No quota in other states if caste is not listed: SC

Agencies
August 30, 2018

New Delhi, Aug 30: The Supreme Court on Thursday held that a member of a Scheduled Caste and Scheduled Tribe community cannot claim the benefit of reservation in government employment in other states if his or her caste is not notified there.

A five-judge Constitution bench headed by Justice Ranjan Gogoi unanimously held that a person belonging to Scheduled Caste in one state cannot be deemed to be a Scheduled Caste in other states where he migrated for the purpose of employment or education.

The bench, which also comprised Justices N V Ramana, R Banumathi, M Shantanagoudar and Justice S A Nazeer, held "A person notified as Scheduled Caste in state A cannot claim the same status in another state on the basis that he is declared as Scheduled Caste in state A."

Justice Banumathi, however, disagreed with the majority view on the aspect of applicability of central reservation policy on SC/ST in the national capital territory, Delhi.

The bench with a majority of 4:1 held that so far as Delhi is concerned, the central reservation policy regarding SC/ST would be applicable here.

The verdict came on a batch of petitions that had raised the issue whether an SC/ST in one state can seek reservation in another state where his caste is not notified as SC/ST.

The bench was also seized of the question whether SC/ST people of other states can seek quota benefits for government jobs in Delhi.

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Agencies
July 25,2020

In a study conducted in 117 countries, researchers have found that the world is experiencing the most dramatic reduction in the seismic noise (the hum of vibrations in the planet's crust) in recorded history due to global COVID-19 lockdowns.

Measured by instruments called seismometers, seismic noise is caused by vibrations within the Earth, which travel like waves and the waves can be triggered by earthquakes, volcanoes, and bombs - but also by daily human activity like travel and industry.

This quiet period was likely caused by the total global effect of social distancing measures, closure of services and industry, and drops in tourism and travel, the study published in the journal Science, reported.

The new research, led by the Royal Observatory of Belgium and five other institutions around the world including Imperial College London (ICL), showed that the dampening of 'seismic noise' caused by humans was more pronounced in more densely populated areas.

"Our study uniquely highlights just how much human activities impact the solid Earth, and could let us see more clearly than ever what differentiates human and natural noise," said study co-author Stephen Hicks from ICL in the UK.

For the findings, the research team looked at seismic data from a global network of 268 seismic stations in 117 countries and found significant noise reductions compared to before any lockdown at 185 of those stations.

Researchers tracked the 'wave' of quietening between March and May as worldwide lockdown measures took hold.

The largest drops in vibrations were seen in the most densely populated areas, like Singapore and New York City, but drops were also seen in remote areas like Germany's the Black Forest and Rundu in Namibia.

Citizen-owned seismometers, which tend to measure more localised noise, noted large drops around universities and schools around Cornwall, UK and Boston, US - a drop in noise 20 per cent larger than seen during school holidays.

The findings showed that countries like Barbados, where lockdown coincided with the tourist season, saw a 50 per cent decrease in noise.

"The changes have also given us the opportunity to listen in to the Earth's natural vibrations without the distortions of human input," the study authors wrote.

Earlier in April, a study published in the journal Nature, reported at least a 30 per cent reduction in that amount of ambient human noise since lockdown began in Belgium.

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News Network
July 9,2020

U.S. electric vehicle maker Tesla Inc is "very close" to achieving level 5 autonomous driving technology, Chief Executive Elon Musk said on Thursday, referring to the capability to navigate roads without any driver input.

"I'm extremely confident that level 5 or essentially complete autonomy will happen and I think will happen very quickly," Musk said in remarks made via a video message at the opening of Shanghai's annual World Artificial Intelligence Conference (WAIC).

"I remain confident that we will have the basic functionality for level 5 autonomy complete this year."

Automakers and tech companies including Alphabet Inc Waymo and Uber Technologies are investing billions in the autonomous driving industry.

However industry insiders have said it would take time for the technology to get ready and public to trust autonomous vehicles fully.

The California-based automaker currently builds cars with an Autopilot driver-assistance system.

Tesla is also developing new heat-projection or cooling systems to enable more advanced computers in cars, Musk said.

Industry data showed Tesla sold nearly 15,000 China-made Model 3 sedans last month.

Tesla has become the highest-valued automaker as its shares surged to record highs and its market capitalisation overtook that of former front-runner Toyota Motors Corp.

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Agencies
January 10,2020

Indian enterprises were flooded with a whopping 14.6 crore malware threats in 2019 - a growth of 48 per cent (year-on-year) compared to 2018, a new report said on Friday.

Manufacturing, BFSI (banking, financial services and insurance), education, healthcare, IT/ITES, and the government were the most at-risk industries in the country, said the report from Seqrite, the enterprise arm of Pune-based IT security firm Quick Heal Technologies.

Interestingly, almost a quarter (23 per cent) of the threats were identified through 'Signatureless behaviour-based' detection by Seqrite, indicating how a growing number of cybercriminals were deploying new or previously unknown threat vectors to compromise enterprise security.

"With the latest Seqrite annual threat report, we want to empower CIOs, CISOs, business leaders and all key public stakeholders with the insights they need to combat the growing complexity of the threat landscape," said Sanjay Katkar, Joint Managing Director and CTO, Quick Heal Technologies.

The most prominent trend was the drastic increase in the volume, intensity, and sophistication of cyber-attack campaigns targeting Indian enterprises in 2019.

The rapid integration of IoT devices, BYOD (bring your own device), and third-party APIs into enterprise networks has created newer security vulnerabilities that might go unnoticed until a major breach occurs.

Threat researchers at Seqrite observed several large-scale advanced persistent threats (APT) attacks deployed against organisations in the government sector.

"The entry of nation-states and organised cybercrime cells into the fray is expected to add more complication to this situation and will require Indian government bodies and corporate enterprises to shore up their cyber defence strategies in 2020 and beyond," the report noted.

More alarming, however, was the continued lack of security awareness amongst enterprises and government organisations.

"Unsecured Remote Desktop Protocol (RDP) and Server Message Block (SMB) protocols continued to be targeted through brute-force attacks," said the report.

Spear phishing attack campaigns leveraging Office exploits and infected macros were also used extensively by cybercriminals to gain access to enterprise networks and steal critical data.

"India's digital journey depends on ensuring robust cybersecurity for all stakeholders within the enterprise ecosystem," said Katkar.

The sharp spike should be a cause of concern for CIOs and CISOs in the country, especially given the growing digital penetration within their enterprise networks.

"With network vulnerabilities and potential entry points increasing at a rapid pace, threat actors are expected to leverage artificial intelligence (AI) capabilities to power their malware campaigns in the future to capitalise on newer attack vectors," the report added.

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