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Samsung to Develop AI-Enabled Multi-Device System

Samsung is now planning to expand its AI research centres to other technology and talent-rich areas

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Samsung files new patent application for 3D displays.

With Artificial Intelligence (AI) pushing the frontiers of communication technology, Samsung Electronics is planning to develop a multi-device platform — a variety of AI-enabled devices that communicate seamlessly with each other — to make experiences more personal and relevant.

The South Korean tech giant presented its future vision for AI while announcing this week a new AI centre in Montreal, Canada.

“By leveraging the power of AI in Samsung’s products and services, we must focus on creating new values, never seen nor experienced before,” said Seunghwan Cho, Executive Vice President of Samsung Research.

By providing multiple touchpoints where a user can interact with AI, Samsung said its multi-modal interaction platform (voice, vision, screen, touch) will make experiences more relevant and personal in the future.

“One key element that will move AI to being more widely adopted is multi-device systems — i.e., a variety of AI-enabled devices that communicate seamlessly with each other,” said Larry Heck, Head of AI Centres for Samsung Research America.

“Samsung is uniquely positioned to be a leader in this regard. It’s not just how each device uses AI, it’s how they use it together,” Heck said.

Samsung
The South Korean tech giant presented its future vision for AI while announcing this week a new AI centre in Montreal, Canada.

The newly opened AI centre in Montreal is Samsung’s seventh AI research facility to open this year making it the fourth in North America alone.

The global AI centres, which are also located in South Korea, Russia and Britain, support the company’s efforts in AI that include the development of Samsung’s virtual assistant, Bixby.

Gregory Dudek of the McGill University School of Computer Science and an expert in a wide range of AI technologies — from Machine Learning to human-robot interactions — will lead the Montreal AI Centre.

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“We are excited to open a new Samsung AI Centre in Montreal, which will conduct research in machine learning and robotics enabled multi-modal interactions,” Dudek said.

Samsung is now planning to expand its AI research centres to other technology and talent-rich areas.

Earlier this year, the company announced its plans to expand the number of advanced AI researchers to a total of about 1,000 globally by 2020. (IANS)

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Use of Artificial Intelligence (AI) for Fraud Detection to Triple by 2021

Texas-based ACFE is the world’s largest anti-fraud organization and premier provider of anti-fraud training and education

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"A tectonic shift is happening in AI. Nearly 85 per cent of enterprises globally will use AI in some form or the other by 2020.

As cyber criminals find new ways to exploit technology, a new survey has said that the use of Artificial Intelligence (AI) and Machine Learning (ML) for fraud detection globally would triple by 2021.

While only 13 per cent of organizations use AI and ML to detect and deter fraud, another 25 per cent plan to adopt such technologies in the next year or two — a nearly 200 per cent increase, revealed a global survey by the US-based Association of Certified Fraud Examiners (ACFE) with global analytics leader SAS.

“As criminals find new ways to exploit technology to commit schemes and target victims, anti-fraud professionals must likewise adopt more advanced technologies to stop them,” Bruce Dorris, President and CEO of the ACFE, said in a statement late Monday.

About one in four organizations (26 per cent) use biometrics as part of their anti-fraud programmes and another 16 per cent foresee deploying biometrics by 2021.

“More than half of organizations (55 per cent) plan to increase their anti-fraud tech budgets over the next two years,” the findings showed.

By 2021, nearly three-quarters of organizations (72 per cent) are projected to use automated monitoring, exception reporting and anomaly detection.

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“We’re beginning to see the first instances of artificial intelligence operating as a mediator between humans, but it’s a question of: ‘Do people want that?” Pixabay

Similarly, about half of organizations anticipate employing predictive analytics/modeling (52 per cent and up from 30 per cent as of today) and data visualization (47 per cent from current 35 per cent).

The survey examined data provided by more than 1,000 ACFE members about their employer organizations’ use of technology to fight fraud.

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The survey respondents hailed from 24 industries globally. The size of their employer organizations ranged from less than 100 employees to more than 10,000.

“The dramatic rise of AI, ML and predictive modeling reveals that, beyond the hype, advanced analytics is helping investigators keep steps ahead of increasingly sophisticated fraudsters,” said James Ruotolo, Senior Director of Products and Marketing for Fraud and Security Intelligence at SAS.

Texas-based ACFE is the world’s largest anti-fraud organization and premier provider of anti-fraud training and education. (IANS)