When large language models (LLMs) are allowed to interact without any preset goals, scientists found distinct personalities emerged by themselves.
Category: robotics/AI – Page 61
Are Space Elevators Still a Thing for the Future?
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It’s been an idea that has been around since 1895 but only since the 1960s that it was taken seriously. But the biggest issue is how to make a cable over 36,000km that is light enough and strong enough. We now have the ability to make the materials but can we make them long enough to make it a reality, find out in today’s video.
Written, researched and presented by Paul Shillito.
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Powering AI from space, at scale, with a passive tether design
Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically scale to meet the growing demand for AI computing while reducing the environmental impact of data centers.
Reminiscent of a leafy plant, with multiple, hardware-containing stems connected to branching, leaf-like solar panels, the design leverages decades of research on “tethers,” rope-like cables that naturally orient themselves under the competing forces of gravity and centrifugal motion. This architecture could scale to the thousands of computing nodes needed to replicate the power of terrestrial data centers, at least for AI inference, the process of querying tools like ChatGPT after their training concludes.
Unlike prior designs, which typically require constant adjustments to keep solar panels pointed toward the sun, the new system is largely passive, its orientation maintained by natural forces acting on objects in orbit. By relying on these stabilizing effects, the design reduces weight, power consumption, and overall complexity, making large-scale deployment more feasible.
Foundation AI models trained on physics, not words, are driving scientific discovery
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.
While most AI models—including ChatGPT—are trained on text and images, a multidisciplinary team, including researchers from the University of Cambridge, has something different in mind: AI trained on physics.
Synthetic ‘muscle’ with microfluidic blood vessels shows promise for soft robotics
Researchers are continuing to make progress on developing a new synthetic material that behaves like biological muscle, an advancement that could provide a path to soft robotics, prosthetic devices and advanced human-machine interfaces. Their research, recently published in Advanced Functional Materials, demonstrates a hydrogel-based actuator system that combines movement, control and fuel delivery in a single integrated platform.
Biological muscle is one of nature’s marvels, said Stephen Morin, associate professor of chemistry at the University of Nebraska–Lincoln. It can generate impressive force, move quickly and adapt to many different tasks. It is also remarkable in its flexibility in terms of energy use and can draw on sugars, fats and other chemical stores, converting them into usable energy exactly when and where they are needed to make muscles move.
A synthetic version of muscle is one of the Holy Grails of material science.
People are swayed by AI-generated videos even when they know they’re fake, study shows
Generative deep learning models are artificial intelligence (AI) systems that can create texts, images, audio files, and videos for specific purposes, following instructions provided by human users. Over the past few years, the content generated by these models has become increasingly realistic and is often difficult to distinguish from real content.
Many of the videos and images circulating on social media platforms today are created by generative deep learning models, yet the effects of these videos on the users viewing them have not yet been clearly elucidated. Concurrently, some computer scientists have proposed strategies to mitigate the possible adverse effects of fake content diffusion, such as clearly labeling these videos as AI-generated.
Researchers at University of Bristol recently carried out a new study set out to better understand the influence of deepfake videos on viewers, while also assessing user perceptions when AI-generated videos are labeled as “fake.” Their findings, published in Communications Psychology, suggest that knowing that a video was created with AI does not always make it less “persuasive” for viewers.
Micro-ultrasound for prostate cancer
This Review focuses on micro-ultrasound as a new imaging technology in prostate cancer detection, comparing micro-ultrasound performance with that of the current standard MRI. The potential of micro-ultrasound in other applications, including tumour staging and active surveillance, as well as the use of artificial intelligence to support biopsy decision-making, are also discussed, based on completed and ongoing trials.