Lifeboat Foundation

A time crystal, as originally proposed in 2012, is a new state of matter in which the particles are in continuous oscillatory motion. Time crystals break time-translation symmetry. Discrete time crystals do so by oscillating under the influence of a periodic external parametric force, and this type of time crystal has been demonstrated in trapped ions, atoms and spin systems.

Continuous time crystals are more interesting and arguably more important, as they exhibit continuous time-translation symmetry but can spontaneously enter a regime of periodic motion, induced by a vanishingly small perturbation. It is now understood that this state is only possible in an open system, and a continuous quantum-time-crystal state has recently been observed in a quantum system of ultracold atoms inside an optical cavity illuminated with light.

In a paper published in Nature Physics, researchers at University of Southampton in the U.K. showed that a classical metamaterial nanostructure can be driven to a state that exhibits the same key characteristics of a continuous time crystal.

In a new study in Nature Machine Intelligence, researchers Bojian Yin and Sander Bohté from the HBP partner Dutch National Research Institute for Mathematics and Computer Science (CWI) demonstrate a significant step towards artificial intelligence that can be used in local devices like smartphones and in VR-like applications, while protecting privacy.

They show how brain-like neurons combined with novel learning methods enable training fast and energy-efficient spiking neural networks on a large scale. Potential applications range from wearable AI to speech recognition and Augmented Reality.

While modern artificial neural networks are the backbone of the current AI revolution, they are only loosely inspired by networks of real, biological neurons such as our brain. The brain however is a much larger network, much more energy-efficient, and can respond ultra-fast when triggered by external events. Spiking neural networks are special types of neural networks that more closely mimic the working of biological neurons: the neurons of our nervous system communicate by exchanging electrical pulses, and they do so only sparingly.

Year 2013 😗😁

Shamees Aden, a British designer and scientist, has come up with a concept for a pair of self-repairing shoes of synthetic protocell materials.

Protocells are molecules that on their own are not alive, but when used with other types of protocells can mimic the properties of living organisms. They react to heat, light and pressure like live cells.

Continue reading “New self-repairing bio-shoe concept unveiled” »

😗😁

Jizai Arms.

“Half a century since the concept of a cyborg was introduced, Jizai-bodies (digital cyborgs), enabled by the spread of wearable robotics, are the focus of much research in recent times,” states the company’s website.

https://youtube.com/watch?v=xCaPasy-eXA

Volcanoes are enigmatic and formidable forces of nature, with unbelievable power that can shatter the very foundation of the Earth.

These colossal mountains of molten rock and ash have the ability to unleash devastation on a scale that is beyond human comprehension. While most of us don’t have to see the deadly effects of volcanic eruptions everyday, it doesn’t mean that they don’t happen.

Continue reading “NASA Just Announced That A 50mi Eruption Has Cracked Open The Seafloor At Hunga Tonga” »

Discover the fascinating world of digital immortality and the pivotal role artificial intelligence plays in bringing this concept to life. In this captivating video, we delve into the intriguing idea of preserving our consciousness, memories, and personalities in a digital realm, potentially allowing us to live forever in a virtual environment. Unravel the cutting-edge AI technologies like mind uploading, AI-powered avatars, and advanced brain-computer interfaces that are pushing the boundaries of what it means to be alive.

Join us as we explore the ethical considerations, current progress, and future prospects of digital immortality. Learn about the ongoing advancements in brain-computer interfaces such as Neuralink, AI-powered virtual assistants like ChatGPT, and the challenges and opportunities that lie ahead. Will digital immortality redefine humanity’s relationship with life, death, and existence itself? Watch now to uncover the possibilities.

Continue reading “Digital Immortality Uncovered: How AI Could Help Us Live Forever” »

We just got a little closer to boldly going where we never have before.

Scientists say they solved the Hawking information paradox, which states that information can neither be emitted from a black hole or preserved inside forever.

New research by biotech Integrated Biosciences and scientists from MIT and the Broad Institute of MIT and Harvard has demonstrated the potential of AI in discovering novel senolytic compounds.

Longevity. Technology: Senolytics are small molecules that suppress age-related processes such as fibrosis, inflammation and cancer. They target senescent cells – the so-called ‘zombie’ cells that are no longer dividing, emit toxic chemicals and are a hallmark of aging. Senescent cells have been linked to various age-related diseases, including cancer, cardiovascular disease, diabetes and Alzheimer’s disease, but senolytic compounds can tackle them by selectively inducing apoptosis or programmed cell death in these zombie cells. This new research reduced the number of senescent cells and lowered the expression of senescence-associated genes in aged mice, results which, the authors say “underscore the promise of leveraging deep learning to discover senotherapeutics” [1].

The AI-guided screening of more than 800,000 compounds led to the identification of three drug candidates, which, when compared with senolytics currently under investigation, were found to have comparable efficacy and superior medicinal chemistry properties [1].