Works Minister Prithviraj Harichandan Counters BJD Remarks Over Government Buildings' Colour Change

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Works Minister Prithviraj Harichandan Counters BJD Remarks Over Government Bu...

by Shambhu Datta Mishra

NEWS HIGHLIGHTS

Reacting to the BJD's question over the change of paint, Harichandan said Tuesday that one should look at own works before questioning or pointing a finger at someone

The Works Minister said it is quite painful for them -- BJD -- to see the Government buildings without green paint

According to the officials, the exterior walls will be painted orange with red borders

Bhubaneswar, Oct 8: Odisha Works Minister Prithviraj Harichandan has replayed strongly to the opposition Biju Janata Dal (BJD) over the change of colour of the Government buildings in the state.

Reacting to the BJD's question over the change of paint, Harichandan said Tuesday that one should look at own works before questioning or pointing a finger at someone.

"Before questioning, LoP Naveen Patnaik and his team should answer that why they had changed the colour of the Government buildings," countered Harichandan, who also holds the Department of law and excise.

"It was BJD who first changed the paint of Government buildings to green. I don't think there was any necessity to change the colour. They should have continued with the previous colour," added Prithviraj Harichandan.

The Works Minister said it is quite painful for them -- BJD -- to see the Government buildings without green paint. "So can they answer why they had changed the colour, before asking others about such move?"

Harichandan explained that every year after the rainy season, Government buildings require repair and maintenance. "And repainting is a part of the maintainance work," the Work Minister asserted.

"Therefore, it has been decided to use the same colour the Government buildings had been painted before BJD made the change," Prithviraj Harichandan concluded.

Earlier, the BJP government in Odisha has decided to change the colour of government buildings and offices across the state to shades of orange and red, officials said Monday.

According to the officials, the exterior walls will be painted orange with red borders.

Works Department Special Secretary Lakshmi Kanta Padhi has reportedly written a letter Monday to the engineer-in-chief of different wings, MD of the Odisha Bridge & Construction Corporation Ltd (OB&CC) and all chief engineers under the department in this regard.

Notably, the government buildings in Odisha, currently, do not sport a uniform colour.

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Nagarjuna Arrives At Nampally Special Court In Hyderabad

by Shambhu Datta Mishra

Hyderabad, Oct 8: Actor Nagarjuna Akkineni along with his family arrived at Nampally special court in Hyderabad. He has filed a 100 crores defamation case against Telangana Minister Konda Surekha over her controversial comments targeting his family.

Nagarjuna Akkineni has filed a defamation case against Telangana Congress minister Konda Surekha following her remarks regarding the divorce between his son Naga Chaitanya and actress Samantha Ruth Prabhu. The complaint has been filed under section 356 Bhartiya Nayay Sanhita in the district court of Hyderabad.

On October 3, in a post on X, Naga Chaitanya shared a copy of the complaint with no caption.

The Complainant Nagarjuna submits that using the public platform available to her as a public figure, the accused, while speaking to the media on 02.10.2024, while attending Gandhi Jayanti Program made defamatory statements concerning the complainant and his family.

The complaint stated that the complainant's family, much like the complainant himself, enjoys immense reputation and respect in the eyes of the public. The complainant's son, Naga Chaitanya, is a successful and acclaimed actor in the Telugu film industry, continuing the family's proud legacy in cinema.

The Akkineni family is widely regarded for its contributions to Indian cinema, with generations of actors commanding admiration and respect. Additionally, Naga Chaitanya's former spouse, Samantha, is a celebrated actress with a significant following and an impeccable reputation in her own right.

Although their marriage, solemnized in the year 2017 and widely covered by the media, ended in a divorce due to personal differences in the year 2021, both individuals continue to be respected for their professional accomplishments and maintain a dignified public image.

The family's stature in the public eye remains undiminished, further enhancing the complainant's standing as a revered figure in Indian cinema. As such, it is submitted that the complainant and his family enjoy immense respect and admiration from his peers, fans, and the public at large. His impeccable reputation has been meticulously built over decades of dedication, passion, and excellence in the entertainment industry.

The complainant's personal integrity and professional achievements have contributed to his standing as a revered public figure. Any attempt to tarnish this reputation through false or malicious allegations not only harms his professional legacy but also deeply affects his personal life and the high regard in which his family is held. Therefore, protecting his honour and preserving his reputation is of paramount importance.

The complaint filed by Nagarjuna Akkineni includes charges of criminal defamation, which could lead to serious legal repercussions. It also contains a civil defamation suit seeking financial compensation for the harm inflicted by Konda Surekha's remarks about Naga Chaitanya and Samantha Ruth Prabhu's divorce. The complaint emphasizes the impact of the statements on the family's reputation and seeks to hold Surekha accountable.

(ANI)

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Nobel Prize In Physics Awarded To John Hopfield, Geoffrey Hinton For Work On AI

by Hemanta Pande

Stockholm, Oct 8: The 2024 Nobel Prize in Physics has been awarded to John Hopfield and Geoffrey Hinton for foundational discoveries and inventions that enable machine learning with artificial neural networks, the Royal Swedish Academy of Sciences announced on Tuesday.

The two Nobel Laureates in Physics have used tools from physics to develop methods that are the foundation of today's powerful machine learning. The duo used physics to find patterns in information.

In an accompanying explanations of the research, the Nobel Prize body said that many people have experienced how computers can translate between languages, interpret images and even conduct reasonable conversations.

However, it said that what is perhaps less well known is that this type of technology has long been important for research, including the sorting and analysis of vast amounts of data. The development of machine learning has exploded over the past 15 to 20 years and utilises a structure called an artificial neural network.

Machines can now mimic functions such as memory and learning and this year's laureates in physics have helped make this possible. Using fundamental concepts and methods from physics, they have developed technologies that use structures in networks to process information.

While in machine learning the computer learns by example, enabling it to tackle problems that are too vague and complicated to be managed by step by step instructions. One example is interpreting a picture to identify the objects in it.

Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data.

The Hopfield network can store patterns and has a method for recreating them. When the network is given an incomplete or slightly distorted pattern, the method can find the stored pattern that is most similar.

Meanwhile, Geoffrey Hinton invented a method that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures.

The technology of machine learning using artificial neural networks was originally inspired by the structure of the brain. In an artificial neural network, the brain's neurons are represented by nodes that have different values.

These nodes influence each other through connections that can be likened to synapses and which can be made stronger or weaker. The network is trained, for example by developing stronger connections between nodes with simultaneously high values.

This year's laureates have conducted important work with artificial neural networks from the 1980s onward, Nobel Prize Committee said in a statement.

The reseach done by Hopfield in 1933 in Chicago is carried out at Princeton University while Hinton born in 1947 in London works at the University of Toronto.

"The laureates' work has already been of the greatest benefit. In physics we use artificial neural networks in a vast range of areas, such as developing new materials with specific properties," said Ellen Moons, Chair of the Nobel Committee for Physics. (ANI)

Works Minister Prithviraj Harichandan Counters BJD Remarks Over Government Buildings' Colour Change

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