Emerging Chapter Trends
Emerging Chapter Trends — Study Notes
NCERT-aligned · 18 notes · 3 shown free
2.1 INTRODUCTION TO EMERGING TRENDS
Explanation2.1 INTRODUCTION TO EMERGING TRENDS
Computers have been an integral part of technological advancement for many years. With the rapid pace of innovation, new technologies and initiatives emerge almost daily. To stay informed about current and future developments, it is essential to understand and observe emerging trends in computer science and technology. Emerging trends refer to the latest, state-of-the-art technologies that gain popularity and set new directions among users and industries. While many new technologies are introduced, not all succeed; some fade away, while others prosper and persist, impacting society and the digital economy significantly. This chapter introduces several key emerging trends that are expected to shape the future of digital interaction and economic activities, including Artificial Intelligence, Big Data, Internet of Things, Cloud Computing, Grid Computing, and Blockchain technology.
- Emerging trends represent the latest technologies gaining popularity and shaping future developments.
- Many new technologies are introduced daily; only some succeed and persist over time.
- Understanding emerging trends helps in grasping the future of digital economy and society.
- This chapter covers Artificial Intelligence, Big Data, IoT, Cloud Computing, Grid Computing, and Blockchains.
- 📌 Emerging Trends: State-of-the-art technologies gaining popularity and influencing future developments.
- 📌 Digital Economy: Economic activities that result from billions of online connections among people, businesses, devices, data, and processes.
2.2 ARTIFICIAL INTELLIGENCE (AI)
Explanation2.2 ARTIFICIAL INTELLIGENCE (AI)
Artificial Intelligence (AI) is the branch of computer science that aims to simulate human intelligence in machines, enabling them to perform tasks that typically require human cognitive functions such as learning, decision-making, and problem-solving. AI systems are designed to behave intelligently by creating a knowledge base and making decisions with minimal human intervention. These systems can also learn from past experiences to improve future decision-making. Examples of AI in daily life include smartphone map applications that analyze real-time traffic data to suggest the fastest routes, automatic tagging of friends in photos on social media, and intelligent personal assistants like Siri, Google Now, Cortana, and Alexa. AI encompasses various subfields such as Machine Learning, Natural Language Processing, Immersive Experiences (including Virtual and Augmented Reality), and Robotics, each contributing uniquely to the development of intelligent systems.
- AI simulates human intelligence in machines to perform cognitive tasks.
- AI systems create knowledge bases to make decisions with minimal human input.
- AI can learn from past experiences to improve decision-making.
- Applications include digital assistants, smart maps, and photo tagging.
- 📌 Artificial Intelligence (AI): Simulation of human intelligence processes by machines.
- 📌 Knowledge Base: A store of information consisting of facts, assumptions, and rules used by AI systems for decision making.
2.2.1 Machine Learning
Explanation2.2.1 Machine Learning
Machine Learning (ML) is a crucial subset of Artificial Intelligence where computers acquire the ability to learn from data without explicit programming for specific tasks. ML uses statistical techniques and algorithms, known as models, which are tra
Practice Questions — Emerging Chapter Trends
Includes NCERT exercise questions with answers
Q1.1. List some of the cloud-based services that you are using at present.
Answer:
Cloud-based services commonly used include email services like Gmail, cloud storage services like Google Drive or Dropbox, streaming services like Netflix, online office suites like Microsoft Office 365, and social media platforms like Facebook or Instagram. These services are accessed over the internet and provide storage, computing, or application services without the need for local installation.
Explanation:
Cloud-based services are applications or resources made available to users on demand via the internet from a cloud computing provider's servers. Examples include email, file storage, and streaming services.
Q2.2. What do you understand by the Internet of Things? List some of its potential applications.
Answer:
The Internet of Things (IoT) refers to the network of physical objects embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the internet. Potential applications include smart homes (e.g., smart thermostats, lighting), healthcare (remote patient monitoring), smart cities (traffic management, waste management), agriculture (soil sensors, irrigation control), and industrial automation.
Explanation:
IoT enables devices to collect and share data, improving efficiency, automation, and decision-making across various domains.
Q3.3. Write a short note on the following: a) Cloud computing b) Big data and its characteristics
Answer:
a) Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. b) Big data refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations. Its main characteristics are often described as the 5 Vs: Volume (large amounts of data), Velocity (speed of data in and out), Variety (different types of data), Veracity (uncertainty of data), and Value (usefulness of data).
Explanation:
Cloud computing provides on-demand access to computing resources. Big data involves handling and analyzing large and complex data sets with specific characteristics.
Q4.4. Explain the following along with their applications. a) Artificial Intelligence b) Machine Learning
Answer:
a) Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Applications include speech recognition, natural language processing, robotics, expert systems, and autonomous vehicles. b) Machine Learning (ML) is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. Applications include recommendation systems, fraud detection, image and speech recognition, and predictive analytics.
Explanation:
AI encompasses a broad range of technologies that mimic human intelligence, while ML focuses on algorithms that learn from data to make decisions or predictions.
Q5.5. Differentiate between cloud computing and grid computing with suitable examples.
Answer:
Cloud computing provides on-demand access to shared computing resources over the internet, allowing users to use services like storage, applications, and servers without managing the underlying infrastructure. Example: Using Google Drive for storage. Grid computing involves a distributed architecture of large numbers of computers connected to solve a complex problem by dividing it into smaller tasks. Example: SETI@home project that uses volunteer computers to analyze radio signals for extraterrestrial intelligence. Key differences: - Cloud computing is service-oriented; grid computing is resource-oriented. - Cloud computing resources are virtualized; grid computing resources are heterogeneous and geographically dispersed. - Cloud computing is managed by providers; grid computing is often collaborative among multiple organizations.
Explanation:
Cloud computing focuses on providing scalable services to users, while grid computing focuses on pooling resources to solve large computational problems.
Q6.6. Justify the following statement- 'Storage of data is cost effective and time saving in cloud computing.'
Answer:
Cloud computing offers scalable storage solutions where users pay only for the storage they use, eliminating the need for investing in expensive hardware. Data can be accessed anytime and anywhere via the internet, reducing time spent on data retrieval and management. Cloud providers also handle maintenance, backups, and security, further saving time and cost for users.
Explanation:
The pay-as-you-go model and remote accessibility make cloud storage economical and efficient compared to traditional storage methods.
Q7.7. What is on-demand service? How it is provided in cloud computing?
Answer:
On-demand service refers to the ability to access computing resources as needed, without human interaction with service providers. In cloud computing, on-demand services are provided through self-service portals or APIs where users can provision resources like storage, processing power, or applications instantly and scale them up or down based on their requirements.
Explanation:
Cloud computing platforms automate resource allocation, enabling users to get services immediately when required, enhancing flexibility and efficiency.
Q8.8. Write examples of the following: a) Government provided cloud computing platform b) Large scale private cloud service providers and the services they provide
Answer:
a) Government provided cloud computing platform example: 'MeghRaj' is an Indian government cloud initiative providing cloud services to government departments. b) Large scale private cloud service providers include Amazon Web Services (AWS) offering services like EC2 (virtual servers), S3 (storage), and Lambda (serverless computing); Microsoft Azure providing virtual machines, databases, and AI services; Google Cloud Platform offering compute engine, storage, and big data analytics.
Explanation:
Governments often create cloud platforms for public sector use, while private companies provide cloud services commercially to a wide range of customers.
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Informatics Practices · Class 11