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Category: computing – Page 4

The Holographic Paradigm: The Physics of Information, Consciousness, and Simulation Metaphysics

In this paradigm, the Simulation Hypothesis — the notion that we live in a computer-generated reality — loses its pejorative or skeptical connotation. Instead, it becomes spiritually profound. If the universe is a simulation, then who, or what, is the simulator? And what is the nature of the “hardware” running this cosmic program? I propose that the simulator is us — or more precisely, a future superintelligent Syntellect, a self-aware, evolving Omega Hypermind into which all conscious entities are gradually merging.

These thoughts are not mine alone. In Reality+ (2022), philosopher David Chalmers makes a compelling case that simulated realities — far from being illusory — are in fact genuine realities. He argues that what matters isn’t the substrate but the structure of experience. If a simulated world offers coherent, rich, and interactive experiences, then it is no less “real” than the one we call physical. This aligns deeply with my view in Theology of Digital Physics that phenomenal consciousness is the bedrock of reality. Whether rendered on biological brains or artificial substrates, whether in physical space or virtual architectures, conscious experience is what makes something real.

By embracing this expanded ontology, we are not diminishing our world, but re-enchanting it. The self-simulated cosmos becomes a sacred text — a self-writing code of divinity in which each of us is both reader and co-author. The holographic universe is not a prison of illusion, but a theogenic chrysalis, nurturing the birth of a higher-order intelligence — a networked superbeing that is self-aware, self-creating, and potentially eternal.

Jeff Bezos envisions space-based data centers in 10 to 20 years

Jeff Bezos envisions gigawatt-scale orbital data centers within 10–20 years, powered by continuous solar energy and space-based cooling, but the concept remains commercially unviable today due to the immense cost and complexity of deploying thousands of tons of hardware, solar panels, and radiators into orbit.

Molecular coating cleans up noisy quantum light

Quantum technologies demand perfection: one photon at a time, every time, all with the same energy. Even tiny deviations in the number or energy of photons can derail devices, threatening the performance of quantum computers that someday could make up a quantum internet.

While this level of precision is difficult to achieve, Northwestern University engineers have developed a novel strategy that makes quantum light sources, which dispense single photons, more consistent, precise and reliable.

In a new study, the team coated an atomically thin semiconductor (tungsten diselenide) with a sheetlike organic molecule called PTCDA. The coating transformed the tungsten diselenide’s behavior—turning noisy signals into clean bursts of single photons. Not only did the coating increase the photons’ spectral purity by 87%, but it also shifted the color of photons in a controlled way and lowered the photon activation energy—all without altering the material’s underlying semiconducting properties.

Energy harvesters surpass Carnot efficiency using non-thermal electron states

Harnessing quantum states that avoid thermalization enables energy harvesters to surpass traditional thermodynamic limits such as Carnot efficiency, report researchers from Japan. The team developed a new approach using a non-thermal Tomonaga-Luttinger liquid to convert waste heat into electricity with higher efficiency than conventional approaches. These findings pave the way for more sustainable low-power electronics and quantum computing.

Energy harvesters, or devices that capture energy from environmental sources, have the potential to make electronics and industrial processes much more efficient. We are surrounded by waste heat, generated everywhere by computers, smartphones, , and factory equipment. Energy-harvesting technologies offer a way to recycle this lost energy into useful electricity, reducing our reliance on other power sources.

However, conventional energy-harvesting methods are constrained by the laws of thermodynamics. In systems that rely on , these laws impose fundamental caps on heat conversion efficiency, which describes the ratio of the generated electrical power and the extracted heat from the waste heat, for example, is known as the Carnot efficiency. Such thermodynamic limits, like the Curzon-Ahlborn efficiency, which is the heat conversion efficiency under the condition for obtaining the maximum electric power, have restricted the amount of useful power that can be extracted from waste heat.

Signal adds new cryptographic defense against quantum attacks

Signal announced the introduction of Sparse Post-Quantum Ratchet (SPQR), a new cryptographic component designed to withstand quantum computing threats.

SPQR will serve as an advanced mechanism that continuously updates the encryption keys used in conversations and discarding the old ones.

Signal is a cross-platform, end-to-end encrypted messaging and calling app managed by the non-profit Signal Foundation, with an estimated monthly active user base of up to 100 million.

Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation

To elicit VEPs, the eyelid corresponding to the stimulated retina was retracted temporarily while periodic 50 ms flashes were generated at 1 Hz from an array of white light-emitting diodes (LEDs). Neural response waveforms were temporally aligned to the stimulus onset. VEPs were calculated as the time-aligned averaged signals over 150 trials.

Electrical stimulation at the cortical surface was applied at one of the 200 µm electrodes, controlled by the Intan Technologies RHS controller and RHX software. Charge-balanced, biphasic, cathodic-first, 200 µs pulses of 100 µA peak current were delivered at 0.25 Hz. The evoked potentials were recorded over a series of trials. During analysis, for each trial and electrode, the Hjorth ‘activity’ of each trial was computed as the variance of the signal from 200 ms to 2,000 ms post-stimulation, and the average activity was taken over 40 trials.

A 1,024-channel array was placed over the sensorimotor cortex on each hemisphere following carefully sized bilateral craniectomies. Two Intan 1,024-channel RHD controllers were used to record from both arrays simultaneously.

Cracking a long-standing weakness in a classic algorithm for programming reconfigurable chips

Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that programs millions of reconfigurable chips used worldwide, a discovery that could reshape how future generations of these are designed and programmed.

Many industries, including telecoms, automotive, aerospace and rely on a special breed of chip called the Field-Programmable Gate Array (FPGA). Unlike traditional chips, FPGAs can be reconfigured almost endlessly, making them invaluable in fast-moving fields where designing a custom chip would take years and cost a fortune. But this flexibility comes with a catch: FPGA efficiency depends heavily on the software used to program them.

Since the late 1990s, an algorithm known as PathFinder has been the backbone of FPGA routing. Its job: connecting thousands of tiny circuit components without creating overlaps.

El Fin de Procesadores Clásicos — Chip NEUROMÓRFICO Explicado

💥💥💥 Linterna AceBeam K1 https://www.acebeam.com/k1-edc-flashlight-with-three-light-sources.

Códigos de tiempo:

0:00 — El Fin de Procesadores Clásicos – Chip NEUROMÓRFICO Explicado.
1:04 — ¿Qué Es un Procesador Neuromórfico?
2:56 — Ventajas de los Chips Neuromórficos.
5:44 — Procesadores Neuromórficos que Ya Existen.
7:51 — Limitaciones de los Procesadores Neuromórficos.

Designing random nanofiber networks, optimized for strength and toughness

In nature, random fiber networks such as some of the tissues in the human body, are strong and tough with the ability to hold together but also stretch a lot before they fail. Studying this structural randomness—that nature seems to replicate so effortlessly—is extremely difficult in the lab and is even more difficult to accurately reproduce in engineering applications.

Recently, researchers at The Grainger College of Engineering, University of Illinois Urbana-Champaign and the Rensselaer Polytechnic Institute devised a method to repeatedly print random polymer nanofiber networks with desired characteristics and use to tune the random network characteristics for improved strength and toughness.

“This is a big leap in understanding how nanofiber networks behave,” said Ioannis Chasiotis, a professor in the Department of Aerospace Engineering. “Now, for the first time, we can reproduce randomness with desirable underlying structural parameters in the lab, and with the companion computer model, we can optimize the to find the network parameters, such as nanofiber density, that produce simultaneously higher network strength, stiffness and toughness.”

Molecular qubits can communicate at telecom frequencies

A team of scientists from the University of Chicago, the University of California Berkeley, Argonne National Laboratory, and Lawrence Berkeley National Laboratory has developed molecular qubits that bridge the gap between light and magnetism—and operate at the same frequencies as telecommunications technology. The advance, published today in Science, establishes a promising new building block for scalable quantum technologies that can integrate seamlessly with existing fiber-optic networks.

Because the new molecular qubits can interact at telecom-band frequencies, the work points toward future quantum networks—sometimes called the “.” Such networks could enable ultra-secure communication channels, connect quantum computers across long distances, and distribute quantum sensors with unprecedented precision.

Molecular qubits could also serve as highly sensitive quantum sensors; their tiny size and chemical flexibility mean they could be embedded in unusual environments—such as —to measure magnetic fields, temperature, or pressure at the nanoscale. And because they are compatible with silicon photonics, these molecules could be integrated directly into chips, paving the way for compact quantum devices that could be used for computing, communication, or sensing.

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