Vol no. 19 Issue No. 133

Expert Panel

Rasik Ravindra

Geologist and Secretary General, 36 IGC, New Delhi.

Sachidanand Sinha

Professor, CSRD, Jawaharlal Nehru University, New Delhi.

B Meenakumari

Former Chairperson, National Biodiversity Authority, Chennai.

Prithvish Nag

Former Vice Chancellor, MG Kashi Vidyapeeth, Varanasi

Ajit Tyagi

Air Vice Marshal (Retd) Former DG, India Meteorological Department (IMD), New Delhi

K J Ramesh

Former Director General, India Meteorological Department (IMD), New Delhi.

Saraswati Raju

Former Professor, CSRD, Jawaharlal Nehru University, New Delhi.

B Sengupta

Former Member Secretary, Central Pollution Control Board, New Delhi.

Inside this issue

Artificial Intelligence

The Landscape of AI

By: Mausam

The popular discourse on future of artificial intelligence oscillates between extreme tales of job loss and human-robot wars on the one hand and exceptional impact on all walks of life on the other. In this article we discuss these and related questions regarding the importance of AI in modern life.

AI-Why the Recent Excitement?

By: Balaraman Ravindran

Isolated events such as AI driven programmes beating the world champion at chess have served to deepen the mystique of AI. AI mimics human intelligence and is better at tasks that demonstrably need high levels of acumen. This is not new. Periodically AI has risen to prominence to fade away into semi-oblivion. This article briefly traces the journey of AI, the caveats as well as the implications of the technology for India.

AI for Weather Prediction

By: Sudeshna Sarkar, Saptarshi Misra

Accurate weather forecasting plays an important role in planning human activities. As opposed to conventional physics-based weather models, data-based models make use of past data to apply machine learning for the task. This helps capture the heterogeneous nature of weather and can predict it efficiently.

AI the Future Enabler for Mining

By: Chiranjib Bhattacharyya

From exploring potential areas of high volume mineral reserves to deploying autonomous vehicles for extracting them, AI shows great promise in revolutionising mining in the near future. This feature discusses illustrative applications of technologies developed in the broad area of AI in the industry.

AI for Healthcare in India

By: Raghu Krishnapuram

The current capabilities of Artificial Intelligence (AI), which primarily leverage data collection, storage, computing and communication technologies are moving into the territory of science fiction. The governments of several countries have announced their AI strategies. In response, the NITI Aayog has released a discussion paper in 2018 in which healthcare is highlighted as one of the areas with a potential for high impact.

India’s AI Applications in Healthcare

By: Sulagna Chattopadhyay

AI comes with a promise of overcoming a majority of healthcare barriers that beleaguer India. This feature explores few AI applications that are currently in use in India and outlines challenges that need to be overcome in the coming decade.

Artificial Intelligence Research in India

By: K Narayanan, N Dayasindhu

Research on Artificial Intelligence (AI) in India started in the 1960s. Since then, the scene has changed dramatically as far as AI and machine learning are concerned. The article outlines six recommendations for nurturing AI research ecosystem to develop national level capabilities in India.

In brief

Editor's Note

Dear Readers The artificial intelligence (AI) policy framework in India seems to be shaping up in the recent years. Several Indian ministries are keen to rev up AI technologies to match the global vision with discussion papers and reports that promise equitable access through a transparent and vigi

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Vol no. 19 Issue No. 133

Articles...

ARTIFICIAL INTELLIGENCE

The Landscape of AI

By: Mausam

ARTIFICIAL INTELLIGENCE

AI-Why the Recent Excitement?

Isolated events such as AI driven programmes beating the world champion at chess have served to deepen the mystique of AI. AI mimics human intelligence and is better at tasks that demonstrably need h

By: Balaraman Ravindran

ARTIFICIAL INTELLIGENCE

AI for Weather Prediction

By: Sudeshna Sarkar, Saptarshi Misra

ARTIFICIAL INTELLIGENCE

AI the Future Enabler for Mining

By: Chiranjib Bhattacharyya

ARTIFICIAL INTELLIGENCE

AI for Healthcare in India

The current capabilities of Artificial Intelligence (AI), which primarily leverage data collection, storage, computing and communication technologies are moving into the territory of science fiction.

By: Raghu Krishnapuram

Term Power

What is ...

It is a learning model with robust algorithm and very high programming language which acts like human brain and is used to solve complicated problems.

Computers use algorithms to list out detailed instructions to carry out an operation. For example, to compute an employee’s paycheck, the computer uses an algorithm. To accomplish this task, appropriate data must be entered into the system.

Big data is a field that treats ways to analyse, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data processing application software.

This AI models mimics human thinking. There is an assimilation of strong algorithm and other AI models likely ‘natural language processing’, ‘data mining’ and ‘pattern recognition’ to generate self-learning process.

A chess playing computer produced by IBM, known to win both a chess game and world championship under time regulations in February, 10, 1996. It also can play without human player.

It is a sub parts of Deep Web, mostly used for criminal or unfair activities. Although not attainable by internet browsers but hacking sites or suspicious informative pages or ‘pop-up’ pages are examples of dark web.

It is built based on genetic principles and natural selection and used to solve any riddles or other difficult problems related to genetic science, which eventually took decades to solve.

Is a question-answering computer system in natural language developed by IBM's DeepQA project and named after IBM's first CEO Thomas J Watson.

A paradigm facet in AI that focuses on algorithms which helps machine to learn without being programmed and change when exposed to new data.

Ability of a computer to process and analyse natural language information. In brief it is meant to identify individual human language, speech and enable better communication between machines and humans.

Is an algorithm for a computer that uses binary coding of supervised learning, in order to stimulate a machine to take its own decision.

Sophia is a humanoid robot developed by 'Hanson robotics', in 2016. It has robust algorithm which can identify different human voices, detect visible features and produce more than fifty facial expressions. It is also a question answering robot.

SI is a collective behaviour of decentralised and self-organised systems to produce desired outputs, which was primarily developed in the context of ‘cellular robotics’. It is also known an Intelligent Agent and boids—an AI life programme, simulated by flocking behaviour of birds. Popular examples of SI are ‘ant colonies’, ‘bird flocking’, ‘hawk hunting’ etc.

A set of instructions given to a computer to make its own decision regarding the input. For instance: Input 1: all dogs are animal; Input 2: Stoic is a dog; Query: Is Stoic a dog?; Answer: Yes.

It is an electronic unit in a computer or any smart gadgets which can manipulate data and alter ‘memory’ (primary storage space) to accelerate image creation process. Simply GPU is the video display controller in a computer.

Letters

May 1-15, 2019 Issue 21 No. 132

As a recent subscriber to G’nY, I found the article on hydrocarbon exploration and licensing policy in the issue Public Policies Revisited (Vol.19, Issue 21, No.132, 2019) refreshingly precise. The other articles in the issue gives an overall review of happenings around us. The content is rich in terms of facts and figures and is well substantiated with graphs, data and diagrams. I am looking forward to further editions of the journo-mag.

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Vol no. 19 Issue No. 133

Expert Panel

Inside this issue

Artificial Intelligence

In brief

Vol no. 19 Issue No. 133

Articles...

Term Power

What is ...

Artificial Neural Network

Algorithm

Big Data

Cognitive Computing

Deep Blue

Dark web

Genetic Algorithm

Watson

Machine Learning

Natural Language Processing

Perceptrons

Sophia

Swarm Behaviour/Intelligence (SI)

Theories of logic

Graphic Processing Unit

Letters

May 1-15, 2019 Issue 21 No. 132

PRIYANKA TAMER via customer feedbacks

AS A SUBSCRIBER of G’nY

BINU SHARMA via customer feedback.

THE APRIL ISSUE titled ‘Ageing India’

ABHINAV KUMAR YADAV via customer feedback.

Competitive Examinations

PANKAJ KUMAR via customer feedback.

THE G’nY JOURNO-MAG

BIRJU via customer feedback.

G’nY COMPREHENSIVELY COVERS

NIRUPAM SHARMA via customer feedback.

THE ARTICLES IN G’nY

SUBHAM KUMAR via customer feedback.

Physical and Human Geography

GAUTAM KUMAR via customer feedback.