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Atomic Theory first conceptualised by Indian sage Acharya Kanad about 2,600 years ago

Acharya Kanad is believed to proactively note down his theories and concepts and also used to make his work available for the common population

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Representational Image. Image source: Wikimedia Commons
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August 31, 2016:  A man born in Prabhas Kshetra in the year 600 BC, went around the streets of Pragya, a pilgrimage destination by collecting grains and flowers, offered to the temple, littered by the devotees.

A surprised and intrigued crowd inquired the reason behind Kashyap’s actions; to which the man replied- An individual grain may seem worthless, but a collection of grains make up a person’s meal, and a collection of many meals can feed an entire family, and what is mankind but a collection of many families .Thus even a single grain is as valuable as all the riches in the world.

This man thus earned the title of Kanad , which means ’kan’ in Sanskrit and when translated in English means- “The smallest particle”. Acharya Kanad’s real name was Kashyap.

Kanad was always known to be extremely observant of his surroundings, and often developed and understood the most complex of ideas through the simplest of means. He developed his own theory ‘Anu’ , the atom when he noticed that he wasn’t able to physically disintegrate a piece of food item beyond a limit. He conceptualised the Idea that objects can be disintegrated into smaller particles up to a point where further splitting was impossible. He named this indivisible particle as Anu or parmanu, both of which means the atom.

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He also proposed the idea of the combination of atoms to form a bigger substance, which exhibited properties of the parent atoms, which became visible to the human eye after the combination had enough atoms involved, which resulted in increased size. He named the resultant substance as Dwinuka (Binary molecule). Evidence in History claimed that kanad said, ”Every object of creation is made of atoms which in turn connect with each other to form molecules.”

Kanad is believed to proactively note down his theories and concepts and also used to make his work available for the common population and therefore this genius earned the title of ‘Acharya,’  the Sanskrit translation of ‘Teacher’.

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Acharya Kanad was the founder of Vaisheshika School of Philosophy where he used to teach adn share his ideas about the atom as well as the nature of the universe. Acharya wrote a book too on his research– Vaisheshik Darshan, and hence he came to be known as ‘The Father of Atomic Theory’.

However, there are claims of ambiguity in regards to the origin of the Idea of the Atom. The origin is credited to the early Greeks by some, while others attributed the origin of the concept to the Indians.

– by Usman Zafar of NewsGram. Twitter: @HalkiSiChuban

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Google AI can focus on individual speakers in a crowd

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks

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Google india launches 'Tz' to help people pay their utility bills. Wikimedia Commons
Google AI to identify speakers from crowd. Wikimedia Commons

Just as most smartphone cameras now allow users to focus on a single object among many, it may soon be possible to pick out individual voices in a crowd by suppressing all other sounds, thanks to a new Artificial Intelligence (AI) system developed by Google researchers.

This is an important development as computers as not as good as humans at focusing their attention on a particular person in a noisy environment. Known as the cocktail party effect, the capability to mentally “mute” all other voices and sounds comes natural to us humans.

Google has collaborated with getty images. Wikimedia Commons
Google AI will identify individual speakers now. Wikimedia Commons

However, automatic speech separation — separating an audio signal into its individual speech sources — remains a significant challenge for computers, Inbar Mosseri and Oran Lang, software engineers at Google Research, wrote in a blog post this week. In a new paper, the researchers presented a deep learning audio-visual model for isolating a single speech signal from a mixture of sounds such as other voices and background noise.

“In this work, we are able to computationally produce videos in which speech of specific people is enhanced while all other sounds are suppressed,” Mosseri and Lang said. The method works on ordinary videos with a single audio track, and all that is required from the user is to select the face of the person in the video they want to hear, or to have such a person be selected algorithmically based on context.

Also Read: Want To Know What Facebook, Google Know About You?

The researchers believe this capability can have a wide range of applications, from speech enhancement and recognition in videos, through video conferencing, to improved hearing aids, especially in situations where there are multiple people speaking. “A unique aspect of our technique is in combining both the auditory and visual signals of an input video to separate the speech,” the researchers said.

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This will also help in speech enhancement . VOA

“Intuitively, movements of a person’s mouth, for example, should correlate with the sounds produced as that person is speaking, which in turn can help identify which parts of the audio correspond to that person,” they explained.

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks with the visible speakers in the video, the researchers said. IANS

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