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Category: robotics/AI – Page 974

John Danaher, Senior Lecturer in Law at the National University of Ireland (NUI) Galway:

“Understanding Techno-Moral Revolutions”

Talk held on August 24, 2021 for Colloquium of the Center for Humans and Machines at the Max Planck Institute for Human Development, Berlin.

It is common to use ethical norms and standards to critically evaluate and regulate the development and use of emerging technologies like AI and Robotics. Indeed, the past few years has seen something of an explosion of interest in the ethical scrutiny of technology. What this emerging field of machine ethics tends to overlook, however, is the potential to use the development of novel technologies to critically evaluate our existing ethical norms and standards. History teaches us that social morality (the set of moral beliefs and practices shared within a given society) changes over time. Technology has sometimes played a crucial role in facilitating these historical moral revolutions. How will it do so in the future? Can we provide any meaningful answers to this question? This talk will argue that we can and will outline several tools for thinking about the mechanics of technologically-mediated moral revolutions.

Continue reading “CHM Seminar Series: Understanding Techno-Moral Revolutions — John Danaher” | >

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GenAug has been developed by Meta AI and the University of Washington, which utilizes pre-trained text-to-image generative artificial intelligence models to enable imitation-based learning in practical robots. Stanford artificial intelligence researchers have proposed a method, called ATCON to drastically improve the quality of attention maps and classification performance on unseen data. Google’s new SingSong AI can generate instrumental music that complements your singing.

AI News Timestamps:

Continue reading “How Meta’s NEW AI Robot Tech JUST Learned To Do THIS + Computer Vision Breakthrough | GenAug” | >

What if an AI could interpret your imagination, turning images in your mind’s eye into reality? While that sounds like a detail in a cyberpunk novel, researchers have now accomplished exactly this, according to a recently-published paper.

Researchers found that they could reconstruct high-resolution and highly accurate images from brain activity by using the popular Stable Diffusion image generation model, as outlined in a paper published in December. The authors wrote that unlike previous studies, they didn’t need to train or fine-tune the AI models to create these images.

The researchers—from the Graduate School of Frontier Biosciences at Osaka University—said that they first predicted a latent representation, which is a model of the image’s data, from fMRI signals. Then, the model was processed and noise was added to it through the diffusion process. Finally, the researchers decoded text representations from fMRI signals within the higher visual cortex and used them as input to produce a final constructed image.

Read more | >

Amna Nawaz:

Artificial intelligence, or A.I., is everywhere. It’s now part of our conversations about education and politics and social media. It’s also become a hot topic in the art world.

Programs that generate art using A.I. are widely available to the public and are skyrocketing in popularity. But what goes into these programs and the work that comes out are heavily debated in the arts community.

Read more | >

A team of engineers at the University of New South Wales in Sydney, Australia, has developed a tiny, flexible robotic arm that’s designed to 3D print material directly on the surface of organs inside a living person’s body.

The futuristic device acts just like an endoscope and can snake its way into a specific location inside the patient’s body to deliver layers of special biomaterial to reconstruct tissue, clean up wounds, and even make precise incisions — an amazing jack-of-all-trades they say could revolutionize certain types of surgery.

Read more | >

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Hello and welcome! My name is Anton and in this video, we will talk about new explanations of the Fermi paradox focusing on the Hart Tipler Conjecture that tries to disprove the existence of extraterrestrial intelligence.
Links:
https://ui.adsabs.harvard.edu/abs/1975QJRAS…16…128H/abstract.
https://arxiv.org/abs/2301.09575
Potential other resolutions of Fermi paradox:
https://www.youtube.com/watch?v=b3xro2jHevk.

https://www.youtube.com/watch?v=k_B9YP5nEWw.

https://www.youtube.com/watch?v=b3xro2jHevk.
Hawking radiation: https://youtu.be/6h6MgvBLrxk.
Penrose process: https://youtu.be/A-WIsnoX2Uw.

0:00 Intro.
0:40 Hart-Tipler Conjecture in a nutshell.
3:40 Main criticism of this idea.
7:10 Potential conclusions.
9:00 Potential solutions from Quantum Computing.

Support this channel on Patreon to help me make this a full time job:

Continue reading “Where Are All The Alien Robots? Hart-Tipler Conjecture and What It Gets Wrong” | >

Bing AI makes errors and says “crazy things,” but this requires “you to provoke it quite a bit,” claims Gates.

Microsoft co-founder Bill Gates has expressed confidence in artificial intelligence (AI) and stated that it poses “no threat” to humans.

“The technology most people are playing with, it’s a generation old. It’s the version three compared to what’s integrated into Bing, which some journalists have and will be opened up more broadly,” he said in the interview.

Michael Loccisano/Getty Images.

Continue reading “Bill Gates blames people for making Microsoft’s Bing AI look ‘stupid’” | >

It’s a revolutionary step forward for soft robotics.

A team of scientists from Edinburgh has engineered smart electronic skin that could pave the way for soft, flexible robotic devices with a sense of touch, according to a press release by the institution published last week.

The technology could aid in breakthroughs in soft robotics introducing a range of applications, such as surgical tools, prosthetics, and devices to explore hazardous environments.

University of Edinburgh.

Continue reading “New e-skin could allow robots to sense touch and their surroundings” | >