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A look into the mind of a brainwashed Kashmiri suicide bomber

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Peeping into the teenage Kashmiri suicide bomber's mind reveals the harsh realities the youth of Kashmir is facing. Pixabay
Peeping into the teenage Kashmiri suicide bomber's mind reveals the harsh realities the youth of Kashmir is facing. Pixabay
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  • Jaish-e-Mohammad, a teenage suicide bomber who was killed this Sunday threatens attacks across India in a video.
  • The video shows how teenagers are brainwashed while sitting between terrorists and rifles.
  • The video has brought out the various reasons why the Kashmiri youth is turning towards terrorism.

A teenage Jaish-e-Mohammed (JeM) suicide bomber killed on Sunday in Kashmir had threatened terror attacks across India in an undated video which announces the “roaring” resurgence of his outfit headed by the Pakistan-based militant Masood Azhar.

The video, which gives a peek into how Kashmiri teenagers are being brainwashed into believing that they are targeting enemies of Islam, was apparently recorded in a house in the Kashmir Valley.

The Pakistan-based militant outfit on Monday released the eight-minute video online in which Fardeen Khanday, son of a Jammu and Kashmir policeman, urges Kashmiri youth and Muslims across the country to join the “fight against India”.
Kashmiri youth turns towards terrorism as they face severities. Wikipedia Commons
Kashmiri youth turns towards terrorism as they face severities. Wikipedia Commons

Seated between three AK assault rifles, a huge cache of ammunition, grenades and communication devices, Khanday appears calm even as he says that “by the time the video is released I will already be a new guest in heaven”.

Khanday, 16, was killed after he and two other Jaish suicide bombers attacked a paramilitary camp in Pulwama in south Kashmir on Sunday. Five Central Reserve Police Force (CRPF) personnel were killed in the attack. The other two attackers were also killed.

He said it was being made out as if unemployment was driving Kashmiri youths to take to militancy. “But the fact is that it is nothing (but) propaganda.

“The importance of jihad increases when infidels occupy our land and threaten the modesty of our women.

“My friends and I have listened to the call of Quran and plunged into the battlefield of jihad. This will continue till the last occupying soldier is present in Kashmir,” he says in Urdu with a thick Kashmiri accent.

According to police, Khanday, a resident of Tral in south Kashmir, which was the slain Burhan Wani’s hometown, joined militants only three months ago after his family reported him missing on September 15.

In the video, he also talks about the demolition of Babri Masjid as well as attacks on security forces blamed on the Jaish.

“Even after repeated claims by Indian security forces and agencies, Jaish-e-Mohammad has not been wiped out from the Valley. Jaish is not so weak. It is impossible to stop Jaish-e-Mohammad… We are roaring,” Khanday says in the recorded video. IANS

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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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