For centuries, the I-Ching, or Book of Changes, has fascinated scholars, mystics, and seekers alike. It is often considered a mere divination tool, a mystical means of interpreting the world through the casting of hexagrams.
But what if the I-Ching is something more? What if it operates as a structured probability space, exhibiting patterns and behaviors reminiscent of quantum mechanics?
Our latest research suggests that the I-Ching might not be a random oracle but instead a system governed by deep mathematical structures.
An electrospray engine applies an electric field to a conductive liquid, generating a high-speed jet of tiny droplets that can propel a spacecraft. These miniature engines are ideal for small satellites called CubeSats that are often used in academic research.
Since electrospray engines utilize propellant more efficiently than the powerful, chemical rockets used on the launchpad, they are better suited for precise, in-orbit maneuvers. The thrust generated by an electrospray emitter is tiny, so electrospray engines typically use an array of emitters that are uniformly operated in parallel.
However, these multiplexed electrospray thrusters are typically made via expensive and time-consuming semiconductor cleanroom fabrication, which limits who can manufacture them and how the devices can be applied.
Nanoparticle researchers spend most of their time on one thing: counting and measuring nanoparticles. Each step of the way, they have to check their results. They usually do this by analyzing microscopic images of hundreds of nanoparticles packed tightly together. Counting and measuring them takes a long time, but this work is essential for completing the statistical analyses required for conducting the next, suitably optimized nanoparticle synthesis.
Alexander Wittemann is a professor of colloid chemistry at the University of Konstanz. He and his team repeat this process every day. “When I worked on my doctoral thesis, we used a large particle counting machine for these measurements. It was like a cash register, and, at the time, I was really happy when I could measure three hundred nanoparticles a day,” Wittemann remembers.
However, reliable statistics require thousands of measurements for each sample. Today, the increased use of computer technology means the process can move much more rapidly. At the same time, the automated methods are very prone to errors, and many measurements still need to be conducted, or at least double-checked, by the researchers themselves.
Lithium nickel oxide (LiNiO2) has emerged as a potential new material to power next-generation, longer-lasting lithium-ion batteries. Commercialization of the material, however, has stalled because it degrades after repeated charging.
University of Texas at Dallas researchers have discovered why LiNiO2 batteries break down, and they are testing a solution that could remove a key barrier to widespread use of the material. They published their findings in the journal Advanced Energy Materials.
The team plans first to manufacture LiNiO2 batteries in the lab and ultimately to work with an industry partner to commercialize the technology.
A new understanding of our relationship with our ‘friendly’ gut microbes shows they actually have a dark side and help cause ageing. Here’s how to fight back.
AI, Deep Dive, spacetime inertia, unified energy framework, gravity, dark matter, dark energy, black holes, emergent gravity, energy inertia, mass-energy interactions, missing mass problem, cosmic expansion, event horizon mechanics, Einstein’s General Relativity, spacetime curvature, galactic rotation curves, quantum field theory, spacetime as energy, energy resistance, inertial effects, graviton alternative, energy density distribution, inverse-square law, gravitational lensing, galactic halos, high-energy cosmic regions, X-ray emissions, electromagnetic fields, cosmological constant, accelerating universe, large-scale inertia, spacetime resistance, event horizon physics, singularity alternatives, James Webb Space Telescope, early galaxy formation, modified gravity, inertia-driven cosmic expansion, energy saturation point, observational cosmology, new physics, alternative gravity models, astrophysical testing, theoretical physics, unification of forces, experimental validation, fundamental physics revolution, black hole structure, cosmic energy fields, energy gradient effects, resistance in spacetime, extreme energy zones, black hole event horizons, quantum gravity, astrophysical predictions, future space observations, high-energy astrophysics, cosmic structure formation, inertia-based galaxy evolution, spacetime fluid dynamics, reinterpreting physics, mass-energy equivalence.
Description: In this deep dive into the nature of gravity, dark matter, and dark energy, we explore a groundbreaking hypothesis that could revolutionize our understanding of the universe. What if gravity is not a fundamental force but an emergent property of spacetime inertia? This novel framework, proposed by Dave Champagne, reinterprets the role of energy and inertia within the fabric of the cosmos, suggesting that mass-energy interactions alone can account for gravitational effects—eliminating the need for exotic matter or hypothetical dark energy forces.
We begin by examining the historical context of gravity, from Newton’s classical mechanics to Einstein’s General Relativity. While these theories describe gravitational effects with incredible accuracy, they still leave major mysteries unsolved, such as the unexplained motions of galaxies and the accelerating expansion of the universe. Traditionally, these anomalies have been attributed to dark matter and dark energy—hypothetical substances that have yet to be directly observed. But what if there’s another explanation?
Quantum computing is an alternative computing paradigm that exploits the principles of quantum mechanics to enable intrinsic and massive parallelism in computation. This potential quantum advantage could have significant implications for the design of future computational intelligence systems, where the increasing availability of data will necessitate ever-increasing computational power. However, in the current NISQ (Noisy Intermediate-Scale Quantum) era, quantum computers face limitations in qubit quality, coherence, and gate fidelity. Computational intelligence can play a crucial role in optimizing and mitigating these limitations by enhancing error correction, guiding quantum circuit design, and developing hybrid classical-quantum algorithms that maximize the performance of NISQ devices. This webinar aims to explore the intersection of quantum computing and computational intelligence, focusing on efficient strategies for using NISQ-era devices in the design of quantum-based computational intelligence systems.
Speaker Biography: Prof. Giovanni Acampora is a Professor of Artificial Intelligence and Quantum Computing at the Department of Physics “Ettore Pancini,” University of Naples Federico II, Italy. He earned his M.Sc. (cum laude) and Ph.D. in Computer Science from the University of Salerno. His research focuses on computational intelligence and quantum computing. He is Chair of the IEEE-SA 1855 Working Group, Founder and Editor-in-Chief of Quantum Machine Intelligence. Acampora has received multiple awards, including the IEEE-SA Emerging Technology Award, IBM Quantum Experience Award and Fujitsu Quantum Challenge Award for his contributions to computational intelligence and quantum AI.
