MATRIXSYNTH: Anabrid


Showing posts with label Anabrid. Show all posts
Showing posts with label Anabrid. Show all posts

Saturday, February 24, 2024

Anabrid Analog Thing Analog Computer

Note: Auction links are affiliate links for which the site may be compensated.


via this auction

"Includes patch cables, USB power cable, rca to 1/8" cable, ribbon cable & original packaging."

This is a bit of an odd post. I spotted Anabrid's Analog Thing Analog Computer on Reverb and was curious what it was, as it has not been featured on the site before. Below you'll find some info from Anabrid along with a user video featuring some audio.


Explore THE ANALOG THING by anabrid

video upload by Anabrid Computing

Little Impro with THAT by Analog Thing

video upload by JesterN

"Playing THAT:: Bernd Ulmann's beautiful analog computer. This is Sprott SQM Model an example of a simple three-dimensional chaotic flow with a quadratic nonlinearity. The model consists of three coupled differential equations. Translating and solving equations through circuits is feels very organic. I was used to do this on paper, and had found it quite simplistic to approximate it digitally, just using brute force computer iterations."


via https://the-analog-thing.org

THE ANALOG THING (THAT) is a high-quality, low-cost, open-source, and not-for-profit cutting-edge analog computer.

THAT allows modeling dynamic systems with great speed, parallelism, and energy efficiency. Its use is intuitively interactive, experimental, and visual. It bridges the gap between hands-on practice and mathematical theory, integrating naturally with design and engineering practices such as speculative trial-and-error exploration and the use of scale models.

Dynamic system modeling on THAT can serve a variety of valuable purposes. It may help understand what is (models of), or it may help bring about what should be (models for). It may be used to explain in educational settings, to imitate in gaming, to predict in the natural sciences, to control in engineering, or it may be pursued for the pure joy of it!

A DIFFERENT PARADIGM

Analog computing is one of three major computational paradigms (analog, digital and quantum). As digital computing approaches the limit of Moore's Law, analog computing offers a strategy to diversify today's digital monoculture. Analog computing is:
ideally suited for dynamic systems modeling
ideally suited for neuromorphic AI applications
significantly more energy-efficient than digital computing
inherently safer than digital computing in the face of cyber threats

THE ANALOG THING is designed to allow an extensive range of analog computing applications with a small set of calculating elements.

5 INTEGRATORS
Circuits that perform integration over time.

4 SUMMERS
Circuits that add inputs continously.

2 COMPARATORS
Circuits that compare inputs to support conditional functions.

MASTER / MINION PORTS
Interfaces that allow daisy-chaining mutiple THATs to create arbitrarily large programs.

8 COEFFICIENT POTENTIOMETERS
Rotary knobs to provide user-defined inputs.

2 MULTIPLIERS
Circuits that multiply inputs continously.

PANEL METER
A digital panel meter for precision measurements of values and timing.

HYBRID PORT
An interface for controlling THAT digitally to develop analog-digital hybrid programs.

DYNAMIC SYSTEMS MODELING

With THE ANALOG THING, you can model dynamic systems including:
market economies
the spread and control of diseases
population dynamics
chemical reactions
mechanical systems
a variety of mathematical attractors

COLLATERAL LEARNING

As collateral learning benefits, THAT offers introductions to:

CALCULUS
Inseparably linked with rates of change and the accumulation of quantities, analog computing offers a practical approach to differential and integral calculus.

ANALOG CIRCUITS
With computing elements built around operational amplifiers, analog computing enables users to gain a hands-on understanding of analog circuits.

CONTROL ENGINEERING
Applicable in adaptive control systems, analog computing offers a practical introduction to control engineering.
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