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A robot that can play video games with humans

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A robot that can play video games with humans


A robot that can play vidoegames with humans
Robot that plays video games with humans to increase opportunities for daily interaction. Credit: Kanda et al.

In recent years, engineers have developed a wide range of robotic systems that could soon assist humans with various everyday tasks. Rather than assisting with chores or other manual jobs, some of these robots could merely act as companions, helping older adults or individuals with different disabilities to practice skills that typically entail interacting with another human.

Researchers at Nara Institute of Science and Technology in Japan recently developed a new robot that can play video games with a human user. This robot, introduced in a paper presented at the 11th International Conference on Human-Agent Interaction, can play games with users while communicating with them.

“We have been developing robots that can chat while watching TV together, and interaction technology that creates empathy, in order to realize a partner robot that can live together with people in their daily life,” Masayuki Kanbara, one of the researchers who carried out the study, told Tech Xplore. “In this paper, we developed a robot that plays TV games together to provide opportunities for people to interact with the robot in their daily lives.”

The new robotic system created by Kanbara and his colleagues is based on a dialogue system that supports smooth conversations with human users. This system processes what users say while playing games with the robot and produces suitable responses.

The researchers also developed a system that adapts the content of the game that a human user and robot and playing, for instance by changing the game characters and what they are doing. As the game progresses, the robot can say things that are aligned with what is happening at the time, while retaining a friendly tone.

“The proposed robot dialogues with a human while playing a competitive TV game together to realize a continuous interaction between the human and the robot in daily life,” Kanbara explained. “The robot is happy when it wins and frustrated when it loses.”

To assess the potential of their proposed robotic system, Kanbara and his colleagues tested it in an experiment involving 30 human participants. These participants were asked to play the same videogame alone and in conjunction with the team’s robot, then share their feedback in a simple questionnaire.

In this questionnaire, most participants said that they found playing with the robot more enjoyable than playing alone. This highlights the promise of the team’s companion robot for entertaining users and improving their gaming experience.

“In recent years, some have been exploring the potential of TV games as tools to help the elderly to practice their mental skills and remain sharp,” Kanbara said. “Therefore, our robot can be used as one of the functions to continue to use partner robots that watch over and support the lives of the elderly.”

The robot developed by this team of researchers could soon be improved further and tested in additional experimental trials, to further explore its potential. In addition, this recent study could inspire the development of other interactive, instructive and robot-assisted gaming experiences targeted toward specific segments of the population, such as older adults or children diagnosed with autism spectrum disorder (ASD).

“The evaluation in this paper showed the effectiveness of the proposed robot during a short game time of about 15 minutes,” Kanbara added. “In the future, we aim to design a robot behavior that continues to motivate interaction over a long period of time, in terms of months or years.”

More information:
Shogo Kanda et al, Robot to Play Video Games Together, International Conference on Human-Agent Interaction (2023). DOI: 10.1145/3623809.3623832.

© 2024 Science X Network

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A robot that can play video games with humans (2024, January 9)
retrieved 25 June 2024
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US billionaire eyes TikTok takeover to save internet from Big Tech

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US billionaire eyes TikTok takeover to save internet from Big Tech


US real estate billionaire Frank McCourt speaks during an interview at the Collision 2024 tech conference
US real estate billionaire Frank McCourt speaks during an interview at the Collision 2024 tech conference.

Frank McCourt, a US real estate billionaire, aims to buy TikTok to rescue the internet from the clutches of major platforms that he firmly believes are destroying society and endangering children.

In the United States, McCourt is best known as the former owner of the Los Angeles Dodgers baseball team, while in Europe he is the current proprietor of storied football club Olympique de Marseille that counts French President Emmanuel Macron among its fans.

For years, McCourt has railed against the power of the big tech platforms, accusing them of harming children and helping send the world off the rails.

“We are being manipulated by these big platforms. And that’s why we see in free societies everywhere, there’s sort of the world on fire, right?” McCourt told AFP at the Collision tech conference in Toronto.

He cited political upheaval in France, where the far-right could secure a decisive victory in the upcoming parliamentary elections, as the latest example.

“There’s a lot of agitation, a lot of chaos, a lot of polarization. Well, you know what, the algorithms are working well. They’re keeping us in that constant state. It’s time for change.”

McCourt said he was initially motivated to act by the threat posed by social media to his own seven children.

“This internet is predatory. It’s doing a lot of damage to kids. We see the anxiety, the depression, and an epidemic now of children taking their lives,” he said.

To address the problem, McCourt is campaigning for a “new internet” which, he claims, would wrest control of the web away from major platforms like Instagram, YouTube, TikTok, or X.

“These platforms have hundreds of thousands of individual attributes about each of us. And it’s not just where we shop or what we like to eat or where we physically are present. It’s about how we think, how we emote, how we react, how we behave,” he said.

McCourt envisions a new internet that he describes as an open-source, decentralized protocol where users control their own data, regardless of the social media app they use.

Acquiring TikTok would give his project known as Project Liberty a whole new scale, bringing in its legions of users, mostly younger people, he said.

Project Liberty counts internet pioneer Tim Berners-Lee as a supporter, along with Jonathan Haidt, an NYU professor whose latest book, “The Anxious Generation,” argues that the effects of social media on young people have been devastating.

‘Undemocratic’

McCourt is not alone in eyeing the Chinese-owned platform, with Trump’s former secretary of the treasury, Steve Mnuchin, also advancing a bid.

These plans, which some say are far-fetched, follow a bill signed by US President Joe Biden in April that gives TikTok 270 days to find a non-Chinese buyer or face a ban in the country.

However, it is hardly a sure thing that TikTok will end up being for sale.

The company is fighting the law in US courts, and the Chinese government has said it would not accept the divestment of one of the country’s most successful tech brands.

“The US government’s concern is that the data of 170 million Americans is being scraped and sent to China,” which “of course” poses a national security threat, McCourt said.

However, he added, “I hope that this TikTok issue will make that light bulb go off for people, and they’ll realize (that even on other platforms) their data is being scraped and shipped somewhere.”

“Maybe it’s not going to China, but it’s going somewhere controlled by someone who has everything about you, and that’s not correct. That’s undemocratic,” he said.

© 2024 AFP

Citation:
US billionaire eyes TikTok takeover to save internet from Big Tech (2024, June 19)
retrieved 25 June 2024
from https://techxplore.com/news/2024-06-billionaire-eyes-tiktok-takeover-internet.html

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Researchers develop novel method for compactly implementing image-recognizing AI

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Researchers develop novel method for compactly implementing image-recognizing AI


Novel method for compactly implementing image-recognizing AI
Researchers proposes a novel heuristic compression method for convolutional neural network model applying three conventional reduction techniques in the sequence of the integer quantization, the network sliming, and the deep compression. The method autonomously finds a minimal size of a network model by iterating the margin calculations. Credit: IEEE Access (2024). DOI: 10.1109/ACCESS.2024.3399541

Artificial intelligence (AI) technology used in image recognition possesses a structure mimicking human vision and brain neurons. There are three known methods to reduce the amount of data required for calculating and computing the visual and neuronal components. Until now, the application ratio of these methods was determined through trial and error.

Researchers at the University of Tsukuba have developed a new algorithm that automatically identifies the optimal proportion of each method. This algorithm is expected to decrease power consumption in AI technologies and contribute to the miniaturization of semiconductors.

Convolutional neural networks (CNNs) are pivotal in applications such as facial recognition at airport immigration and object detection in autonomous vehicles.

CNNs are composed of convolutional and fully connected layers; the former simulates human vision, while the latter enables the brain to deduce the type of image from visual data.

By reducing the number of data bits used in computations, CNNs can maintain recognition accuracy while substantially reducing computational demands. This efficiency allows the supporting hardware to be more compact.

Three reduction methods have been identified so far: network slimming (NS) to minimize the visual components, deep compression (DC) to reduce the neuronal components, and integer quantization (IQ) to decrease the number of bits used. Previously, there was no definitive guideline on the order of implementation or allocation of these methods.

The new study, published in IEEE Access, establishes that the optimal sequence of these methods for minimizing the data amount is IQ, followed by NS and DC. In addition, the researchers have created an algorithm that determines the application ratio of each method autonomously, removing the necessity for trial and error.

This algorithm enables a CNN to be compressed to 28 times smaller and 76 times faster than previous models.

The implications of this research are poised to transform AI image recognition technology by dramatically reducing computational complexity, power consumption, and the size of AI semiconductor devices. This breakthrough will likely enhance the widespread feasibility of deploying advanced AI systems.

More information:
Danhe Tian et al, Heuristic Compression Method for CNN Model Applying Quantization to a Combination of Structured and Unstructured Pruning Techniques, IEEE Access (2024). DOI: 10.1109/ACCESS.2024.3399541

Citation:
Researchers develop novel method for compactly implementing image-recognizing AI (2024, June 6)
retrieved 25 June 2024
from https://techxplore.com/news/2024-06-method-compactly-image-ai.html

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New tech addresses augmented reality’s privacy problem

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New tech addresses augmented reality's privacy problem


New tech addresses augmented reality's privacy problem
(From left) Bo Ji, Brendan David-John, and graduate student Matthew Corbett devised a new method to protect bystander privacy in augmented reality. Credit: Kelly Izlar/Virginia Tech

An emergency room doctor using augmented reality could save precious seconds by quickly checking a patient’s vitals or records. But the doctor could also unintentionally pull information for someone else in the room, breaching privacy and health care laws.

A Commonwealth Cyber Initiative team created a technique called BystandAR to protect bystander privacy while still providing an immersive augmented-reality experience. The researchers presented the technology at ACM MobiSys 2023 last summer and explained it in a December IEEE Security & Privacy article.

“Protecting bystander privacy is an important problem,” said Bo Ji, associate professor of computer science. “Our work raises awareness and encourages the adoption of augmented reality in the future.”

Early results, which were presented last summer, correctly identified and protected more than 98% of bystanders within the data stream while allowing access to more than 96% of the subject data. In addition, BystandAR does not require offloading unprotected bystander data to another device for analysis, which presented a further risk for privacy leakage.

With support from Virginia Tech Intellectual Properties and the LINK + LICENSE + LAUNCH Proof of Concept Program, the team filed a provisional patent on BystandAR, which distorts bystanders’ images in augmented-reality devices.

Concerns about privacy violations contributed to the failure of Google Glass almost a decade ago. Like similar devices, the eyewear projects interactive computer-generated content, such as video, graphics, or GPS data, onto a user’s view of the world. But Google Glass’ cameras and microphones allowed users to record their surroundings without the consent of those around them.

“It made people uncomfortable, and for good reason,” Ji said. “Maybe you’re in a restaurant with your kids. You have no control over who is collecting their data or what happens to it.”

BystandAR builds on a key insight from psychological studies: An individual usually looks most directly and longest at the person they are interacting with. Therefore, eye gaze is a highly effective indicator for differentiating between bystander and subject in a social context. Ji’s technique leverages eye-gaze tracking, near-field microphone, and spatial awareness to detect and obscure bystanders captured within sensor data in real time.

In a related work, for which he recently received a $1.2 million National Science Foundation award, Ji is developing a method to improve the efficiency and performance of next-generation wireless networks so that more people can take advantage of seamless, immersive augmented reality experiences.

“Although these are two separate projects, you can think of it as a part of the same effort to improve augmented reality from both sides—ensuring privacy for individual users locally, and improving the network to provide a seamless, secure, and functional experience globally,” Ji said.

More information:
Matthew Corbett et al, Securing Bystander Privacy in Mixed Reality While Protecting the User Experience, IEEE Security & Privacy (2023). DOI: 10.1109/MSEC.2023.3331649

Matthew Corbett et al, BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems, Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (2023). DOI: 10.1145/3581791.3596830

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New tech addresses augmented reality’s privacy problem (2024, January 17)
retrieved 25 June 2024
from https://techxplore.com/news/2024-01-tech-augmented-reality-privacy-problem.html

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Amazon to invest extra 10 bn euros in Germany

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Amazon to invest extra 10 bn euros in Germany


amazon
Credit: Unsplash/CC0 Public Domain

Amazon said Wednesday it will invest an additional 10 billion euros ($10.7 billion) in Germany, most of it in cloud computing, the US tech giant’s latest major investment in Europe.

A total of 8.8 billion euros will come from Amazon’s cloud computing division AWS and will be invested in southwest Germany by 2026, with the rest going into logistics, robotics and company offices.

The investment comes on top of 7.8 billion euros announced last month by AWS towards building a “sovereign cloud” center in Germany.

The first sovereign cloud complex will be set up in the state of Brandenburg, and will be operational by the end of 2025.

The new system is to address concerns of some European countries and public agencies, which have been reluctant to resort to cloud computing for fear data would be transferred to other jurisdictions, notably the United States.

With its recently announced investments, Amazon said it was hiring thousands of new workers in Germany, taking its total number of permanent employees in the country to about 40,000 by the end of the year.

Chancellor Olaf Scholz said on X that the investments showed that Germany remained “an attractive business location”.

“As the government, we are working on precisely this: strengthening our competitiveness,” he said.

Germany, Europe’s top economy, sees attracting new investments in high-tech fields as crucial as it struggles to emerge from a period of weakness.

The tech giant has also in recent times announced major investments to expand data centers in Spain and to develop cloud infrastructure and logistical infrastructure of its parcel delivery system in France.

A pioneer of e-commerce, Amazon’s AWS also dominates cloud computing with 31 percent of the market at the end of 2023, according to Stocklytics.

But rivals Microsoft and Google are gaining ground.

© 2024 AFP

Citation:
Amazon to invest extra 10 bn euros in Germany (2024, June 19)
retrieved 25 June 2024
from https://techxplore.com/news/2024-06-amazon-invest-extra-bn-euros.html

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part may be reproduced without the written permission. The content is provided for information purposes only.





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