Showing posts with label reservoir computing. Show all posts
Showing posts with label reservoir computing. Show all posts

Wednesday, June 24, 2026

But Can It Run Doom


AKA Everything, and I Mean Everything Is a Computer

Can it run Doom is the modern day equivalent of Can I Eat It, or its salacious step-sibling Can I Fuck It, but like for robots not for people. 

I was thinking maybe a way to explain is like this - what if you could make a 1998 Ford Taurus run Doom? Like, I don't know, the engine of the car itself, or some combination of engine and wheels or fan belt and air conditioning compressor, they somehow generate enough information to be used for computation, and we use that computation to run a computer game. And if that works, what if sunlight could run Doom?

That's what this is all about - the idea of a computer as having a microprocessor for a brain, or a  little green circuitboard, it's outdated. We aren't even using brains anymore (nope).

Anything that generates information can be a computer. That's it. Maybe another way of saying it is that anything that does anything can be a computer. "Heat rises" (computer). "Water flows downhill" (computer). *Exists* (computer). Traffic. Traffic computes for fs sake. Santa Fe Institute even had to make a new definition, so let's start with that:


What does it mean to compute? Framework maps hidden computations running inside natural dynamic systems
Feb 2026, phys.org

Compute (noun), that's it; simple - not reservoir or analog computing, just "compute" - also SFI:

"The issue is how to define, formally, a set of criteria for identifying what computation(s) a given, arbitrary dynamical system does, in order to give us insights into these computational systems found in nature" 

They want to discriminate between "constructed" computers, which would include those found in phones and laptops, and those that are "non-constructed," natural systems that carry out computations but remain poorly understood. For example, a network of chemical reactions can be seen as a kind of non-constructed computer. The input to this system is the initial concentration of chemical reactants. The output is the concentration of the chemicals after the reaction stops. 

via Santa Fe Institute and Complexity Science Hub in Vienna: David H Wolpert et al, What does it mean for a system to compute?, Journal of Physics: Complexity (2026). DOI: 10.1088/2632-072x/ae3af8



New digital state of matter could help build stable quantum computers
Dec 2025, phys.org

The Zuchongzhi 2.0 superconducting quantum processor was used to construct an exotic nonequilibrium topological material and test its protective properties.

Digital matter they call it. And who says this is a big deal like that? Paul Arnold for phys.org that's who - 

"The work is a big deal because it shows that quantum computers can be used as reliable simulators to discover and test new stable forms of matter."

via University of Science and Technology of China: Haoran Qian et al, Programmable higher-order nonequilibrium topological phases on a superconducting quantum processor, Science (2025). DOI: 10.1126/science.adp6802


Active thermal metasurfaces amplify heat signatures by a factor of nine
Dec 2025, phys.org

This shell allowed the tiny object to fake the thermal signatures of an object nine times larger than itself.

via Taiyuan University of Technology: Yichao Liu et al, Active Thermal Metasurfaces Enable Superscattering of Thermal Signatures Across Arbitrary Shapes and Thermal Conductivities, Advanced Science (2025). DOI: 10.1002/advs.202519386


Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
Jan 2026, phys.org

The flow and distribution of heat through a specially designed material forms the basis of the calculation. Then the output is represented by the power collected at the other end, which is a thermostat at a fixed temperature.

"Most of the time, when you are performing computations in an electronic device, heat is the waste product. But here, we've taken the opposite approach by using heat as a form of information itself."

(This is a form of analog computing, in which data are encoded and signals are processed using continuous values, rather than digital bits that are either 0s or 1s.)

via MIT's Institute for Soldier Nanotechnologies: Caio Silva et al, Thermal analog computing: Application to matrix-vector multiplication with inverse-designed metastructures, Physical Review Applied (2025). DOI: 10.1103/5drp-hrx1.


Turning city traffic into a computer: Novel approach to AI could slash energy demands
Jan 2026, phys.org

"What if traffic could compute?"

This is called Harvested Reservoir Computing, and more specifically, Road Traffic Reservoir Computing: Prediction accuracy is not highest under free-flow or heavily congested conditions. Instead, it peaks just before congestion begins, at a critical, medium-density state where traffic dynamics are most diverse and informative. In this regime, the traffic system naturally processes incoming information, allowing accurate forecasts of future traffic states with minimal computational overhead.

The study suggests that social infrastructure such as roads can be reinterpreted as "large-scale, continuously operating computers."

"Computation does not have to be confined to silicon chips" (Makes you wonder why someone would want to build a billion dollar data center)

via Tohoku University Advanced Institute for Materials Research: Ryunosuke Fukuzaki et al, Harvested reservoir computing from road traffic dynamics, Scientific Reports (2025). DOI: 10.1038/s41598-025-30016-2

Georgia Institute of Technology Low-cost Passive Ultrasound Tags for Non-invasive and Non-Intrusive Smart Home Sensing

These penny-size ultrasonic tags ditch batteries and silently turn everyday objects into private smart home trackers
Apr 2026, phys.org

Activity Recognition: It's based on a flat washer with various cutouts along the outer edge to determines the frequency of the sound it makes when hit. They are small metal tags mounted on a cabinet or doorframe that signal when a door or drawer is opened, count reps in the gym, or even track bathroom use for elderly relatives. When a door is opened, etc., the tab strikes the metal disk, triggering a brief ultrasonic pulse imperceptible to human ears but detectable by a wearable device that logs the activity. They're battery-free, quiet, inherently private, and cost only a few cents each. 
 
They did not use any complicated machine learning algorithms to detect the ultrasound signatures. Instead, they created an algorithm with simple, hard-coded rules. That approach means identifying signals requires little computational and electrical power.

"Hard coded" rules, that's another way of saying this. Or, "This has really been a collaboration between computing and engineering."

Georgia Institute of Technology: Yibo Fu et al, SoundOff: Low-cost Passive Ultrasound Tags for Non-invasive and Non-Intrusive Smart Home Sensing, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2025).


Light-based Ising computer runs at room temperature and stays stable for hours
Feb 2026, phys.org

So Ising machine is another way to say photonic computer AND reservoir computing?

It's a powerful new kind of computing machine that uses light; the Ising model represents problems as interacting magnets with "spins" that point up or down and align when brought closer, the Ising searches for the lowest-energy state (optimization problem); simple yet powerful for solving problems with many interconnected binary (up/down or yes/no) choices.

Works at room temp.

via Queen's University Canada: Nayem Al-Kayed et al, Programmable 200 GOPS Hopfield-inspired photonic Ising machine, Nature (2025). DOI: 10.1038/s41586-025-09838-7


Quantum reservoir computing peaks at the edge of many-body chaos, study suggests
Feb 2026, phys.org

In recent years, some physicists and quantum engineers have been exploring the possibility of realizing a quantum equivalent of classical reservoir computing, known as quantum reservoir computing (QRC). These approaches enable the processing of temporal data. Reservoir computing systems perform best close to the boundary between stable and chaotic dynamics (i.e., the edge of chaos).

These scientists are looking for 'the edge' of many-body quantum chaos. 

via University of Tokyo: Kaito Kobayashi et al, Edge of Many-Body Quantum Chaos in Quantum Reservoir Computing, Physical Review Letters (2026). DOI: 10.1103/j2qj-vwcl. On arXiv: DOI: 10.48550/arxiv.2506.17547


Mechanical computers use springs and bolts to count, sort odd-even pushes and remember force
Apr 2026. phys.org

They are calling them simply "Mechanical Computers"

Many everyday materials retain some kind of memory of their past—for example, rubber can 'remember' how far it has been squeezed or stretched in the past. ... The research team used common materials, such as steel springs and bars, to create three mechanical computers. The first could count how many times it was pulled back and forth. A second distinguishes whether it has been pushed an odd or even number of times. The third can remember if a medium or large amount of force was applied.

Key findings from the research include:

  • Mechanical computers can perform simple computations without a computer chip or power source.
  • Mechanical computers are able to harvest their power from physical force, rather than electricity.
  • Proof of design that mechanical computers could be a viable alternative to conventional computers in harsh settings - such as extreme temperatures or exposure to corrosive chemicals - when only simple computations are needed.

via St. Olaf College and Syracuse University: Joseph D. Paulsen, Mechanical hysterons with tunable interactions of general sign, Nature Communications (2026). DOI: 10.1038/s41467-026-70913-2


Post Script
LEGO® SMART Play™ System - Official LEGO® Shop US

"Everything will be a computer" has now hit the shelves (circa Jan 2026). Granted this is not what we're seeing in the 'ubiquitous computing' scene, but it's what it represents, because it's a consumer product application of the idea, and you can't get more widespread average person consumer adoption than a LEGO brick. 

Thursday, June 4, 2026

Brain Free Mind Control Turned Me Into Two Different People


Every day that neural probe gets a little smaller, and a little deeper. In fact, we're not even using probes anymore, we're just shooting you through the head with lasers. Blood-brain barrier? 20th century. Actually, we're not even using brains anymore, because brains are insecure, too much attack surface. 

Holographic optogenetics could enable faster brain mapping for new discoveries
Oct 2025, phys.org

Optogenetics is cool but have you tried holographic optogenetics?
 
via Columbia University, UC Berkeley, and the Vision Institute Wavefront Engineering Microscopy team of Sorbonne University: Marcus A. Triplett et al, Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing, Nature Neuroscience (2025). DOI: 10.1038/s41593-025-02053-7.

Also: I-Wen Chen et al, High-throughput synaptic connectivity mapping using in vivo two-photon holographic optogenetics and compressive sensing, Nature Neuroscience (2025). DOI: 10.1038/s41593-025-02024-y.



Neural implant smaller than a grain of salt can wirelessly track brain
Nov 2025, phys.org

MOTE - microscale optoelectronic tetherless electrode, a small scale, neural monitor and bio-integrated sensor, powered by red and infrared laser beams that pass harmlessly through brain tissue, and using a semiconductor diode made of aluminum gallium arsenide 

via Cornell Nanyang Technological University: Sunwoo Lee et al, A subnanolitre tetherless optoelectronic microsystem for chronic neural recording in awake mice, Nature Electronics (2025). DOI: 10.1038/s41928-025-01484-1


'Brain-free' robots that move in sync are powered entirely by air
Nov 2025, phys.org

Brain-free is another way to say it. They also call them "fluidic robots", and also embodied intelligence. 

A major goal in soft robotics is to encode behavior and decision-making directly into the robot's physical structure. 

They devised a single module that can do all three of these things: actuate in response to air pressure like a muscle, sense pressure change, and switch air flow between on and off like a logic gate. 

"This spontaneous coordination requires no predetermined instructions but arises purely from the way the units are coupled to each other and upon their interaction with the environment."

"Encoding decision-making and behavior directly into the robot's physical structure could lead to adaptive, responsive machines that don't need software to 'think.' It is a shift from 'robots with brains' to 'robots that are their own brains.' That makes them faster, more efficient, and potentially better at interacting with unpredictable environments."

via University of Oxford RADLab: Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors, Advanced Materials (2025). DOI: 10.1002/adma.202510298.


Bioluminescent tool captures neural activity without external lasers
Dec 2025, phys.org

The team described a bioluminescence tool it recently developed, called the Ca2+ BioLuminescence Activity Monitor - or "CaBLAM," for short.

"You can make that process calcium-sensitive so you can get proteins that will shift back a different amount or different color of light, depending on whether or not calcium is present, with a bright signal."

via Bioluminescence Hub at Brown University Carney Institute for Brain Science: Gerard G. Lambert et al, CaBLAM: a high-contrast bioluminescent Ca2+ indicator derived from an engineered Oplophorus gracilirostris luciferase, Nature Methods (2025). DOI: 10.1038/s41592-025-02972-0


Brain computer interface enables rapid communication for two people with paralysis
Mar 2026, phys.org

This was always the way it was going to happen - they aren't choosing one letter at a time with an eye-tracker, they're imagining typing with their fingers, and the corresponding motor cortex spits signals recorded by the brain implant: 

"BrainGate" - Microelectrode sensors are placed in the motor cortex, a part of the brain that controls movement. Next, a QWERTY keyboard is displayed in front of the participant, with each letter mapped onto fingers and finger positions—up, down, or curled. As the participant intuitively attempts these finger movements, the electrodes sense the brain's electrical activity, then send a signal to a computer system that can translate the neural activity into letters. This output is then processed through a final predictive language model to ensure a cohesive, accurate communication result.

via Mass General Brigham Neuroscience Institute and Brown University: Justin J. Jude, Restoring rapid natural bimanual typing with a neuroprosthesis after paralysis, Nature Neuroscience (2026). DOI: 10.1038/s41593-026-02218-y. 


Sunday, December 14, 2025

Compubiquity and Alternative Intelligence


You think you're taking crazy pills, but it's just science doing its thing. Reality is not partial to computers; computing on the other hand...

Researchers build next-gen swarm robots using simple linked particles
May 2025, phys.org

The research team created a new type of robot inspired by this phenomenon, known as "emergent collective behavior." Their solution, called the link-bot, connects small self-moving particles in a V-shaped chain formation that naturally gives rise to coordinated, lifelike movement - without any embedded intelligence.

via Seoul National University: Kyungmin Son et al, Emergent functional dynamics of link-bots, Science Advances (2025). DOI: 10.1126/sciadv.adu8326.



Synthetic molecules encode and decode 11-character password using electrical signals
May 2025, phys.org

"This is the first attempt to write information in a building block of plastic that can then be read back using electrical signals"

They designed molecules that contain electrochemical information, a method that allows messages to be decoded using electrical signals.

"It opens exciting prospects for interfacing chemical encoding with modern electronic systems and devices."

"polymer-based data storage"

via University of Texas at Austin: Electrochemical Sequencing of Sequence-Defined Ferrocene-Containing Oligourethanes, Chem (2025). DOI: 10.1016/j.chempr.2025.102571


Low-power 'microwave brain' on a chip computes on both ultrafast data and wireless signals
Aug 2025, phys.org

Unlike traditional neural networks that rely on digital operations and step-by-step instructions timed by a clock, this network uses analog, nonlinear behavior in the microwave regime, allowing it to handle data streams in the tens of gigahertz - much faster than most digital chips.

via Cornell University: An integrated microwave neural network for broadband computation and communication, Nature Electronics (2025). DOI: 10.1038/s41928-025-01422-1


'Singing' electrons synchronize in Kagome crystals, revealing geometry-driven quantum coherence
Oct 2025, phys.org

After sculpting micrometer crystalline pillars into Kagome metal CsV₃Sb₅, then applying magnetic fields, the electrons remained coherent far beyond what single-particle physics would allow.

Even more surprisingly, the oscillations depended on the crystal's geometry.

via Max Planck Institute for the Structure and Dynamics of Matter: Chunyu Guo et al, Many-body interference in kagome crystals, Nature (2025). DOI: 10.1038/s41586-025-09659-8


Programming robots with rubber bands
Oct 2025, phys.org

Here's another way of saying it:

There's another way to design robots: Programming intended functions directly into a robot's physical structure, allowing the robot to react to its surroundings without the need for extensive on-board electronics.

Or this:

"This is kind of an extreme version of 'form follows function,' where functionalities like memory, adaptability and intelligence can be enabled by geometry and material parameters."

via Harvard: Leon M. Kamp et al, Reprogrammable sequencing for physically intelligent underactuated robots, Proceedings of the National Academy of Sciences (2025). DOI: 10.1073/pnas.2508310122

Monday, March 31, 2025

Does It Compute


AKA All Computers All the Time

Right now a computer is a box that sits on your desk. It's plugged in. Maybe it's a little box, one you keep in your pocket. That one's not plugged in, but it does need power. Soon, the computer will not be a thing. Instead, all things will be a computer. Maybe it's better to say that all things will compute. And like instead of saying 'there's an app for that' we might hear instead 'does it compute'? Like, "Can you pass me the paper towel?" "Does it compute?" Or, "Hey I just got a new haircut." "But does it compute?" 

First - The Fiber Computer:

Fiber computer allows apparel to run apps and 'understand' the wearer
Feb 2025, phys.org

It's an autonomous programmable computer in the form of an elastic fiber.

The fiber computer contains a series of microdevices, including sensors, a microcontroller, digital memory, Bluetooth modules, optical communications, and a battery, making up all the necessary components of a computer in a single elastic fiber.

"Our bodies broadcast gigabytes of data through the skin every second in the form of heat, sound, biochemicals, electrical potentials, and light, all of which carry information about our activities, emotions, and health. Unfortunately, most, if not all, of it gets absorbed and then lost in the clothes we wear."

via MIT, RISD, Brown, Stanford, Soldier Nanotechnologies: Yoel Fink, A single-fibre computer enables textile networks and distributed inference, Nature (2025). DOI: 10.1038/s41586-024-08568-6. 



Materials can remember a sequence of events in an unexpected way
Jan 202,5 phys.org

Material memory is like wrinkles on a crumpled piece of paper. These memories are stored in disordered solids in which the arrangement of particles seems random but actually contains details about past deformations. Materials should not be able to form return-point memory when the force only occurs in one direction. For example, a bridge might sag slightly as cars drive over it, but it doesn't curve upwards once the cars are gone.

The researchers boiled down the components of the system—such as the particles in a solid or the microscopic domains in a magnet—into abstract elements called hysterons. "Hysterons are elements of a system that may not immediately respond to external conditions, and can stay in a past state."

The hysterons in the model interact either in a cooperative way, where a change in one encourages a change in the other, or in a non-cooperative "frustrated" way, where a change in one discourages a change in the other. Frustrated hysterons are the key to forming and recovering a sequence in a system with asymmetric driving.

"We think this is a way to design artificial systems with this special kind of memory, starting with the simplest mechanical systems not much more complicated than a bendy straw, and hopefully working up to something like an asymmetrical combination lock."

via Penn State: Chloe Lindeman et al, Generalizing multiple memories from a single drive: The hysteron latch, Science Advances (2025). DOI: 10.1126/sciadv.adr5933


Soap's maze-solving skills could unlock secrets of the human body
Jan 2025, phys.org

"Surfactants—the molecules found in soap—can naturally find its way through a maze"

We're talking about things acting like people. Imagine discovering that chairs can figure out how to best position themselves in a theater. Or the straps on your backpack can figure out the best length for positioning the pack on your back depending on the weight and the way you walk etc. Your pencil can figure out how to write a better sentence for convincing your roommate to do the dishes. I'm just trying to imagine what this all means.  

"When we put soap into a liquid filled maze, the natural surfactants already present in the liquid interact, creating an omniscient view of the maze, so the soap can intuitively find the correct path, ignoring all other irrelevant paths. This behavior occurs due to very subtle but powerful physics where the two types of surfactants generate tension forces that guide the soap to the exit."

Yes, they called soap bubbles omniscient. 

via Department of Mathematics at the University of Manchester: Richard Mcnair et al, Exogenous–Endogenous Surfactant Interaction Yields Heterogeneous Spreading in Complex Branching Networks, Physical Review Letters (2025). DOI: 10.1103/PhysRevLett.134.034001

Friday, January 10, 2025

Everything is Everywhere All of the Sudden


I usually don't post artist renderings like this, but this is what I see when imagining everything made of computers, using ambient energy like light to control different particles each designed to take it and do different things with it but all in one jumble of matter, like an intelligent matter: Above image: An artistic depiction of a wavelength-multiplexed diffractive optical processor for 3D quantitative phase imaging. Credit: UCLA Engineering Institute for Technology Advancement [link]

On what could be called "ubiquitous computing", a legend of artificial intelligence (Hinton) describes it really well:
(What's next in computing?) My last years at Google I was thinking about analog computing ... run these big language models in analog hardware ... if you're gonna use that low power analog computation, every piece of hardware is gonna be a bit different. And the idea is that the learning is gonna make use of the specific properties of that hardware.
--Geoffrey Hinton interview, "On Working w Ilya, Choosing Problems, and the Power of Intuition", July 2024 30min?

Researchers use 'smart' rubber structures to carry out computational tasks
May 2024, phys.org

"We now know how to design simple materials so they can process information."

The research team created a rubber computer that can act as a two-bit binary counter using slender rubber elements as mechanical bits, and assembling multiple bits together in a metamaterial.

Note: The title of their demonstration video is "Can Rubber Compute?" and I now see it all as a series of experiments like the Will It Blend series, where they just do it to everything - can crystals compute? (Yes, we already know that) Can light compute? (Yes we already know that too) Can slime mold compute? But can salt compute? (Actually yes, like in a gradient of fresh water and salt water, but I was talking about a pile of table salt.) Can my sneakers compute? (I mean obviously) Can my front door compute? (Also obvious, its whole thing is to open and close like 1/0) I'm not talking about a computer screwed on top of my doorknob, I mean the door itself, the whole thing, is a computer, just by the way its materials are put together.  The garbage can? Definitely garbage cans will compute. 

via Leiden University and AMOLF: Jingran Liu et al, Controlled pathways and sequential information processing in serially coupled mechanical hysterons, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2308414121


Using DNA origami, researchers create diamond lattice for future semiconductors of visible light
May 2024, phys.org

With headlines like that, there is no further explanation. 

via Ludwig Maximilian University of Munich: Gregor Posnjak et al, Diamond-lattice photonic crystals assembled from DNA origami, Science (2024). DOI: 10.1126/science.adl2733

Also: Hao Liu et al, Inverse design of a pyrochlore lattice of DNA origami through model-driven experiments, Science (2024). DOI: 10.1126/science.adl5549


Mechanical computer relies on kirigami cubes, not electronics
Jun 2024, phys.org

It's a mechanical computer, one that doesn't use electronics. Is that all we need to call it? A mechanical computer?

Historically, these mechanical components have been things like levers or gears. But cubes can have five or more different states. Theoretically, that means a given cube can convey not only a 1 or a 0, but also a 2, 3 or 4.

When any of the cubes are pushed up or down, this changes the geometry—or architecture—of all of the connected cubes. This can be done by pushing up or down on one of the cubes with a magnetic field. These 64-cube functional units can be grouped together into increasingly complex metastructures that allow for storing more data or for conducting more complex computations.

The cubes are connected by thin strips of elastic tape. To edit data, you have to change the configuration of functional units. That requires users to pull on the edges of the metastructure, which stretches the elastic tape and allows you to push cubes up or down. When you release the metastructure, the tape contracts, locking the cubes—and the data—in place.

"One potential application for this is that it allows for users to create three-dimensional, mechanical encryption or decryption"

via North Carolina State University: Yanbin Li et al, Reprogrammable and reconfigurable mechanical computing metastructures with stable and high-density memory, Science Advances (2024). DOI: 10.1126/sciadv.ado6476 , www.science.org/doi/10.1126/sciadv.ado6476


New material paves the way to on-chip energy harvesting
Jul 2024, phys.org

They utilize the waste heat generated during operation and convert it back into electrical energy, called "on-chip energy harvesting", and it works because they put tin in the germanium (Ge+Sn). 

via Forschungszentrum Jülich and IHP—Leibniz Institute for High Performance Microelectronics in Germany, University of Pisa, University of Bologna, University of Leeds: Omar Concepción et al, Room Temperature Lattice Thermal Conductivity of GeSn Alloys, ACS Applied Energy Materials (2024). DOI: 10.1021/acsaem.4c00275


A first physical system to learn nonlinear tasks without a traditional computer processor
Jul 2024, phys.org

They made a contrastive local learning network where components evolve on their own based on local rules without knowledge of the larger structure, similar to how neurons in the human brain don't know what other neurons are doing and yet learning emerges.

"It can learn, in a machine learning sense, to perform useful tasks, similar to a computational neural network, but it is a physical object."

(Physical object, that's the key)

"Because the way that it both calculates and learns is based on physics, it's way more interpretable. You can actually figure out what it's trying to do because you have a good handle on the underlying mechanism. That's kind of unique because a lot of other learning systems are black boxes where it's much harder to know why the network did what it did.

via University of Pennsylvania: Sam Dillavou et al, Machine learning without a processor: Emergent learning in a nonlinear analog network, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2319718121

The optical era of science reporting where every picture has rainbows in it: Artistic depiction of diffractive information processing - Ozcan Lab at UCLA - Jul 2024

Scientists demonstrate chemical reservoir computation using the formose reaction
Jul 2024, phys.org

Good explanation by the writeup author here, Tejasri Gururaj: The field of molecular computing interests researchers who wish to harness the computational power of chemical and biological systems. In these systems, the chemical reactions or molecular processes act as the reservoir computer, transforming inputs into high-dimensional outputs. ...

The formose reaction is the only example of a self-organizing reaction network with a highly non-linear topology, containing numerous positive and negative feedback loops.

The researchers used a continuous stirred tank reactor (CSTR) to implement the formose reaction. The input concentrations of four reactants—formaldehyde, dihydroxyacetone, sodium hydroxide, and calcium chloride—are controlled to modulate the reaction network's behavior.

The output molecule is identified using a mass spectrometer, which allows them to track up to 106 molecules. 

This setup can be used to do calculations, with the reactant concentrations being the input value to any function that needs to be computed.

The team showed that it could predict the behavior of a complex metabolic network model of E. coli, accurately capturing both linear and nonlinear responses to fluctuating inputs across various concentration ranges.

Furthermore, the system demonstrated the ability to forecast future states of a chaotic system (the Lorenz attractor), accurately predicting two out of three input dimensions several hours into the future.

via Institute for Molecules and Materials at Radboud University: Mathieu G. Baltussen et al, Chemical reservoir computation in a self-organizing reaction network, Nature (2024). DOI: 10.1038/s41586-024-07567-x

Friday, September 27, 2024

Digital Winning


They say digital twins are the future. At first we were talking about making models of industrial or fabrication processes, so that we can study the model in a way we can't study the real thing. And that's still happening, and will continue to happen until we have an entire Earth that's a replica of the original (which we're already making by the way), but now we've got digital twins of people. 

Digital twins of people are already out there for medical purposes, so they can run a chemotherapy treatment on your simulation, to know in advance if it will work. But now we're talking about real time digital twins based not on your genetics or your phenotype, but on your behavior and the way you talk. They will be trained on you, all of you, the way the models are now trained on the entire Internet's worth of data. And so now is the time for you to start thinking about what that insurance policy will look like and which one will be right for you. Wouldn't want anyone breaching that dataset now would you?

Digital twin helps optimize manufacturing speed while satisfying quality constraints
May 2024, phys.org

The algorithm achieved that goal, with an experimental test of the method reducing the cycle time by 38% for a 3-axis desktop CNC machine tool and by 17% for a desktop 3D printer.

The researchers developed the method using a digital twin, a virtual model that mimics the behavior of a real system, based on the physics of the machine and data collected in real-time from sensors.

via University of Michigan College of Engineering: Heejin Kim et al, Intelligent Feedrate Optimization Using an Uncertainty-Aware Digital Twin Within a Model Predictive Control Framework, IEEE Access (2024). DOI: 10.1109/ACCESS.2024.3384471



Controlling chaos using edge computing hardware: Digital twin models promise advances in computing
May 2024, phys.org

Digital twins meets reservoir computing - I'm having a hard time figuring out what's going on here, but it sounds like you can reduce the compute of a system controller by creating a digital twin of the system, and computing on it (machine-learning-it) using this new chip, which is some kind of reservoir computer. But they created the model for using such a chip, not the chip itself?

via Ohio State University: Robert M. Kent et al, Controlling chaos using edge computing hardware, Nature Communications (2024). DOI: 10.1038/s41467-024-48133-3


Zoom CEO envisions AI deepfakes attending meetings in your place
May 2024, Ars Technica

Now we need to distinguish between digital twins for industry, like models of fabrication processes etc, and digital twins for people, like ... digital twins for people:

Instead of relying on a generic LLM to impersonate you, in the future, people will train custom LLMs to simulate each person.

"Sometimes I want to join, so I join. If I do not want to join, I can send a digital twin to join. That’s the future."

The future.


Researchers create 'digital babies' to improve infant health care
Jun 2024, phys.org

The team created 360 advanced computer models that simulate the unique metabolic processes of each baby. The digital babies are the first sex-specific computational whole-body models representing newborn and infant metabolism with 26 organs, six cell types, and more than 80,000 metabolic reactions.

via University of Galway's Digital Metabolic Twin Centre and Heidelberg University: Elaine Zaunseder et al, Personalized metabolic whole-body models for newborns and infants predict growth and biomarkers of inherited metabolic diseases, Cell Metabolism (2024). DOI: 10.1016/j.cmet.2024.05.006


Future-self chatbot gives users a glimpse of the life ahead of them
Jun 2024, phys.org

Allows users to chat with a potential version of their future selves.

The research team found mostly positive results—most users reported feeling more optimistic about their future and more connected to their future selves. And one of the researchers, after a session with the new bot, found himself more aware of the limited amount of time he would have with his parents and began to spend more time with them.

via MIT and KASIKORN Labs in Thailand: Pat Pataranutaporn et al, Future You: A Conversation with an AI-Generated Future Self Reduces Anxiety, Negative Emotions, and Increases Future Self-Continuity, arXiv (2024). DOI: 10.48550/arxiv.2405.12514


Clinical study shows zebrafish avatars of cancer patients have high predictive power
Jun 2024, phys.org

Already exists - zAvatars - avatars of cancer patients to help guide therapeutic decisions.

To create the avatars, the researchers inject tumoral cells taken from patients directly into the zebrafish embryos. 

via Cancer Development and Innate Immune Evasion Group at the Champalimaud Foundation: Bruna Costa et al, Zebrafish Avatar-test forecasts clinical response to chemotherapy in patients with colorectal cancer, Nature Communications (2024). DOI: 10.1038/s41467-024-49051-0


Wednesday, July 10, 2024

Everything Is A Computer If You Try Hard Enough


You walk into a room, and it's empty, but you enter, and without hesitation, you sit down into mid air, and before you land, a chair materializes itself to catch you. The actual matter, the particles that make up the chair, have been engineered to become chairs. They have "chair" written not into their DNA, but into their fundamental physics. They have no power source because they take their energy from light waves, sound waves, vibrations, even gradients like in between high temperatures and lows, or saltwater and fresh, or whatever that means, since it could be an information gradient (could it?). They have no battery because they don't use more than they need in real time. Every particle of this special form of matter is a computer, with wireless communication, with sensors, all of it built into the physics of the particles themselves. It will know you're in the room, who you are and what you want. And that's why all you have to do is want to sit, and the chair materializes. It's still too hard to explain what it means when everything is a computer, but here is an introduction:  

Photonic chip that 'fits together like Lego' opens door to semiconductor industry
Dec 2023, phys.org

Chiplets - The chip is built using an emerging technology in silicon photonics that allows the integration of diverse systems on semiconductors less than 5 millimeters wide; it's like fitting together Lego building blocks, where new materials are integrated through advanced packaging of components, using electronic "chiplets."

via University of Sydney Nano Institute:  Matthew Garrett et al, Integrated microwave photonic notch filter using a heterogeneously integrated Brillouin and active-silicon photonic circuit, Nature Communications (2023). DOI: 10.1038/s41467-023-43404-x

Unexpected AI fingers image credit: AI Art - AI Fingers at Work on a Circuitboard - 2023


Study suggests that physical processes can have hidden neural network-like abilities
Jan 2024, phys.org

Natural molecular processes can do complex calculations that rival a simple neural network. On the face of it, the initial steps in the act of freezing - called 'nucleation' in physics - do not resemble 'thinking'. But the new study shows that the act of freezing can "recognize" subtly different chemical combinations - e.g., the smell of oatmeal raisin cookies versus chocolate chip - and build different molecular structures in response.

The work points at a new view of computation that does not involve designing circuits, but rather designing what physicists call a phase diagram. For example, for water, a phase diagram might describe the temperature and pressure conditions in which liquid water will freeze or boil, which are 'muscle'-like material properties. But this work shows that the phase diagram can also encode 'thinking' in addition to 'doing,' when scaled up to complex systems with many different kinds of components.

via University of Chicago, California Institute of Technology, and Maynooth University: Constantine Glen Evans et al, Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly, Nature (2024). DOI: 10.1038/s41586-023-06890-z

 
International research team develops new hardware for neuromorphic computing
Feb 2024, phys.org

In the eye, the visual information is pre-processed by hundreds of millions of the retina's photoreceptors and converted into electrical signals that are transmitted by the optic nerve to the brain. This process greatly reduces the amount of data processed in the brain by the visual cortex.

(The nose is far, far crazier in what it does, by the way)

Inspired by eyesight, this on-chip phonon-magnon reservoir for neuromorphic computing maps input signals into a multidimensional reservoir space. The reservoir is made of acoustic waves (phonons) and spin waves (magnons), and is not trained but only expedites recognition by a simplified artificial neural network, resulting in enormous reduction of computational resources and training time.

(Wait until they get inspired by the nose)

via Technische Universität Dortmund, Loughborough University, V. E. Lashkaryov Institute of Semiconductor Physics in Kyiv, University of Nottingham: Dmytro D. Yaremkevich et al, On-chip phonon-magnon reservoir for neuromorphic computing, Nature Communications (2023). DOI: 10.1038/s41467-023-43891-y


A low-cost system to collect EEG measurements during VR experiences
Feb 2024, phys.org

Everything gets it's own chip, just like this

NeuroVista, the new system proposed by the researchers, utilizes KS1092, a cost-effective biological potential measurement chip. The prototype of the device created by the researchers is comprised of this chip, along with a set of electrodes, and a lithium battery.

via South China University of Technology: Zhiyuan Yu et al, A low-cost, wireless, 4-channel EEG measurement system used in virtual reality environments, HardwareX (2024). DOI: 10.1016/j.ohx.2024.e00507.
 

Giant leap toward neuromorphic devices: High-performance spin-wave reservoir computing
Mar 2024, phys.org

It's a high-performance spin wave reservoir computing that uses spintronics. It works with a randomly generated network called the "reservoir" which enables the memorization of past input information and its nonlinear transformation, allowing physical systems to perform tasks for sequential data.

via Tohoku University Advanced Institute for Materials Research: Satoshi Iihama et al, Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves, npj Spintronics (2024). DOI: 10.1038/s44306-024-00008-5