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.
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.
The Indian coastline spreads over 7,500 km and is endowed with a wide variety of ecosystems, rich habitats and biodiversity. The coastal environment plays a vital role in the nation’s economy by virtue of its resources. These areas, however, are also facing complex issues due to increasing human population, urbanisation and accelerated developmental activities. Of the several threats faced by India’s coast, concern related to coastal erosion reigns high. The coast comprises multifaceted processes...
In the last 25 years, the National Institute of Ocean Technology (NIOT) has progressed from developing technology for shallow waters to deep waters. Coastal communities too have been provided access to desalinised potable water and have benefited from the tsunami warning system.
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.
Natural resources are depleting rapidly impacting development. The availability of time series Earth observation data assists the investigation of spatial patterns of different natural resources and the changes therein.
Global changes due to the influence of extraterrestrial phenomena can be studied by using various satellite based information. An attempt is made in this article to understand the influence of such changes as a cumulative factor to predict some of the natural disasters which would make disaster management more effective.
The ozone loss process in the stratosphere is relatively well understood and much of the loss is driven by the chemical cycles involving chlorine and bromine compounds, whose abundance peaked around 2000 in the polar stratosphere. With the abatement of atmospheric loading of ozone depleting substances (ODSs) due to the implementation of Montreal Protocol, the extent of ozone loss is expected to have decreased since 2000. Early signs of the rebound of Antarctic ozone have already been reported. However,...
Remote sensing and GIS can be used to generate data that can help achieve sustainable management of natural resources. Maps created through a GIS interface provide a fillip to analysis and bring us a step closer to visualising the complex patterns and relationships that characterise real-world planning and policy problems.
Indian Standard Time is the primary reference on which the country runs. However, keeping time is not the simplest of jobs. CSIR-NPL ensures that this time becomes accessible to all and everything runs proverbially, like clockwork.