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Category: computing

New diode chain could be used to develop high-power terahertz technologies

Electromagnetic waves with frequencies between microwave and infrared light, also known as terahertz radiation, are leveraged by many existing technologies, including various imaging tools and wireless communication systems. Despite their widespread use, generating strong and continuous terahertz signals using existing electronics is known to be challenging.

To reliably generate terahertz signals, engineers often rely on frequency multipliers, that can distort an , to generate an with a desired frequency. Some of these circuits are based on Schottky barrier diodes, devices in which the junction between a metal and semiconductor form a one-way electrical contact.

While some frequency multipliers based on Schottky barrier diodes have achieved promising results, devices based on individual diodes can only handle a limited amount of energy. To increase the energy they can manage, engineers can use several diodes arranged in a chain. However, even this approach can have its limitations, as the distribution of the electromagnetic field between the diodes in a chain often becomes uneven.

Neuronal hyperactivity and broader tuning linked to altered sound processing in autism model rats

People with autism spectrum disorders commonly have difficulty processing sensory information, which can make busy, bright or loud settings—such as schools, airports and restaurants—stressful or even painful. The neurological causes for altered sound processing are complex, and researchers are interested in better understanding them to make life better for people with autism.

In a study that combines behavioral tests, computer models and electrophysiological recordings of neuron activity, researchers have found that hyperactivity of neurons in the auditory cortex and the reaction of these neurons to an unusually broad range of frequencies contribute to this altered processing in rat models. The research is published in the journal PLOS Biology.

“One of the things we thought wasn’t being looked at enough was this idea of sensory discrimination: being able to distinguish between different features in our environment,” said Benjamin Auerbach, a professor of molecular and integrative physiology at the University of Illinois Urbana-Champaign.

After distractions, rotating brain waves may help thought circle back to the task

As sure as the brain is prone to distraction, it can also return its focus to the task at hand. A new study in animals by scientists at the Picower Institute for Learning and Memory of MIT shows how that seems to happen: Coordinated neural activity in the form of a rotating brain wave puts thought back on track.

“The rotating waves act like herders that steer the cortex back to the correct computational path,” said study senior author Earl K. Miller, Picower Professor in the Picower Institute and MIT’s Department of Brain and Cognitive Sciences.

Picower Institute postdoc Tamal Batabyal is the lead author of the study published in the Journal of Cognitive Neuroscience.

A Practitioner’s Guide to Kolmogorov-Arnold Networks

Kolmogorov-Arnold Networks (KANs) have recently emerged as a promising alternative to traditional Multilayer Perceptrons (MLPs), inspired by the Kolmogorov-Arnold representation theorem. Unlike MLPs, which use fixed activation functions on nodes, KANs employ learnable univariate basis functions on edges, offering enhanced expressivity and interpretability. This review provides a systematic and comprehensive overview of the rapidly expanding KAN landscape, moving beyond simple performance comparisons to offer a structured synthesis of theoretical foundations, architectural variants, and practical implementation strategies. By collecting and categorizing a vast array of open-source implementations, we map the vibrant ecosystem supporting KAN development. We begin by bridging the conceptual gap between KANs and MLPs, establishing their formal equivalence and highlighting the superior parameter efficiency of the KAN formulation. A central theme of our review is the critical role of the basis function; we survey a wide array of choices, including B-splines, Chebyshev and Jacobi polynomials, ReLU compositions, Gaussian RBFs, and Fourier series, and analyze their respective trade-offs in terms of smoothness, locality, and computational cost. We then categorize recent advancements into a clear roadmap, covering techniques for improving accuracy, efficiency, and regularization. Key topics include physics-informed loss design, adaptive sampling, domain decomposition, hybrid architectures, and specialized methods for handling discontinuities. Finally, we provide a practical “Choose-Your-KAN” guide to help practitioners select appropriate architectures, and we conclude by identifying current research gaps. The associated GitHub repository https://github.com/AmirNoori68/kan-review complements this paper and serves as a structured reference for ongoing KAN research.

A problem that takes quantum computers an unfathomable amount of time to solve

It’s a well-known fact that quantum calculations are difficult, but one would think that quantum computers would facilitate the process. In most cases, this is true.

Quantum bits, or qubits, use , like superposition and entanglement, to process many possibilities simultaneously. This allows for exponentially faster computing for complex problems. However, Thomas Schuster, of California Institute of Technology, and his research team have given quantum computers a problem that even they can’t solve in a reasonable amount of time—recognizing phases of matter of unknown quantum states.

The team’s research can be found in a paper published on the arXiv preprint server.

Homo Invocator

We live immersed in a persistent illusion: the idea that consciousness arises from the brain like the flame from a candle. Contemporary science, constrained by the very instruments it creates, proclaims that the mind is merely the result of electrical impulses and chemical reactions — an epiphenomenon of flesh.

Yet a deeper look — one that doesn’t reject science but rather transcends it — reveals a more radical reality: we, living beings, are not the origin of consciousness, but rather its antenna.

We are hardware. Bodies shaped by millions of years of biological evolution, a complex architecture of atoms and molecules organized into a fractal of systems. But this hardware, no matter how sophisticated, is nothing more than a receptacle, a stage, an antenna. What truly moves, creates, and inspires does not reside here, within this tangible three-dimensional realm; it resides in an unlimited field, a divine matrix where everything already exists. Our mind, far from being an original creator, is a channel, a receiver, an interpreter.

The great question of our time — and perhaps of all human history — is this: how can we update the software running on this biological hardware without the hardware itself becoming obsolete? Herein lies the fundamental paradox: we can dream of enlightenment, wisdom, and transcendence, yet if the body does not keep pace — if the physical circuits cannot support the flow — the connection breaks, the signal distorts, and the promise of spiritual evolution stalls.

The human body, a product of Darwinian evolution’s slow dance, is both marvel and prison. Our eyes capture only a minuscule fraction of the electromagnetic spectrum; our ears are limited to a narrow range of frequencies; our brains filter out and discard 99% of the information surrounding us. Human hardware was optimized for survival — not for truth!

This is the first major limitation: if we are receivers of a greater reality, our apparatus is radically constrained. It’s like trying to capture a cosmic symphony with an old radio that only picks up static. We may glimpse flashes — a sudden intuition, an epiphany, a mystical experience — but the signal is almost always imperfect.

Thus, every spiritual tradition in human history — from shamans to mystery schools, from Buddhism to Christian mysticism — has sought ways to expand or “hack” this hardware: fasting, meditation, chanting, ecstatic dance, entheogens. These are, in fact, attempts to temporarily reconfigure the biological antenna to tune into higher frequencies. Yet we remain limited: the body deteriorates, falls ill, ages, and dies.

If the body is hardware, then the mind — or rather, the set of informational patterns running through it — is software: human software (and a limited one at that). This software isn’t born with us; it’s installed through culture, language, education, and experience. We grow up running inherited programs, archaic operating systems that dictate beliefs, prejudices, and identities.

Beneath this cultural software, however, lies a deeper code: access to an unlimited field of possibilities. This field — call it God, Source, Cosmic Consciousness, the Akashic Records, it doesn’t matter — contains everything: all ideas, all equations, all music, all works of art, all solutions to problems not yet conceived. We don’t invent anything; we merely download it.

Great geniuses throughout history — from Nikola Tesla to Mozart, from Leonardo da Vinci to Fernando Pessoa — have testified to this mystery: ideas “came” from outside, as if whispered by an external intelligence. Human software, then, is the interface between biological hardware and this divine ocean. But here lies the crucial question: what good is access to supreme software if the hardware lacks the capacity to run it?

An old computer might receive the latest operating system, but only if its minimum specifications allow it. Otherwise, it crashes, overheats, or freezes. The same happens to us: we may aspire to elevated states of consciousness, but without a prepared body, the system fails. That’s why so many mystical experiences lead to madness or physical collapse.

Thus, we arrive at the heart of the paradox. If the hardware doesn’t evolve, even the most advanced software download is useless. But if the software isn’t updated, the hardware remains a purposeless machine — a biological robot succumbing to entropy.

Contemporary society reflects this tension. On one hand, biotechnology, nanotechnology, and regenerative medicine promise to expand our hardware: stronger, more resilient, longer-lived bodies. On the other, the cultural software governing us remains archaic: nationalism, tribalism, dogma, consumerism. It’s like installing a spacecraft engine onto an ox-drawn cart.

At the opposite end of the spectrum, we find the spiritual movement, which insists on updating the software — through meditation, energy therapies, expanded states of consciousness — but often neglects the hardware. Weakened, neglected bodies, fed with toxins, become incapable of sustaining the frequency they aim to channel. The result is a fragile, disembodied spirituality — out of sync with matter.

Humanity’s challenge in the 21st century and beyond is not to choose between hardware and software, but to unify them. Living longer is meaningless if the mind remains trapped in limiting programs. Aspiring to enlightenment is futile if the body collapses under the intensity of that light.

It’s essential to emphasize: the power does not reside in us (though, truthfully, it does — if we so choose). This isn’t a doctrine of self-deification, but of radical humility. We are merely antennas. True power lies beyond the physical reality we know, in a plane where everything already exists — a divine, unlimited power from which Life itself emerges.

Our role is simple yet grand: to invoke. We don’t create from nothing; we reveal what already is. We don’t invent; we translate. A work of art, a mathematical formula, an act of compassion — all are downloads from a greater source.

Herein lies the beauty: this field is democratic. It belongs to no religion, no elite, no dogma. It’s available to everyone, always, at any moment. The only difference lies in the hardware’s capacity to receive it and the (human) software that interprets it.

But there are dangers. If the hardware is weak or the software corrupted, the divine signal arrives distorted. This is what we see in false prophets, tyrants, and fanatics: they receive fragments of the field, but their mental filters — laden with fear, ego, and the desire for power — twist the message. Instead of compassion, violence emerges; instead of unity, division; instead of wisdom, dogma.

Therefore, conscious evolution demands both purification of the software (clearing toxic beliefs and hate-based programming) and strengthening of the hardware (healthy bodies, resilient nervous systems). Only then can the divine frequency manifest clearly.

If we embrace this vision, humanity’s future will be neither purely biological nor purely spiritual — it will be the fusion of both. The humans of the future won’t merely be smarter or longer-lived; they’ll be more attuned. A Homo Invocator: the one who consciously invokes the divine field and translates it into matter, culture, science, and art.

The initial paradox remains: hardware without software is useless; software without hardware is impossible. But the resolution isn’t in choosing one over the other — it’s in integration. The future belongs to those who understand that we are antennas of a greater power, receivers of an infinite Source, and who accept the task of refining both body and mind to become pure channels of that reality.

If we succeed, perhaps one day we’ll look back and realize that humanity’s destiny was never to conquer Earth or colonize Mars — but to become a conscious vehicle for the divine within the physical world.

And on that day, we’ll understand that we are neither merely hardware nor merely software. We are the bridge.

Deep down, aren’t we just drifting objects after all?
The question is rhetorical, for I don’t believe any of us humans holds the answer.

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Copyright © 2025, Henrique Jorge (ETER9)

Image by Gerd Altmann from Pixabay

[ This article was originally published in Portuguese in Link to Leaders at: https://linktoleaders.com/o-ser-como-interface-henrique-jorge-eter9/]

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction with discrete binary values (i.e., 0 or 1), like digital computers.

While computing systems can perform well on general-purpose tasks, they are known to be susceptible to noise (i.e., background or external interferences) and less precise than .

Researchers at Peking University and the Beijing Advanced Innovation Center for Integrated Circuits have developed a scalable analog computing device that can solve so-called matrix equations with remarkable precision. This new system, introduced in a paper published in Nature Electronics, was built using tiny non-volatile memory devices known as resistive random-access memory (RRAM) chips.

Computationally accelerated organic synthesis: Optimal ligand prediction for generating reactive alkyl ketone radicals

Because ketones are widespread in organic molecules, chemists are eager to develop new reactions that use them to form chemical bonds. One challenging reaction is the one-electron reduction of ketones to generate ketyl radicals.

Ketyl radicals are reactive intermediates used in natural product synthesis and pharmaceutical chemistry; however, most methodologies are optimized for aryl while simple alkyl ketones remain challenging for chemists. Alkyl ketones are considerably more abundant but intrinsically more difficult to reduce than aryl ketones.

To this end, a team of specialized organic chemists and computational chemists from WPI-ICReDD at Hokkaido University has developed a new catalytic method for generating alkyl ketyl radicals.

Scientists create new type of semiconductor that holds superconducting promise

Scientists have long sought to make semiconductors—vital components in computer chips and solar cells—that are also superconducting, thereby enhancing their speed and energy efficiency and enabling new quantum technologies. However, achieving superconductivity in semiconductor materials such as silicon and germanium has proved challenging due to difficulty in maintaining an optimal atomic structure with the desired conduction behavior.

In a paper published in the journal Nature Nanotechnology, an international team of scientists reports producing a form of that is superconducting—able to conduct electricity with , which allows currents to flow indefinitely without , resulting in greater operational speed that requires less energy.

“Establishing superconductivity in germanium, which is already widely used in computer chips and , can potentially revolutionize scores of consumer products and industrial technologies,” says New York University physicist Javad Shabani, director of NYU’s Center of Quantum Information Physics and the university’s newly established Quantum Institute, one of the paper’s authors.

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