This chapter explores emerging trends in computer science that are shaping the future of technology and society.
Emerging Trends - Quick Look Revision Guide
Your 1-page summary of the most exam-relevant takeaways from Computer Science.
This compact guide covers 20 must-know concepts from Emerging Trends aligned with Class 11 preparation for Computer Science. Ideal for last-minute revision or daily review.
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Key Points
Define Artificial Intelligence.
AI simulates human intelligence in machines, performing tasks like learning and decision-making.
What is Machine Learning?
Machine Learning allows systems to learn from data patterns without explicit programming, making predictions.
Explain Natural Language Processing (NLP).
NLP enables computers to understand human language, facilitating interactions through text and voice commands.
What is Virtual Reality (VR)?
VR immerses users in a computer-generated environment, simulating reality for interactive experiences.
Define Augmented Reality (AR).
AR overlays digital information on the real world, enhancing user experiences with interactive elements.
What are sensors in robotics?
Sensors collect data from the environment, allowing robots to respond to changes and perform tasks accurately.
Discuss the concept of Big Data.
Big Data refers to vast amounts of unstructured data generated at high speed, requiring advanced analytics to process.
Characteristics of Big Data.
Big Data is defined by Volume, Velocity, Variety, Veracity, and Value, which highlight its complexity.
Define Data Analytics.
Data analytics involves examining datasets to draw meaningful insights, often using specialized tools.
What is the Internet of Things (IoT)?
IoT connects everyday devices to the Internet, allowing them to send and receive data autonomously.
Explain Web of Things (WoT).
WoT integrates web services to facilitate communication between various devices, enhancing IoT capability.
What is Cloud Computing?
Cloud Computing delivers computing resources over the Internet, allowing access to applications and data from anywhere.
Define Infrastructure as a Service (IaaS).
IaaS provides virtualized computing resources over the Internet, like servers and storage, on a pay-per-use basis.
Explain Platform as a Service (PaaS).
PaaS offers a platform for developers to build and deploy applications without managing underlying infrastructure.
What is Software as a Service (SaaS)?
SaaS provides on-demand access to software applications, typically through subscription, without local installation.
Define Grid Computing.
Grid Computing connects multiple computing resources to work on large tasks, functioning as a virtual supercomputer.
Characteristics of Blockchain technology.
Blockchain is a decentralized ledger system enabling secure and transparent transactions without a single point of control.
Applications of Blockchain.
Blockchain can enhance security in banking, voting systems, and healthcare data management by ensuring data integrity.
Discuss the role of robotics in industries.
Robots are utilized for repetitive tasks in various sectors, improving efficiency and safety in operations.
Examples of Big Data usage.
Businesses use Big Data for market analysis, customer behavior tracking, and optimizing operations for better profitability.
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