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Archive for the ‘robotics/AI’ category: Page 736

May 15, 2023

Robotic proxy brings remote users to life in real time

Posted by in categories: robotics/AI, virtual reality

Cornell University researchers have developed a robot, called ReMotion, that occupies physical space on a remote user’s behalf, automatically mirroring the user’s movements in real time and conveying key body language that is lost in standard virtual environments.

“Pointing gestures, the perception of another’s gaze, intuitively knowing where someone’s attention is—in remote settings, we lose these nonverbal, implicit cues that are very important for carrying out design activities,” said Mose Sakashita, a doctoral student of information science.

Sakashita is the lead author of “ReMotion: Supporting Remote Collaboration in Open Space with Automatic Robotic Embodiment,” which he presented at the Association for Computing Machinery CHI Conference on Human Factors in Computing Systems in Hamburg, Germany. “With ReMotion, we show that we can enable rapid, dynamic interactions through the help of a mobile, automated robot.”

May 15, 2023

Elon Musk Claims Google Co-Founder Is Building a “Digital God”

Posted by in categories: Elon Musk, habitats, robotics/AI

In a bombastic interview with none other than Tucker freakin’ Carlson, Elon Musk made a bold claim about Google co-founder Larry Page that, we have to admit, isn’t entirely implausible.

During the newly-released Fox News interview, Musk alleged that back when he and the Google co-founder and CEO “used to be close friends” and he’d stay at the techster’s Palo Alto house, they’d get into lengthy discussions about “AI safety” — and that what Page told him led to his own cofounding of OpenAI.

In characteristic confused-puppy fashion, Carlson asked Musk what Page had said about AI.

May 15, 2023

Did Google meet the ChatGPT challenge at I/O 2023? ZDNET editors debate

Posted by in category: robotics/AI

Don’t miss our analysis of Google’s I/O most important announcements and whether Google did enough to counter the momentum of OpenAI and Microsoft.

May 15, 2023

Driverless cars creating traffic jams in San Francisco

Posted by in categories: robotics/AI, transportation

In San Francisco, where two major companies are testing driverless taxis, some local officials are reporting that the vehicles have caused a number of issues, including rolling into fire scenes and running over hoses. NBC News’ Jake Ward reports.

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May 15, 2023

Massive autonomous robot is 3 to 5 times faster than a human construction crew

Posted by in categories: robotics/AI, solar power, sustainability

The robot can drive heavy steal beams into the ground at a rate of 1 per 73 seconds, which will help expedite solar farm construction.

May 14, 2023

Study observes the interactions between live fish and fish-like robots

Posted by in categories: biological, food, robotics/AI

In recent decades, engineers have created a wide range of robotic systems inspired by animals, including four legged robots, as well as systems inspired by snakes, insects, squid and fish. Studies exploring the interactions between these robots and their biological counterparts, however, as still relatively rare.

Researchers at Peking University and China Agricultural University recently set out to explore what happens when live fish are placed in the same environment as a robotic fish. Their findings, published in Bioinspiration & Biomimetics, could both inform the development of fish-inspired robots and shed some new light on the behavior of real fish.

“Our research team has been focusing on the development of self-propelled robotic fish for a considerable amount of time,” Dr. Junzhi Yu, one of the researchers who carried out the study, told Tech Xplore. “During our , we observed an exciting phenomenon where live fish were observed following the swimming robotic fish. We are eager to further explore the underlying principles behind this phenomenon and gain a deeper understanding of this ‘fish following’ behavior.”

May 14, 2023

Should We Stop Developing AI For The Good Of Humanity?

Posted by in categories: Elon Musk, robotics/AI

Almost 30,000 people have signed a petition calling for an “immediate pause” to the development of more powerful artificial intelligence (AI) systems. The interesting thing is that these aren’t Luddites with an inherent dislike of technology. Names on the petition include Apple co-founder Steve Wozniak, Tesla, Twitter, and SpaceX CEO Elon Musk, and Turing Prize winner Yoshua Bengio.

Others speaking out about the dangers include Geoffrey Hinton, widely credited as “the godfather of AI.” In a recent interview with the BBC to mark his retirement from Google at the age of 75, he warned that “we need to worry” about the speed at which AI is becoming smarter.

Continue reading “Should We Stop Developing AI For The Good Of Humanity?” »

May 14, 2023

Elon Musk wants to develop TruthGPT, ‘a maximum truth-seeking AI’

Posted by in categories: Elon Musk, robotics/AI, space

On Tuesday, Elon Musk said in an interview with Fox News’ Tucker Carlson that he wants to develop his own chatbot called TruthGPT, which will be “a maximum truth-seeking AI” — whatever that means.

The Twitter owner said that he wants to create a third option to OpenAI and Google with an aim to “create more good than harm.”

“I’m going to start something which you call TruthGPT or a maximum truth-seeking AI that tries to understand the nature of the universe. And I think this might be the best path to safety in the sense that an AI that cares about understanding the universe is unlikely to annihilate humans because we are an interesting part of the universe,” Musk said during the Fox & Friends show.

May 14, 2023

Oh Great, They Put ChatGPT Into a Boston Dynamics Robot Dog

Posted by in category: robotics/AI

As if robot dogs weren’t creepy enough, at least one is now equipped with OpenAI’s ChatGPT and can speak aloud.

May 14, 2023

AI Models Misjudge Rule Violations: Human Versus Machine Decisions

Posted by in category: robotics/AI

Summary: Researchers found AI models often fail to accurately replicate human decisions regarding rule violations, tending towards harsher judgments. This is attributed to the type of data these models are trained on; often labeled descriptively rather than normatively, which leads to differing interpretations of rule violations.

The discrepancy could result in serious real-world consequences, such as stricter judicial sentences. Therefore, the researchers suggest improving dataset transparency and matching the training context to the deployment context for more accurate models.

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