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Dec 8, 2022

Levitation Breakthrough Achieved in New Study of Acoustic Radiation Force Phenomenon

Posted by in categories: mathematics, particle physics

Scientists with the University of Technology Sydney (UTS) and the University of New South Wales (UNSW) have developed a method that helps to fine-tune the control of particles using ultrasonic waves according to new research, which they say expands our understanding of the field of acoustic levitation.

The levitation of objects, once a phenomenon seen only in science fiction and fantasy, now represents a field in acoustics with practical applications in multiple research areas, industries, and even among hobbyists. However, the use of high-intensity sound waves to suspend small objects in the air is nothing new. The theoretical basis for overcoming gravity with the help of acoustic radiation pressure goes as far back as the 1930s, when researcher Louis King first studied the suspension of particles in the field of a sound wave, and how this demonstrates acoustic radiation force being exerted against them.

Later calculations beginning in the 1950s helped to further refine our understanding of the acoustic radiation force produced by the scattering of sound waves. However, the modern foundation for acoustic levitation science draws mainly from the work of superconductivity pioneer Lev. P. Gorkov, who was the first to synthesize previous studies and provide a solid mathematical basis for the phenomenon.

Continue reading “Levitation Breakthrough Achieved in New Study of Acoustic Radiation Force Phenomenon” »

Dec 8, 2022

Patrick Doan and cyberpunk: Finding humanism within transhumanism

Posted by in category: transhumanism

Candian artist Patrick Doan discusses his art, cyberpunk philosophy, and his recent trip to Vietnam.

Dec 8, 2022

Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology Dataset

Posted by in categories: biotech/medical, robotics/AI

Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and resolution possible. These models enable fine-grained control of the image production process at inference time (e.g., by utilizing text prompts) when combined with a conditioning mechanism. Large, multi-modal datasets like LAION5B, which contain billions of real image-text pairs, are frequently used to train such models. Given the proper pre-training, LDMs can be used for many downstream activities and are sometimes referred to as foundation models (FM).

LDMs can be deployed to end users more easily because their denoising process operates in a relatively low-dimensional latent space and requires only modest hardware resources. As a result of these models’ exceptional generating capabilities, high-fidelity synthetic datasets can be produced and added to conventional supervised machine learning pipelines in situations where training data is scarce. This offers a potential solution to the shortage of carefully curated, highly annotated medical imaging datasets. Such datasets require disciplined preparation and considerable work from skilled medical professionals who can decipher minor but semantically significant visual elements.

Despite the shortage of sizable, carefully maintained, publicly accessible medical imaging datasets, a text-based radiology report often thoroughly explains the pertinent medical data contained in the imaging tests. This “byproduct” of medical decision-making can be used to extract labels that can be used for downstream activities automatically. However, it still demands a more limited problem formulation than might otherwise be possible to describe in natural human language. By prompting pertinent medical terms or concepts of interest, pre-trained text conditional LDMs could be used to synthesize synthetic medical imaging data intuitively.

Continue reading “Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology Dataset” »

Dec 8, 2022

How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta

Posted by in categories: neuroscience, robotics/AI

Have you ever wondered what makes you intelligent? How are you able to see, hear, think, read, sing, solve problems, and perform any number of intelligent tasks?

Your brain learns a model of the world, and this model recreates the structure of everything you know. Everything you do and experience is based on this model. Intelligence is the ability to create this model of the world.

Continue reading “How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta” »

Dec 8, 2022

Prof Levin, Prof Frasch (2022) Mitochondria, bioenergetics, information, electric fields

Posted by in category: biotech/medical

Mitochondria, bioenergetics, information and electric fields: implications for repair and regeneration.
Professor Michael Levin, Allen Discovery Centre, Tufts University.
Professor Wayne Frasch, Biomedicine and Biotechnology faculty group, Arizona State University.
The Guy Foundation Autumn Series 2022.

Visit our website: www.theguyfoundation.org.

Dec 8, 2022

New Study Finds That Deep Brain Stimulation Is Highly Effective in Treating Severe OCD

Posted by in categories: biotech/medical, neuroscience

The symptoms of severe obsessive-compulsive disorder, or OCD as it is more popularly known, may be reduced by half with deep brain stimulation, according to a pooled data analysis of the available data, which was recently published in the Journal of Neurology, Neurosurgery, & Psychiatry.

According to the research, two-thirds of individuals who were affected saw a significant improvement after two years.

OCD is characterized by intrusive and persistent obsessive thoughts, as well as dysfunctional and ritualized behaviors. It is estimated that up to 3% of the population is affected by it.

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Dec 8, 2022

Should Humans Be IMMORTAL?

Posted by in category: life extension

In this video, we’ll discuss whether or not humans should be immortal. We’ll look at the benefits and drawbacks of immortality, and weigh the pros and cons of living forever.

Does living forever sound like a desirable goal? Or is it something you’d rather not risk putting your health and wellbeing at risk? Let’s discuss in this video!

Dec 8, 2022

Wormholes in a Lab? How About String Theory & Extra Dimensions Too?

Posted by in categories: cosmology, quantum physics

Did you hear that #physicists simulated a baby #wormhole in a lab? Well, it’s even more true that #StringTheory and #ExtraDimensions were discovered in the ’60s. Think I’m joking? I’m not. To learn what’s true/false in the wormhole story, read this first.

Dec 8, 2022

The smallest robotic arm you can imagine is controlled by artificial intelligence

Posted by in categories: nanotechnology, particle physics, robotics/AI

Researchers used deep reinforcement learning to steer atoms into a lattice shape, with a view to building new materials or nanodevices.

In a very cold vacuum chamber, single atoms of silver form a star-like . The precise formation is not accidental, and it wasn’t constructed directly by either. Researchers used a kind of artificial intelligence called learning to steer the atoms, each a fraction of a nanometer in size, into the lattice shape. The process is similar to moving marbles around a Chinese checkers board, but with very tiny tweezers grabbing and dragging each atom into place.

The main application for deep is in robotics, says postdoctoral researcher I-Ju Chen. “We’re also building robotic arms with deep learning, but for moving atoms,” she explains. “Reinforcement learning is successful in things like playing chess or video games, but we’ve applied it to solve at the nanoscale.”

Dec 8, 2022

Chinese companies claim they have built the world’s biggest 16 MW wind turbine

Posted by in category: sustainability

It’s claimed to have been created following calls made by Chinese authorities for the independent development of cutting-edge technology.

In East China’s Fujian Province, a huge offshore wind turbine with the world’s largest per-unit capacity has come off the assembly line, according to China’s China Three Gorges Corporation (CTG). According to CTG, the 16-megawatt wind turbine boasts the world’s longest impeller diameter of 827-foot (252 meters), the lightest per megawatt weight, and a 480-foot (146-meter) hub, which is equivalent to the height of a 50-story structure.

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