Lifeboat Foundation

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate the efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.

Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies critically on understanding the dynamical properties of the nano–bio interface.

Modeling the properties of the nano-bio interface is demanding since the important processes such as electronic charge transfer, chemical reactions or restructuring of the biomolecule surface can take place in a wide range of length and time scales, and the atomistic simulations need to be run in the appropriate aqueous environment.

El Capitan is now the most powerful supercomputer in existence, as proven by TOP500’s list.

Even the biggest investors often make terrible trading decisions for their portfolios.

At an AI summit in Tokyo on Wednesday, Jensen Huang and Masayoshi Son joked about how SoftBank was once Nvidia’s largest shareholder before dumping its stake. The two billionaires are now joining forces on a Japanese supercomputer. SoftBank, which until early 2019 owned 4.9% of Nvidia, has secured a favorable spot in line for the chipmaker’s latest products.\r.
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Researchers at New York University have devised a mathematical approach to predict the structures of crystals—a critical step in developing many medicines and electronic devices—in a matter of hours using only a laptop, a process that previously took a supercomputer weeks or months. Their novel framework is published in the journal Nature Communications.

As quantum computing grows, researchers are urgently preparing for its impact on cybersecurity by developing quantum-resistant cryptographic protocols.

This research, led by experts at the National Center for Supercomputing Applications, focuses on safeguarding supercomputing infrastructures against quantum threats.

Quantum Computing and Cybersecurity.

Discovering Advanced Civilizations: Type 1 To 7 And Minus 0 To Minus 3: How Far Can We Go?
he kardashev scale type From Type 1 To 7 And Theand Reverse Scale: How Far Can We Go?
The Kardashev scale is a method used to determine a civilization’s technological advancement, which divides civilizations into three types, with type 1 being the simplest civilization of all.
The civilization created by the human race is not yet advanced enough to be considered a type 1 civilization. How long until we reach that classification? Stay to find out.
“Introduction“
Astrophysicist Nikolai Kardashev developed the Kardashev scale in 1964 to determine some characteristics that would facilitate the search for extraterrestrial life.
After analyzing several conditions in the history of the human race, Kardashev realized that there is a need that grows as civilization does, energy.
As the human race has expanded worldwide, so needs for energy.
Suppose this is inherent in all species that become an intelligent race. In that case, a hypothetical race of aliens who come to forge a civilization as significant or more extensive than that of humans will eventually also have an energy deficit.
To solve this energy need, an extraterrestrial race must develop technologies to meet the demand for energy needed to sustain all members of their civilization.
Kardashev theorized that in this sense, there must be 3 types of civilizations:
Type 1: A civilization that can harness all the energy its home planet gives them.
Type 2: A civilization that can harness the energy of its entire solar system.
Type 3: A civilization that can harness all the energy provided by the galaxy it is in.

“A type VII or K7 civilization would travel, transcend and ultimately oversee or ”be” the Omniverse which is the collection of every single universe, multiverse, megaverse, paraverse, 11d dimension, and 1st realm (reality). Everything is in the Omniverse, and there is only one Omniverse.” In other words, such a civilization would be as closest as godly as possible.
However, the achievement of a type 7 civilization will only be the end of a very long process of technological advancement and connection with the cosmos. To get there, we would first need to go to all the other civilization types that make up the scale. Let’s see what they consist of.
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Continue reading “The Kardashev Scale: Type 1 To Type 7 Civilizations And Reverse Scale” »

Scientists at Brookhaven National Laboratory have used supercomputer simulations to predict electric charge distributions in mesons, essential for understanding the subatomic structure of matter.

Upcoming experiments at the Electron-Ion Collider (EIC) will further validate these predictions, offering new insights into how quarks and gluons interact to form visible matter.

Exploring Meson Charge Distribution

Scientists have revolutionized the field of quantum photonics by employing high-performance computing to analyze quantum detectors at an unprecedented scale.

Their innovative approach involves the tomographic reconstruction of experimental data, enabling rapid and efficient characterization of photon detectors. This development promises to enhance quantum research significantly, paving the way for advanced applications in quantum computing and communication.

Breakthrough in quantum photonics with high-performance computing.

Nuclear physics theorists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have demonstrated that complex calculations run on supercomputers can accurately predict the distribution of electric charges in mesons, particles made of a quark and an antiquark. Scientists are keen to learn more about mesons—and the whole class of particles made of quarks, collectively known as hadrons—in high-energy experiments at the future Electron-Ion Collider (EIC), a particle collider being built at Brookhaven Lab.