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Intel Collaborates With CBSE to Empower Nearly One Lakh Students With Artificial Intelligence

Intel along with CBSE will soon be launching a 'National AI Olympiad' to motivate young students to showcase their meaningful social impact solutions as evidence of achievement

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Intel
According to the company, it has been estimated that by 2030, AI, in all its applications, is predicted to contribute US$15.7 trillion to the global economy. Wikimedia Commons

Tech giant Intel and Central Board of Secondary Education (CBSE) on Friday signed a memorandum of understanding (MoU) to digitally empower nealry one lakh students with Artificial Intelligence (AI) integration in India’s education system.

Initiatives include the roll-out of an Artificial Intelligence (AI) curriculum framework for grades VIII, IX and X for 22,000 schools, with the aim to empower one lakh students within 2020, the company said in a statement.

The curriculum is based on ‘Intel AI For Youth’, which is an immersive, hands-on learning programme using experiential methodologies covering both social and technological skills.

“AI has become a strategic imperative for worldwide economic growth and will continue to be one of the most crucial technologies of the future,” said Shweta Khurana, Director-Programmes, Partnerships and Policy Group at Intel India.

“Our collaboration with CBSE is a meaningful step towards enabling our youth to become digitally-empowered and effectively utilize emerging technologies such as AI to solve pressing local and global challenges,” Khurana added.

The MoU also stated that Intel along with CBSE will soon be launching a ‘National AI Olympiad’ to motivate young students to showcase their meaningful social impact solutions as evidence of achievement.

According to the company, it has been estimated that by 2030, AI, in all its applications, is predicted to contribute US$15.7 trillion to the global economy.

India’s own AI strategy identified artificial intelligence as an opportunity and solution provider for inclusive economic growth and social development.

The comprehensive programme called ‘Intel AI For Youth,’ aimed at empowering the young generation to become AI-ready.

AI
Tech giant Intel and Central Board of Secondary Education (CBSE) on Friday signed a memorandum of understanding (MoU) to digitally empower nealry one lakh students with Artificial Intelligence (AI) integration in India’s education system. Pixabay

Together with CBSE, Chip-making giant has curated an outcome-oriented AI curriculum for students of grade VIII and above.

The curriculum was piloted with eight schools, training youth to create AI projects focused on social impact in 2019, with the aim to empower 1,00,000 students with AI-readiness skills in 2020.

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“Our collaboration with Intel has helped us empower the youth with AI skills in an inclusive way and we hope to take this journey ahead in a big way in the coming years,” said Biswajit Saha, Director, Skill Education and Training, CBSE. (IANS)

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Know About Where Do Employees Actually Gaze At During Video Calls

For the study, published in the journal Attention, Perception & Psychophysics, the team compared fixation behaviour in 173 participants under two conditions

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Video Chat
The phenomenon known as "gaze cueing," a powerful signal for orienting attention, is a mechanism that likely plays a role in the developmentally and socially important wonder of "shared" or "joint" attention where a number of people attend to the same object or location. Pixabay

 As more and more people use video conferencing tools to stay connected in social distancing times, neuroscientists from Florida Atlantic University have found that a person’s gaze is altered during tele-communication if they think that the person on the other end of the conversation can see them.

The phenomenon known as “gaze cueing,” a powerful signal for orienting attention, is a mechanism that likely plays a role in the developmentally and socially important wonder of “shared” or “joint” attention where a number of people attend to the same object or location.

“Because gaze direction conveys so much socially relevant information, one’s own gaze behaviour is likely to be affected by whether one’s eyes are visible to a speaker,” said Elan Barenholtz, associate professor of psychology. For example, people may intend to signal that they are paying more attention to a speaker by fixating their face or eyes during a conversation.

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“Conversely, extended eye contact also can be perceived as aggressive and therefore noticing one’s eyes could lead to reduced direct fixation of another’s face or eyes. Indeed, people engage in avoidant eye movements by periodically breaking and reforming eye contact during conversations,” explained Barenholtz.

People are very sensitive to the gaze direction of others and even two-day-old infants prefer faces where the eyes are looking directly back at them. Social distancing across the globe due to coronavirus (COVID-19) has created the need to conduct business “virtually” using Skype, web conferencing, FaceTime and any other means available.

For the study, published in the journal Attention, Perception & Psychophysics, the team compared fixation behaviour in 173 participants under two conditions: one in which the participants believed they were engaging in a real-time interaction and one in which they knew they were watching a pre-recorded

The researchers wanted to know if face fixation would increase in the real-time condition based on the social expectation of facing one’s speaker in order to get attention or if it would lead to greater face avoidance, based on social norms as well as the cognitive demands of encoding the conversation.

Online, Webinar, Teacher, Conferencing, Tutor, Video
As more and more people use video conferencing tools to stay connected in social distancing times, neuroscientists from Florida Atlantic University have found that a person’s gaze is altered during tele-communication if they think that the person on the other end of the conversation can see them. Pixabay

Results showed that participants fixated on the whole face in the real-time condition and significantly less in the pre-recorded condition. In the pre-recorded condition, time spent fixating on the mouth was significantly greater compared to the real-time condition. There were no significant differences in time spent fixating on the eyes between the real-time and the pre-recorded conditions. To simulate a live interaction, the researchers convinced participants that they were engaging in a real-time, two-way video interaction (it was actually pre-recorded).

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When the face was fixated, attention was directed toward the mouth for the greater percentage of time in the pre-recorded condition versus the real-time condition. “Given that encoding and memory have been found to be optimized by fixating the mouth, which was reduced overall in the real-time condition, this suggests that people do not fully optimize for speech encoding in a live interaction,” the authors wrote. (IANS)