Daily Current Affairs : 23-December-2023

India is poised to take significant strides in Artificial Intelligence (AI) with the launch of the AI Mission, a visionary initiative announced by the Prime Minister at the Global Partnership for AI Summit. The mission sets out to bolster India’s innovation ecosystem, positioning the nation as a global frontrunner in AI development. The primary focus is on building computational capacity and providing compute-as-a-service to startups, fostering an environment conducive to AI advancement.

Objective Overview

The AI Mission encompasses several key objectives and strategic initiatives to propel India’s capabilities in AI. The overarching goals include establishing robust computing powers, enhancing services for startups, and fostering AI applications in critical sectors such as agriculture, healthcare, and education. Collaboration between the government and the private sector is a cornerstone of the plan.

Compute Capacity Expansion

  1. Building a substantial compute capacity with 10,000 to 30,000 Graphic Processing Units (GPUs).
  2. Allocating an additional 1,000-2,000 GPUs through PSU Centre for Development of Advanced Computing (C-DAC).
  3. Collaborating with the private sector for capacity building under the National Supercomputing Mission.

Incentive Models

  • Exploring incentive models like capital expenditure subsidies and operational expense-based incentives.
  • Considering a “usage” fee model to encourage participation.

Digital Public Infrastructure (DPI)

  • Establishing a DPI utilizing GPU assembly.
  • Allowing startups to access computational capacity at a reduced cost.

India Datasets Platform

  • Introduction of the India Datasets platform.
  • Offering non-personal and anonymized datasets to startups and researchers.
  • Potential directive to major tech companies to share anonymized personal data with the India Datasets platform.
Understanding Artificial Intelligence (AI)

Definition

AI involves computers or computer-controlled robots mimicking human tasks requiring intelligence and judgment. While it may not encompass the entirety of human capabilities, AI excels in specific areas.

Ideal Characteristics

  • Key feature: Capacity to rationalize and take actions with optimal chances of goal achievement.
  • Operates by learning from data and experiences, adapting responses over time.

Subset: Machine Learning (ML)

  • Focuses on developing systems that learn from data to enhance decision-making.

Deep Learning (DL)

  • Facilitates automatic learning through processing vast amounts of unstructured data.
  • Enables AI systems to improve performance and accuracy through continuous exposure to diverse datasets.
Important Points:

AI Mission Highlights

  • Prime Minister’s announcement at the Global Partnership for AI Summit.
  • Aim: Elevate India’s innovation ecosystem and global AI leadership.

Objectives

  • Build robust computing powers.
  • Enhance services for startups and entrepreneurs.
  • Foster AI applications in critical sectors.
  • Promote government-private sector collaboration.

Compute Capacity Expansion

  • 10,000 to 30,000 GPUs for substantial compute capacity.
  • Additional 1,000-2,000 GPUs via PSU C-DAC.
  • Collaboration under National Supercomputing Mission.

Incentive Models

  • Explore capital expenditure subsidies and operational expense-based incentives.
  • Consider a “usage” fee model for participation encouragement.

Digital Public Infrastructure (DPI)

  • DPI with GPU assembly.
  • Reduced-cost access to computational capacity for startups.

India Datasets Platform

  • Introduction of the India Datasets platform.
  • Provide non-personal, anonymized datasets to startups and researchers.
  • Potential directive for major tech companies to share anonymized personal data.
Understanding Artificial Intelligence (AI)

Definition

  • AI involves computers mimicking human tasks requiring intelligence and judgment.

Ideal Characteristics

  • Capacity to rationalize and take actions for goal achievement.
  • Operates by learning from data and experiences.

AI Subsets

  • Machine Learning (ML): Focus on systems learning from data for decision-making.
  • Deep Learning (DL): Facilitates automatic learning from vast unstructured data.
Why In News

India is set to make substantial strides in Artificial Intelligence (AI) with the launch of the AI Mission, as announced by the Prime Minister at the Global Partnership for AI Summit. This mission aims to enhance India’s innovation ecosystem, positioning the country as a global leader in AI. The focus includes building computational capacity and offering compute-as-a-service to startups, fostering a conducive environment for AI development.

Moreover, the initiative is poised to strengthen collaboration between academia, industry, and government, fostering a holistic approach to propel India into the forefront of AI advancements.

MCQs about India’s AI Mission

  1. What is the primary focus of India’s AI Mission?
    A. Space exploration
    B. Bolstering innovation ecosystem and global AI leadership
    C. Agricultural development
    D. Industrial expansion
    Correct Answer: B. Bolstering innovation ecosystem and global AI leadership
    Explanation: The AI Mission aims to enhance India’s innovation ecosystem and position the country as a global leader in AI.
  2. What is the key feature of AI?
    A. Mimicking human tasks requiring intelligence
    B. Capacity to rationalize and take actions for goal achievement
    C. Operating without learning from data
    D. Limited applicability in specific areas
    Correct Answer: B. Capacity to rationalize and take actions for goal achievement
    Explanation: The key feature of AI is its capacity to rationalize and take actions with the optimal chance of achieving specific goals.
  3. How is the AI Mission planning to incentivize participation?
    A. Tax deductions for AI companies
    B. Encouraging startups through mentorship programs
    C. Exploring capital expenditure subsidies and operational expense-based incentives
    D. Issuing government bonds for AI development
    Correct Answer: C. Exploring capital expenditure subsidies and operational expense-based incentives
    Explanation: The AI Mission is exploring incentive models such as capital expenditure subsidies and operational expense-based incentives to encourage participation.
  4. What is the objective of the Digital Public Infrastructure (DPI)?
    A. Building physical infrastructure in rural areas
    B. Utilizing GPU assembly for computational capacity
    C. Enhancing public transportation systems
    D. Establishing digital libraries
    Correct Answer: B. Utilizing GPU assembly for computational capacity
    Explanation: The DPI aims to utilize GPU assembly and allow startups to access computational capacity at a reduced cost.

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