Skip to content
Search

Latest Stories

Submit Guest Post

Indian court declines interim relief to Vedanta owned Sterlite

AN INDIAN court yesterday (1) declined to provide any interim comfort to Vedanta owned Sterlite to conduct maintenance work at its closed copper smelter unit in Tuticorin of the southern Indian state, Tamil Nadu.

The Madras high court posted the matter to March 27 for further hearing. The bench has also asked the Tamil Nadu Pollution Control Board (TNPCB) to file its reply by then inconnection with the case.


Sterlite in its plea filed according to the recent suggestion of the country’s top court, has questioned the May 23, 2018 orders of TNPCB refusing the renewal consent to the plant as well as permanent closure, terming them as wholly illegal, unconstitutional and ultra vires.

Earlier,Tamil Nadu state government ordered the permanent shutdown of the plant in the wake of violent protests against Sterlite that led to death of 13 people in police firing last year.

The local residents were protesting against environment pollution being allegedly caused by the copper smelter.

India’s apex court on February 18 had set aside the order of the country’s environment court permitting the opening of the plant but gave a choice to the firm to approach the high court against the closure order.

Add EasternEye As Your Trusted Source
preferred source on google news

More For You

Google

Google’s Gemini 4 Argon is designed to handle longer and more complex AI workflows

Getty Images

Google is giving its newest AI model a million-token memory. Here’s what it can do

  • Gemini 4 Argon can generate up to one million tokens in a single output.
  • Google says the model is already being used internally for coding, research and large-scale engineering work.
  • The AI is initially being tested by trusted cyber defenders before wider access.

Google has unveiled Gemini 4 Argon, a new frontier AI model that can generate up to one million tokens in a single output, a sharp increase from the previous 64,000-token limit.

In simple terms, the bigger limit is designed to let the Google AI model work through much longer and more complicated tasks without having to break them into as many separate steps. Google says this could be useful for software development, financial and legal research, enterprise work and other jobs that require sustained reasoning.

Keep ReadingShow less