Lifeboat Foundation

Researchers from the University of Warsaw’s Faculty of Physics, in collaboration with experts from the QOT Centre for Quantum Optical Technologies, have pioneered an innovative technique that allows the fractional Fourier Transform of optical pulses to be performed using quantum memory.

This achievement is unique on the global scale, as the team was the first to present an experimental implementation of the said transformation in this type of system. The results of the research were published in the prestigious journal Physical Review Letters.

Physical Review Letters (PRL) is a peer-reviewed scientific journal published by the American Physical Society. It is one of the most prestigious and influential journals in physics, with a high impact factor and a reputation for publishing groundbreaking research in all areas of physics, from particle physics to condensed matter physics and beyond. PRL is known for its rigorous standards and short article format, with a maximum length of four pages, making it an important venue for rapid communication of new findings and ideas in the physics community.

In the study, published today in Science Translational Medicine, the researchers used engineered CAR T cells to target CD45—a surface marker found on nearly all blood cells, including nearly all blood cancer cells. Because CD45 is found on healthy blood cells too, the research team used CRISPR base-editing to develop a method called “epitope editing” to overcome the challenges of an anti-CD45 strategy, which would otherwise result in low blood counts, with potentially life-threating side effects. The early results represent a proof-of-concept for epitope editing, which involves changing a small piece of the target CD45 molecule just enough so that the CAR T cells don’t recognize it, but it… More.

A broad new strategy could hold hope for treating virtually all blood cancers with CAR T cell therapy, which is currently approved for five subtypes of blood cancer. A new preclinical, proof-of-concept study details the “epitope-editing” approach.

If people remember how sampling changed music, watch what this guys does to make AI music. A long time ago when people said AI will replace musicians, I replied AI is just a sampler. If people use a Tupac voice on a song like this guy did, they just pay royalties. Then with samplers arists made sample disks royalty free. They make money when you buy the sample disk. The same with AI, you just upload your sample disk into your AI, whether the music AI is from Meta or Google. Yeah Meta has music AI, you can see it used here.

Welcome to a showcase of sounds sampled through the power of artificial intelligence. Gone are the days of vinyl digging; now, we embrace prompt digging…

Continue reading “A.I. Sampling and how the Music Industry will change forever” »

PHILADELPHIA—Trying to finish your homework while the big game is on TV? “Visual-movement” neurons in the front of your brain can help you stay focused, according to a new study from neuroscientists in the Perelman School of Medicine at the University of Pennsylvania.

In the study, published recently in Neuron, the scientists sought to illuminate the neural mechanism that helps the brain decide whether to focus visual attention on a rewarding task or an alluring distraction. By analyzing neuron activity in animal models as they faced this kind of attentional conflict, the researchers discovered that a pattern of coordinated activity called “beta bursts” in a set of neurons in the lateral prefrontal cortex (LPFC)—a section in the front of the brain responsible for motivation and rewards—appears to have a major role in keeping attention task-focused, essentially by suppressing the influence of the distracting stimulus.

“Our research suggests that while all brains have the ability to focus on a rewarding task and filter out distractions, some are better at it than others,” said senior author Bijan Pesaran PhD, the Robert A Groff II Professor of Neurosurgery at Penn Medicine. “By understanding how our brains process rewarding stimuli, we hope to be able to also understand failures to do so in a variety of cognitive and psychiatric disorders, including attention deficit disorder, schizophrenia, and obsessive-compulsive disorder.”

With the emergence of AI, researchers are diving into the capabilities of these large language models, and one researcher has found intent for deception.

Excitingly, the researchers told New Scientist that if kept out of UV light, the products have the potential to last for a very long time. When it ultimately comes time to sunset the device, the substrate can simply be placed in soil, where it will biodegrade — thus naturally separating from the more recyclable computer components that the substrates hold.

The results have been promising. According to a press release, the material was tested by soldering a standard computer chip into it — and the researchers say the mushroom skin did pretty a solid job. And though it’s not ready for production just yet, the hope is that one day this mycelium material will become the substrate norm for printed circuit boards, flexible electronics, and even some medical devices.

“The prototypes produced are impressive,” Andrew Adamatzky, a computer scientist at the University of the West of England, told New Scientist, “and the results are groundbreaking.”

Quantum computers, systems that perform computations by exploiting quantum mechanics phenomena, could help to efficiently tackle several complex tasks, including so-called combinatorial optimization problems. These are problems that entail identifying the optimal combination of variables among several options and under a series of constraints.

Quantum computers that can tackle these problems should be based on reliable hardware systems, which have an intricate all-to-all node connectivity. This connectivity ultimately allows graphs representing arbitrary dimensions of a problem to be directly mapped onto the computer hardware.

Researchers at University of Minnesota recently developed a new electronic device based on standard complementary metal oxide semiconductor (CMOS) technology that could support this crucial mapping process. This device, introduced in a paper in Nature Electronics, is a physics-based Ising solver comprised of coupled ring oscillators and an all-to-all node connected architecture.

Jibo, a robot engineered by MIT Professor and Dean for Digital Learning Cynthia Breazeal, who is also the founder of the institution’s Media Lab Personal Robots Group (PRG), is a personal robot that can actually do what even few humans can: explain emotions. It achieves this in several languages, including English and Arabic.

Industrial Internet of Things (IIoTs) refers to a technology that combines wireless sensors, controllers, and mobile communication technologies to make every aspect of industrial production processes intelligent and efficient. Since IIoTs can involve several small battery-driven devices and sensors, there is a growing need to develop a robust network for data transmission and power transfer to monitor the IIoT environment.

In this regard, wireless power transfer is a promising technology. It utilizes radio frequency signals to power small devices that consume minimal power. Recently, simultaneous wireless information and power transfer (SWIPT), which utilizes a single radio frequency signal to simultaneously perform energy harvesting and information decoding, has attracted significant interest for IIoTs.

Additionally, with smart devices rapidly growing in number, SWIPT has been combined with nonorthogonal multiple access (NOMA) system, which is a promising candidate for IIoTs due to their ability to extend the battery life of sensors and other devices. However, the energy efficiency of this system falls significantly with transmission distance from the central controller.