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Quantum mechanics is, at least at first glance and at least in part, a mathematical machine for predicting the behaviors of microscopic particles — or, at least, of the measuring instruments we use to explore those behaviors — and in that capacity, it is spectacularly successful: in terms of power and precision, head and shoulders above any theory we have ever had. Mathematically, the theory is well understood; we know what its parts are, how they are put together, and why, in the mechanical sense (i.e., in a sense that can be answered by describing the internal grinding of gear against gear), the whole thing performs the way it does, how the information that gets fed in at one end is converted into what comes out the other. The question of what kind of a world it describes, however, is controversial; there is very little agreement, among physicists and among philosophers, about what the world is like according to quantum mechanics. Minimally interpreted, the theory describes a set of facts about the way the microscopic world impinges on the macroscopic one, how it affects our measuring instruments, described in everyday language or the language of classical mechanics. Disagreement centers on the question of what a microscopic world, which affects our apparatuses in the prescribed manner, is, or even could be, like intrinsically; or how those apparatuses could themselves be built out of microscopic parts of the sort the theory describes.[1]

That is what an interpretation of the theory would provide: a proper account of what the world is like according to quantum mechanics, intrinsically and from the bottom up. The problems with giving an interpretation (not just a comforting, homey sort of interpretation, i.e., not just an interpretation according to which the world isn’t too different from the familiar world of common sense, but any interpretation at all) are dealt with in other sections of this encyclopedia. Here, we are concerned only with the mathematical heart of the theory, the theory in its capacity as a mathematical machine, and — whatever is true of the rest of it — this part of the theory makes exquisitely good sense.

Astronomers may have uncovered a hidden population of galaxies that could rewrite what we know about the universe’s evolution.

These faint, dusty galaxies were discovered using the deepest far-infrared image ever created, thanks to data from the Herschel Space Observatory. Their collective light might explain a long-standing mystery about the universe’s energy output in the infrared spectrum. If confirmed, these galaxies would challenge current galaxy evolution models and reveal a previously unseen side of the cosmos—one shrouded in dust and only visible in longer wavelengths of light.

Unveiling hidden galaxies in the early universe.

Pancreatic cancer is one of the most aggressive cancers and has one of the lowest survival rates—only 10% after five years. One of the factors contributing to its aggressiveness is its tumor microenvironment, known as the stroma, which makes up the majority of the tumor mass and consists of a network of proteins and different non-tumor cells. Among these, fibroblasts play a key role, helping tumor cells to grow and increasing their resistance to drugs.

Now, a study led by researchers from the Hospital del Mar Research Institute, IIBB-CSIC-IDIBAPS, Mayo Clinic, Instituto de Biología y Medicina Experimental (CONICET, Argentina) and CaixaResearch Institute, has identified a new key factor contributing to this feature of : a previously unknown function of Galectin-1 protein inside the nuclei of fibroblasts.

This discovery, published in the journal PNAS, offers new insights into the role of these cells in the progression of pancreatic cancer.

Extreme cosmic events such as colliding black holes or the explosions of stars can cause ripples in spacetime, so-called gravitational waves. Their discovery opened a new window into the universe. To observe them, ultra-precise detectors are required, but designing them remains a major scientific challenge for humans.

Researchers at the Max Planck Institute for the Science of Light (MPL) have been working on how an artificial intelligence system could explore an unimaginably vast space of possible designs to find entirely new solutions. The results were recently published in the journal Physical Review X.

More than a century ago, Einstein theoretically predicted gravitational waves. They could only be directly detected in 2016 because the development of the necessary detectors was extremely complex.

Researchers from Georgia Institute of Technology (Georgia Tech) have developed a microscopic brain sensor which is so tiny that it can be placed in the small gap between your hair follicles on the scalp, slightly under the skin. The sensor is discreet enough not to be noticed and minuscule enough to be worn comfortably all day.

Brain sensors offer high-fidelity signals, allowing your brain to communicate directly with devices like computers, augmented reality (AR) glasses, or robotic limbs. This is part of what’s known as a Brain-Computer Interface (BCI).

Researchers from the Department of Energy’s Oak Ridge National Laboratory have developed a new application to increase efficiency in memory systems for high-performance computing.

Rather than allow data to bog down traditional memory systems in supercomputers and impact performance, the team from ORNL, along with researchers from the University of Tennessee, Knoxville, created a framework to manage data more efficiently with memory systems that employ more complex structures. Research papers detailing their work were recently accepted in ACM Transactions on Architecture and Code Optimization and the International Journal of High-Performance Computing Applications.

Working under the Exascale Computing Project, or ECP, a multi-year software research, development and deployment project managed by DOE, ORNL senior computer science researcher Terry Jones and his team titled their work the “ECP Simplified Interface to Complex Memories,” or SICM, Project.

Researchers at the University of Cologne and University Hospital Cologne have determined that the novel mRNA-based COVID-19 vaccines not only induce acquired immune responses such as antibody production, but also cause persistent epigenetic changes in innate immune cells.

The study, “Persistent epigenetic memory of SARS-CoV-2 mRNA vaccination in monocyte-derived macrophages,” led by Professor Dr. Jan Rybniker, who heads the Division of Infectious Diseases at University Hospital Cologne and is a principal investigator at the Center for Molecular Medicine Cologne (CMMC), and Dr. Robert Hänsel-Hertsch, principal investigator at the CMMC, was published in Molecular Systems Biology.

The immune system comprises two immunity strategies: the innate and the acquired (adaptive) immune system. The innate immune system provides general protection from pathogens and must react quickly. The adaptive immune system adapts to new pathogens and is highly specific in its response. Both systems work closely together.

A new high-tech implant has shown “promise” in fighting some of the deadliest forms of cancer.

The cancer-fighting device safely triggers “potent” immune responses against hard-to-treat cancers, including metastatic melanoma, and pancreatic and colorectal tumors, say American scientists.

A team of researchers from the Rice Biotech Launch Pad at Rice University in Houston developed the implantable “cytokine factory”