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Tripura HC postpones law secy’s new posting to November 2

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download (1)Agartala: The Tripura High Court has slightly modified its order over the posting of Law Secretary Datamohan Jamatia, asking him to join as district and sessions judge on November 2 instead of earlier August 3, an official said on Sunday.

“Following state Law Minister Tapan Chakraborty’s second letter to High Court Chief Justice Deepak Gupta, the court slightly modified its transfer order asking Jamatia to join his new posting on November 2 instead of August 3,” a law department official said here on Sunday.

High Court registrar general Manik Chakraborty, in a notification on Saturday, asked Chief Secretary Yashpal Singh to choose a new law secretary by October 31.

The tussle between the high court and the state government kicked off after the court issued a notification on July 14 to transfer Jamatia as district and sessions judge of Unakoti district.

Law Minister Chakraborty, in his letter to the chief justice, expressed the state government’s inability to relieve Jamatia as law secretary as he was looking after cases pending in the Supreme Court and upcoming elections to the local bodies in Tripura.

The minister wrote the letter on July 30 after the high court on July 23 turned down the law minister’s plea and stuck to its earlier decision.

A division bench of the high court in April wanted contempt of court charges to be framed against Jamatia for making derogatory remark about the judiciary in an official note to Chief Minister Manik Sarkar.

Jamatia denied making any such remarks and filed a petition before the Supreme Court against the high court decision.

(IANS)

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Here Are 5 Skills To Keep Yourself Relevant To Tech-Centric Jobs

Here are 5 skills that, if acquired, can keep you relevant in the transforming global job market of tomorrow

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Online training is the perfect medium to bridge the gap and realising what you can do and can make a career in.. Pixabay

Rapid developments in technology require professionals to upgrade their skills for technology-centered jobs of tomorrow

Srikanth Vidapanakal, who has been into data for more than 18 years, was inquisitive to learn about new technologies. He did a Self-Driving Car Engineer Nanodegree that helped him acquire advanced skills and landed him with a job in automation sector. Srikanth is an example of lifelong learning where staying relevant in the age of rapidly changing technologies is the need of the hour.

In 2017, research suggested that AI and robotics could collectively take over 800 million jobs worldwide by 2030. On the flipside, it also mentioned that the technological revolution will end up creating millions of new jobs. In order to stay relevant and keep their jobs in the changing global job landscape, technologists and professionals from diverse fields will be required to upskill themselves Keeping yourself abreast with emerging technologies will constantly keep you ahead of the game.

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The mock killer robot was displayed in London in April 2013 during the launching of the Campaign to Stop Killer Robots, which calls for the ban of lethal robot weapons that would be able to select and attack targets without any human intervention. (VOA)

Here are 5 skills that, if acquired, can keep you relevant in the transforming global job market of tomorrow:

Machine Learning: Machine Learning entered the technological arena as a game-changer that enabled multifaceted software to become more competent at tasks without the need for repeated programming. Machine Learning allows computers to read and interpret large data sets to derive essential insights. This learning can further be applied to complex data models in order to create predictions and compare trends for the future. Machine Learning can also enable algorithms to track data and identify weak links in any process or system, thereby optimizing them to their highest level of productivity and efficiency.

Technology
hrough Deep Learning, software can identify and configure patterns from data.

 

Deep Learning: Deep Learning is a part of Machine Learning which is based on the Neural Network architecture. Neural networks are extremely advanced programming codes that seamlessly mimic the architecture of neurons of the human brain. Through Deep Learning, software can identify and configure patterns from data or images much more proficiently. By identifying patterns in data, Deep Learning can be utilized to create more efficient Natural Language processors that can be used to write more responsive chatbots.

Blockchain: Blockchain technology evolved with the purpose of appending data security and information privacy to cryptocurrency Bitcoin. Today, the robust mechanism has found applications in securing digital payments, smart contracts, cybersecurity, digital IDs copyright protection and data sharing. Given the exceptionally versatile nature of blockchain applications, blockchain technology experts are high in demand in the job market. Jobseekers with blockchain skills bag the 4th highest salaries in India which makes it one of the most sought after job by Indians and professionals around the world.

Technology
Blockchain Holds Promise Of Strengthening Financial Services Sector. pixabay

Robotics and Automation: Both robotics and automation are essentially reducing human labor and proliferating safety of humans by taking over dangerous, physically demanding tasks. Robots can easily lift heavier weights and tolerate high temperature working environments more than human workers possibly can. Robotics has quickly clocked in the highest potential among any other applications of Artificial Intelligence. With Machine Learning at the heart of AI, robots that already outperform humans at the physical level will also be able to undertake a variety of laborious tasks such warehousing and security.

Also Read: Early Self Regulation Skills Help An Individual to Maintain Their Health

Self-Driving Cars: For more than a 100 years, motor vehicles have been an integral part of human existence. Since its inception, the motor vehicle has gone through umpteen updates that have led to the invention of the modern and inherently secure vehicle. However, road accidents have continued to cause loss of property and life. These fatal accidents can be attributed not to technology but to human negligence or error, leading to the need for replacing the human driver. With cutting-edge robotics, Machine Learning, and engineering, humans have been able to create self-driving cars. These driverless vehicles are appearing to be exponentially more efficient at avoiding collisions and accidents. (IANS)