Lifeboat Foundation

This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable the evaluation of industrial value creation chains. In particular, two different mechanisms for the integration of information between circuits operating at different layers are proposed, where their behavior is analyzed and compared with the classical conditional probability tables linked to the Bayesian networks. With the proposed method, both linear and nonlinear behaviors become possible while the complexity remains bounded. Applications in the case of Industry 4.0 are discussed when a component’s health is under consideration, where the effect of integration between different quantum cyber-physical digital twin models appears as a relevant implication.

Subject terms: Quantum simulation, Qubits.

Cyber-physical systems (CPS) are integrations of computational and physical components that can interact with humans through new and different modalities. A key to future technological development is precisely this new and different capacity of interaction together with the new possibilies that these systems pose for expanding the capabilities of the physical world through computation, communication and control¹. When CPS are understood within the industrial practice fueled by additional technologies such as Internet of Things (IoT), people refer to the Industry 4.0 paradigm². The design of many industrial engineering systems has been performed by separately considering the control system design from the hardware and/or software implementation details.

^c Department of Chemical Biology, Xiamen University, Xiamen, 361,005, China.

The concept of xeno-nucleic acids (XNAs) was first proposed in 2009 in a theoretical paper, referring to additional types of nucleic acids, whose sugar moieties would differ from those in DNA and RNA. However, with the rising popularity of XNAs, the definition of XNAs has been extended to unnatural nucleic acids with chemically modified sugar, nucleobase, or phosphate moieties that are distinct from those found in DNA and RNA. The discovery and engineering of both polymerases and reverse transcriptases to synthesize, replicate and evolve a diverse range of XNAs has attracted significant attention and has enabled the discovery of XNA ligands (aptamers) and XNA catalysts (XNAzymes) as well as the synthesis of XNA nanostructures with potential as novel therapeutics. The field of XNAs continues to grow rapidly towards realizing the potential of XNAs in biotechnology and molecular medicine. This themed issue unites a collection of articles attesting to the rapid progress in the field.

One of the key advantages of XNAs is their generally enhanced resistance to nuclease degradation. This biostability, the affinity and specificity towards a target, and the general lack of immunogenicity of modified nucleic acids are critical for their potential application as therapeutics. Modified sugar moieties such as 2′-modified analogs, conformationally locked analogs, and threose-replaced analogs in particular contribute to the increased biological stability of XNAs against enzymatic degradation. Replacing the phosphodiester linkages with charge-neutral backbones including peptide-like backbones and triazole-linked backbones offers further opportunities to tune the stability, conformation and physicochemical properties of XNAs and enhance the affinity to their targets.

A quantum computational solution for engineering materials. Researchers at Argonne explore the possibility of solving the electronic structures of complex molecules using a quantum computer. If you know the atoms that compose a particular molecule or solid material, the interactions between those atoms can be determined computationally, by solving quantum mechanical equations — at least, if the molecule is small and simple. However, solving these equations, critical for fields from materials engineering to drug design, requires a prohibitively long computational time for complex molecules and materials.

The resulting materials could be used for capturing greenhouse gases.

MIT researchers have used a computational model to identify about 10,000 possible metal-organic framework MOF structures that they classify as “ultrastable.” These states make them good candidates for applications such as converting methane gas to methanol.

“When people come up with hypothetical MOF materials, they don’t necessarily know beforehand how stable that material is,” said in a statement published on Tuesday Heather Kulik, an MIT associate professor of chemistry and chemical engineering and the senior author of the study.

In this episode, learn the art of prompt engineering to enhance your ChatGPT interactions. Discover tips for crafting effective prompts, interpreting results, and fine-tuning inputs. Ideal for both beginners and experienced users. Like, comment, and subscribe for more Singularity Syndicate episodes!

The invisibility cloak that Harry Potter wears in J. K. Rowling’s books is woven from the hair of a magical creature. But in the real world, the magic of invisibility is not dependent on fantasy, but rather on science and engineering.

Then there is quantum stealth technology that uses colouration patterns to hide objects in plain sight.

There are even camouflage technologies that make something as large as a tank appear to be local foliage, absorbing the characteristics of the organic and inorganic materials found on a battlefield.

Continue reading “The Pursuit Of Better Camouflage Could Lead To An Invisibility Cloak” »

Vow, an Australian cultivated food company that creates meat in a laboratory setting from animal cells, says that it has used advanced molecular engineering to resurrect the woolly mammoth in meatball form, by combining original mammoth DNA with fragments of an African elephant’s DNA.

James Ryall, Vow’s chief science officer, said that the company first identified the mammoth myoglobin, a protein that is key to giving meat its color and taste, and then used publicly available data to identify the DNA sequence in mammoths.

Australian company Vow says it has used advanced molecular engineering to resurrect the woolly mammoth in meatball form.

Continue reading “Cultured meat firm resurrects woolly mammoth in lab-grown meatball” »

Microsoft Teams has been totally overhauled to run faster and have a more simplified interface.

Microsoft is overhauling its Teams app today to make it faster and easier to use. Microsoft Teams has been rebuilt from the ground up, with a new preview available today for businesses to try out this radical rework that has been years in the making.

“The new Teams is faster, simpler, and more flexible than ever before,” says Sumi Singh, CVP of engineering for Microsoft Teams, in an interview with The Verge. “We’ve made tremendous strides in performance and usability. The new Teams is 2x faster while using 50 percent fewer resources.”

Continue reading “The new Microsoft Teams is here with big performance improvements and UI changes” »

Tapping The Power Of The Stars — Dr. Andrea Kritcher Ph.D., Lawrence Livermore National Laboratory, U.S. Department of Energy.

Dr. Andrea (Annie) Kritcher, Ph.D. is a nuclear engineer and physicist who works at the Lawrence Livermore National Laboratory (https://www.llnl.gov/). She is the design lead of the HYBRID-E capsule technology within Lawrence Livermore’s Inertial Confinement Fusion (ICF) program, and is a member of the ICF leadership team and lead designer for shot N210808, at their National Ignition Facility, a recent experiment that heralded a significant step towards a fusion break-even target. She was elected Fellow of the American Physical Society in 2022.

Continue reading “Dr. Annie Kritcher, Ph.D. — National Ignition Facility — LLNL — Tapping The Power Of The Stars” »