Sonu Nigam Shares His Navratri Routine In The Company Of Music Legends

by Hemanta Pande

NEWS HIGHLIGHTS

Playback singer Sonu Nigam, who recently graced the quiz based reality show ‘Kaun Banega Crorepati’ along with Shreya Ghoshal, has shared his routine during the festival of Diwali.

Mumbai, Oct 8: Playback singer Sonu Nigam, who recently graced the quiz based reality show ‘Kaun Banega Crorepati’ along with Shreya Ghoshal, has shared his routine during the festival of Diwali.

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A post shared by Sonu Nigam (@sonunigamofficial)

On Tuesday, the singer took to his Instagram and shared two videos detailing his routine. In the videos he can be seen praying, and applying ‘teeka’ to the portraits of music legends like Mohammed Rafi, Lata Mangeshkar, his mother Shobha Nigam.

He also applied teeka to the childhood picture of King of Pop Michael Jackson when he was a part of the Jackson 5. The monochromatic picture shows a young MJ sitting in front of the piano as he flashes his smile for the camera.

Sonu Nigam wrote in the caption, “My typical day during Navratras captured by my daughter @teeshanigam #navratri2024 #MaaApneDwareBulaLeMujhe”.

There’s also a portrait of the late music mogul Gulshan Kumar. Interestingly, Sonu and Gulshan’s son, the head-honcho of T-Series, Bhushan Kumar came at loggerheads during the pandemic in 2020 when Sonu shared a video of himself bashing Bhushan, indirectly calling the latter, a "music mafia" on social media.

However, the two buried the hatchets, and Sonu went on to lend his voice to the reprised version of ‘Accha Sila Diya Tune Mere Pyar Ka’ which was his claim to fame in the early 1990s.

Sonu considers Gulshan Kumar to be the father figure in his life as Gulshan was the one to give him a break in Delhi while he entered into the business of cassettes in the early 1980s and used his voice for the cover version of popular Hindi film songs especially that of Sonu’s idol, Mohammed Rafi. Gulshan converted the small scale business of a cassette and audio records shop to a vast empire of Super Cassettes Industries Private Limited which later became T-Series.

Gulshan was assassinated in the August of 1997 when he was gunned down by assailants including Rauf and Abdul Rashid. The Mumbai police also suspected the involvement of the music composer duo Nadeem-Shravan of having paid for the murder due to a personal dispute as they fled the country shortly after the murder. (IANS)

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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)

Sonu Nigam Shares His Navratri Routine In The Company Of Music Legends

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