    • Enhances transparency, efficiency, and accessibility in government operations.
    • Examples: Online tax filing, e-voting, and digital ID systems.

7.6 Concept of Mobile Computing

  • Mobile Computing:
    • Involves the use of portable computing devices (smartphones, tablets, laptops) that allow users to access and manage data on the go.
    • Key technologies: Wireless networks (Wi-Fi, cellular networks), mobile applications, and cloud services.
    • Applications: Navigation apps, mobile banking, and social networking.

7.7 Concept of Internet of Things (IoT)

  • Internet of Things (IoT):
    • Refers to the interconnection of everyday devices and objects to the internet, allowing them to send and receive data.
    • Examples: Smart home devices (thermostats, lights), wearable fitness trackers, and industrial IoT applications.
    • Benefits: Increased efficiency, automation, and real-time monitoring of systems.