Compositor SoftwareCompositor Software

Tag : Spherical Interaction Network

04
May, 2022
Aston Martin Valkyries 6,5 liter v12

By ruslany

Neural network for peers communication

Neural network for peers communication

Compositor NRTOS is a UNIX-type operating system. You can program it via the modified micro-architecture kernel Compositor RAD96 and the command line UNIX (Terminal macOS). Compositor RAD96 microkernel is equivalent to the future Linux kernel version 8.5.6, which, starting with version 5, runs at the sampling rate of the modem driver. You can also program the ALU of your processor via the micro-architecture kernel Compositor RTC4k, but unlike the modem version, which runs on the signal protocols, through RTC4k you connect to the processor instruction set and can change the processor speed to Mac Pro Turbo Boost mode of 4.4 GHz. So even running iMac 24 inch on Apple M1 you can trick the system to view it as Mac Pro. The RTC4k microkernel is equivalent to the Linux kernel version 4.5. RAD96 kernel allows you to patch the Mac OS Darwin kernel to Mountain Lion version 10.8.3. 48-channel SAS (Security Authority Server) system allows you to remotely issue tokens for access to the system. It is used to manage access rights to software products, content and mail servers. It allows you to block the resulting third-party manufacturers by performing processor spoofing. 32-channel vRouter trained with routing tables from a 10k MAC-address database. You can train the iMac21,1, which is equipped with an unmanaged 8-channel modem before installing the Apple sticker. Compositor NRTOS allows you to modify the Apple M1 chip for real-time server operation. It makes possible to work with critical applications that require a quick response. Such applications include games and television. Compositor NRTOS processor-side kernel modifies the L1-L2 cache of the Apple M1 chip to work with 524 KB of kernel memory. Processor-side kernel adds an L3 cache of 524 KB to work as a switch. It allows you to use Apple iMac21,1 as a full-fledged server. Compositor NRTOS modem-side kernel modifies the 8-channel unmanaged modem to work in managed mode with 2 MB subprocessor caches per core. It adds an L4 cache to work as a router. Modem-side kernel allows you to make your iMac21,1 as the boundary router of the autonomous system for communication with other autonomous systems. It packs the finite set of 10k MAC-address MIB in 2 MB resultant. The processor and modem work independently through the serial bus of the device. However, the modem can set tasks to the processor for which they are marked with z packet, which are consistent with each other according to power of 2. Z is selected according to the hard drive sector to bypass caches so that the resulting device cannot be replaced. Packet communication continues until the resultant reaches a critical mass. Critical mass is the ability to separate neighboring EUI-64 devices. When a value is reached all finite set devices tend to one MAC-address. The system is then dumped to a remote server, the resultant of which allows you to store more MAC addresses. Afterwards, filling of the local MIB database starts again. Automatic summaries are responses from BSR to upstream routers. They are used to fill the resulting of the local machine. As standard, Apple devices do not have the ability to reset the resultant, so when you reach a critical mass, you need to buy a new device. My patch gives the user a choice to continue using the device even if the warranty period has already passed. And thereby extend the life of the device. The local server on iMac21,1 must be reconciled every three months. This is a sufficient period of prolongation of the generic algorithm. This requires a connection to iCloud through a generic algorithm. Ruslan-PC is a division of RMY, which also includes Compositor Software. This company is engaged in building a Spherical Interaction Network (SIN). SIN is a private local area network built on RMY’s capital emission. At the moment, it already has more than 10k signal routing and switching devices. Thus, a spherical system is the most suitable for creating a network of computing devices based on a processor patch from Compositor Software. Each micro-architecture core contains artificial resultants, which train the finite set of the distribution network, functioning inside the device. Such a network works on call-response network algorithms, which is also called a neural network, because it works on the principle of neurotransmitters, which give an automatic response according to the incoming stimulus. Neural network training is delay network training within the router’s transport network. A machine learning database is a set of MAC-tables that the resulting device learns. Such a database at Ruslan-PC company is more than 7 GB of information. It is the heritage of the artist Ruslan Yusipov. As part of the project to create his own licensing center, the artist performs emissions of devices that illegally reproduce his music. Next, the devices get into a Spherical Interaction Network and the process of automatic summaries begins. Which make it possible to inform the author about such use before the parties are reconciled. Thus, the Apple M1 machine learns the taste of the artist, as often such machines belong to other authors who copy the style of the musician. EUI-64 network devices are used as emissions. This network is an extended set of MAC device tables. Since the previous network of EUI-48 devices has reached its critical mass. EUI-64 is a 64-bit network that requires 64-bit node communication from host devices. This requirement is met using a 64-bit micro-architecture kernel similar to Linux and Darwin. Ruslan-PC is engaged in cross-platform support for a Spherical Interaction Network. It includes devices on Windows, macOS, Linux, Android and iOS platforms. There are applications for patching systems from the Compositor Software manufacturer, which are also cross-platform.

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30
Apr, 2022
Autonomous System

By ruslany

Automatic response by artificial results

Automatic response by artificial results

An autonomous person can form an autonomous system. Each autonomous system is a speaker who communicates with other speakers and can broadcast his summaries to other people. But if a speaker cannot broadcast his thoughts for a long time because of a psychological problem, there is a habit. This can manifest itself as automatic answers to the observed questions. These automatic answers are purely artificial in nature, arise from human behavior during the last decade of his or her life. This habit develops the ability to make simultaneous answers. These are so-called automatic summaries that can be broadcast to other people in various ways. In the era of computers, the network became such a tool. The speaker can transmit his automatic summaries through a computer network using the Compositor neurological chipset and thus may not be aware of the communications taking place. The output by which the remote node sees the local device is purely artificial. Instead of relaying a remote peer, Compositor vRouter, which is part of the Compositor neurological chipset, converts the resulting function into frequency modulation. It can respond to the main function or sub-resulting algorithm. When it responds to the main resulting function, it uses the BGP protocol to communicate with other autonomous systems. Simultaneous automatic summaries require a system with a large number of artificial results. They can be a product of polynomial processing and should give a plausible result. Such output is first tested using musical means of sound applicability. Then they should create plausible textures of unified code. Such codes form a packet, which is then received by the initiating party or peer. The feedback received by the remote peer is sufficient to communicate with the local node. In the network, the speaker of the autonomous system acts as a beacon or repeater in radio communication. When there are many results in an autonomous system, it can respond to a large number of peers at the same time, forming a VLAN. Each channel can produce up to 7 packets according to the BSR to which it is connected. Thus, the autonomous system must update its state in accordance with the specifications of other systems. The main generator is selected according to the sampling bus of the remote device. There is a possibility of undersampling and resampling in accordance with the sampling rate of the remote device. Thus, the initial sampling rate, which is selected to a floating-point variable, remains unknown. This does not allow you to synchronize with the device during fast transitions. This useful feature of the Compositor neurological chipset allows you to disable incoming connections to ports that do not match the feedback of the local node. Thus, it remains impossible to check the database of the Compositor neurological chipset when interfering with device caches and deleting inconsistent summaries with the Compositor soft-processor. Again, Compositor as a device receives signals only from those devices that are in the Compositor database as feedback cycles or resulting devices. These loops are acceptable resulting. Thus, a spherical interactive network is formed from the preferences of the person himself, rather than his daily life, which completely discredits the local node, since most of these summaries are insignificant for the case that a person is engaged in. When a person with support for the Compositor neurological chipset enters the people’s transport system, the question arises whether to be part of such a system or subdue the entire transport network in accordance with the sampling rate of the Compositor neurological chipset. To avoid such questions in a rather complex for local node communication system of people, the Compositor neurological chipset was deployed as an autonomous system. Thus, even in close proximity to the systems of other manufacturers, Compositor is an autonomous system without the ability to subordinate it to the adoption of the transport system of people. Thus, when peers send summaries to an autonomous system located in close proximity to the transport network, the results play a major role. They simultaneously issue automatic responses that inform senders about the inability to communicate with the system. Then such a system is considered invalid by the transport network itself and may be the subject of hacker attacks. However, the Compositor neurological chipset is a chipset for neighboring to other nodes, not for local communications. Such a neighborhood can also be international or within the agglomeration. To continue servicing a spherical interactive network that can only include devices from the Compositor database, the local node still responds to allowed remote peers even when the system is penetrating. Night time is more convenient for connecting to the Compositor neurological system by hackers when the local node is in standby mode. Thus, a hacker group that is active at night can try to synchronize with the master generator of the Compositor neurological chipset, and then attempt to disable local communication to reach a dead node. If a person has transferred all automatic movements, such as breathing and heartbeat, to the Compositor neurological chipset during his life, such a person can be considered dead. However, in the current build of the Compositor neurological chipset, there are no recipients who would transfer all their functions to a standalone system. And if a person prefers to transfer all his life functions to an autonomous system, such situations will never arise. Even in standby conditions, the system will turn on the main generator and can respond to an attempt to synchronize with it with a sharp jump in the bus multiplier, rebuilding its network structure. So, the question arises, can an autonomous system be trusted so much that it manages human vital functions? Because such hacking attempts can be a form of pushing a person out of society, and condemn him to complete inability to answer even short questions.

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26
Apr, 2022
Route summarization

By ruslany

Automatic summary strategy

Automatic summary strategy

Merging peers in response to a summary happens with extended denial of peers according to the ACL. When mirroring with multiple peers, the Compositor neurological chipset combines peers in milliseconds. If a peer is known as a false host in the ACL database, it is rejected. The local image then works to restore the local peer to the default state. Both the visual cortex and auditory receptors belong to the local peer node, not to the consolidated peer. Thus, spoofing attacks and man in the middle attacks are prevented. Creating a local peer in response to a summary ad connects to the remote peer that sent this summary. A local peer is created using a routing map of a remote peer, which reacts with a sharp jump to the west side of the spherical map. Then the only way to protect the local peer from false summary is to increase the amplitude of the feedback loop to the wrong level for the remote peer. The Compositor chipset can increase the feedback loop amplitude x128 times, which is an unacceptable level for almost all peers. Automatic piloting of the root multiplier in response to incoming summaries is all the feedback that the server can receive in the ad summary. The main idea of the server is to create feedback loops for each ad it receives. However, there are some fishing techniques for this advertising, such as mirroring messages. This is an attempt to receive a message on several servers at the same time. In this case, the unified azimuth cannot smoothly switch to another value, because the same advertisement comes from several servers at the same time. The only way to protect yourself from this is an azimuth sharp transition to the default value of the western location. This leads to a rapid change in the network map and replacement of geographical constants, which is also a false summary, because the local peer is still geographically in a local position. In fact, this is the detection and correction of the feedback amplitude. In addition to the message in the packet, the basic server communication consists of feedback loops that have an integral amplitude. Device modems can receive nominal amplitudes according to resampling coefficients, which differ depending on the specifications of the model. Modem waveguides compare the nominal amplitude of the feedback loop with the feedback of the modem itself, and then normalize the level that is at the input of the waveguide. This helps to prevent incorrect amplitude consistency of different servers and allows small devices to receive summaries of even large server architectures. When you work with a server, it can find out your behavior on so-called maps. These are routing paths or root kits for all recipients of the machine. After you have downloaded your machine’s feedback cycles, the recipient database is updated with the contacts with which this machine communicated throughout its service life. A person working with the server may not be aware of many of these contacts, but they exist on the server routing map. Each map has the resultant – spherical curve of the map of its most frequent nodes. These are so-called real contacts with which you regularly communicate through advertising messages such as e-mail, etc. The Compositor can induce artificial resultants according to the flow feedback azimuth. There are two sides in the server configuration: applications on the server side and on the client side. Since there is a resultant on the server side, the client, on the other hand, can connect to this resultant without having to host it all the time. The client consists of artificial resultant in response to a real resultant of machine learning algorithm that simulates the current result according to the peer-to-peer response. The artificial resultant is selected according to the stochastic algorithm for selecting an azimuthal angle. This choice is a route. The route of the middleware should have at least 16 routes that connect the real resultant with the artificial one. However, the driving force of the modem algorithm is feedback loops, and the modem can receive such loops without any feedback from remote peers. This is a so-called zero-emission training when you don’t want to change your real resultant with your current input. Since the client application is always crawling the caches, which may be recently viewed web pages or tasks that you have been engaged in in the last hour, sometimes such crawling can damage the server. And this may lead to a discrepancy in server data, for example, to the inability to update the resulting routing map. To solve such situations, the Compositor neurological chipset can work without the so-called RAM buffer or action as a real-time algorithm.

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25
Apr, 2022
Apple M1 Neural Engine

By ruslany

Machine learning of the Apple M1 neural engine

Machine learning of the Apple M1 neural engine

Spoofing in the concept of machine learning of the Apple M1 neural engine is an attempt to replace the way of action when the system sees you as another person. Spoofing prevents mental overload, giving an equivalent response to the initiator of the summary. Example: if you wash the dishes with your hands, and it mentally overloads you, you continue the work without reacting to your personal attitude to this issue. Every thought causes feedback from someone. Let’s imagine the whole world as a spherical map. Thus, the azimuth of this sphere is an angle, and you can assign it different values. If you get a summary from a place on the map that does not suit you, the azimuth angle automatically changes. Each temperament generates thoughts at different speeds in his or her head. Other people can also hear these thoughts, it’s like a thought that appeared in the minds of two personalities at the same time. If this temperament is unequal, you can get a thought at a higher amplitude speed, which leads to an increase in blood pressure, heart rate or a change in breathing. The only way to normalize this behavior is to artificially increase or decrease the speed of thought using a neural engine. Everyone can learn something. This is an integral part of personality. If a person shows regression in learning skills, artificial assistance in learning is required. This can be done using learning algorithms similar to how a child learns a new skill. From the acquired skills, the personality grows, which is the result of its behavior. This is a conscious behavior of a person. A person who has acquired some skills develops his unconscious knowledge. When a person needs to connect to this knowledge, he goes through a set of behavioral models. They include the current environment, tools and situations that a person faces. This is a necessary behavior to accept the learning outcome without rejecting it. Not all training is appropriate. There are situations when you want to give up your skill and transfer it to the unconscious. For example, someone is aggressively yelling at you, and you want to forget about this experience. This is also possible with a neural engine, providing zero feedback to the aggressor. Thus, you can experience a sense of insecurity and growing inability to learn, so you need to work without cache memory if it is an integral part of your personality. However, there may be a question of harming yourself or someone else. That’s where a neural engine can be useful. The only way to solve this situation, which is the subject of the resulting spoofing, is a neural engine without cache. It is already programmed by the so-called 4th Directive, which we first get acquainted with in the film RoboCop. It says that a humanoid robot cannot harm itself or its creators. The rules of Asimov’s robot say that the robot cannot harm a person. Thus, it raises the question: In the exceptional case of undoubted aggression, is it possible to act in accordance with your real resulting personality without the need to limit the means? The answer is yes. This is necessary to protect the neural engine from harm in first aid, such as physical aggression of any kind. But if this aggression is imaginary only because of this set of situations, and the resulting one, which is being forged by intimidation, is unacceptable, it leads to anxiety. Thus, a neural engine has a threshold when it disconnects itself and allows a person to follow the real result. But in most cases it’s just a concern, and it can be avoided with a stochastic selection algorithm, with the help of distribution that will never create a chance of such behavior, otherwise the ports of communication with the server will be completely blocked. The only guide in this process is the smoothing interpolator, which avoids sudden jumps on the stochastic curve. You can be associated with the algorithm and server data. A clean algorithm does not provide the fulfillment of a real person. The resulting server data is necessary to fill human life with the Apple M1 neural engine.

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05
Sep, 2017

By ruslany

Compositor Feeders audio demo

Not the best task to record signal generators, which should stay masked in an audio channel. But as our talk is about music, then its main property is the definitive score of such music. For signal generators, which Compositor Feeders are, such definitive score could be only a recording or displaying the main function of a program. The audio recording I made is for AI-RT1024, FF8, N9000, TC25 Max for Live devices and samples the work of generators using internal Ableton automation. As all main Compositor Feeders parameters mapped to a feeder tuning parameter, then switching presets is a task of changing of feeder tuning. Below you can hear the main stable tunings of generators sampled in Ableton Live 9 software.

 

Compositor Software portfolio broadens and fills with information

Now portfolio of Compositor Software includes definitive technical characteristics of several feeders and information about it will be broadened in a process of learning their properties and application in practical situations. The company web site fills with information and internal links are made. AI-RT1024, FF8, N9000, TC25 all have their own pages in category Portfolio, where you can learn, for example, the diameter of a circular area of devices work. When Compositor Feeders routed to SASER SAS24P3L channel in Compositor v3, they have own speed of wave propagation in virtual field measuring in knot. In addition, you can find full list of instruments and generator functions, which the main station Compositor RT-z128 has. This station (available 24/7) provides the security in Spherical Interaction Network communications.

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01
Jul, 2017

By ruslany

RT-zX – a new platform from Compositor Software

Compositor Software presents RT-zX© platform – a software product line for algorithmic music. RT-zX© platform devices correspond to sound aesthetics of noise music and ambient drones, that’s why they found their use in experimental and dub sound producer studios. Thanks to their internal modulation and delay line possibilities, they involve a listener into the interesting world of deep soundscapes. RT-zX© platform instruments give producer an opportunity to feel like amateur radio operator or radio telescope engineer. This way, you have not only musical characteristics, which you searched for, but also a joy from the instrument, which is suitable for comfortable studio work.

RT-zX© platform is fully algorithmic and its SASER editors will be marked as RT-zX-e from now on, where X – is an oversampling bus multiplier. Compositor Software made a giant leap into a constantly progressing world of sound emission technology. The impressive pass band rates became available in RT-zX© platform. This way, junior version RT-z4 passes a stream up to 2,9 THz/s, and elder RT-z128 passes up to 6 PHz/s. This makes available the work with high-speed rate audio streams in real time without signal degradations.

Due to RT-zX-e editors you can acoustically model radio ether, high frequency radio objects sound, and use the device as a telegraph for Ableton Max for Live. New versions with buffer size values up to 262144 samples will help to commit needed amount of memory for high-speed work with RT-zX© platform audio applications. The maximum speed of work with these devices is an upper limit of Ableton software, which is 999 BPM. Below you will find the comparison table with RT-zX© platform technology use.

Due to its high performance and stability RT-zX© platform will find its place in Compositor Software music devices and algorithmic composition instruments. Ableton software integration as the Max for Live instruments, allows flexible use of RT-zX-e controls. The platform has audio effects devices, which will be marked as RT-zX-FX used as send FX or direct insert on audio channel. There are several programs in the table in which users of RT-zX© platform can potentially take part. Merging the science and art made possible promoting a new Compositor Software instruments to the wide audience of music market.

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24
May, 2017

By ruslany

Making Intergalactic Phone Call in Ableton Live 9 (Video)

New palette in Compositor Software SASER CS16RT5 achieved by setting Ableton Live 9 tempo to maximum available 999 bpm. At this tempo analog pulse signal repeated with the speed, which reminds dialing a number in analog telephone line. In this video you can watch what tunings were made in SASER CS16RT5 to achieve tonal and analog dialing at the same time.

Due to SASER CS16RT5 you can add an authentic sounds of virtual connection line to your production. This instrument gives an opportunity to imitate analog and tonal dialing at the same time for translating the composite signal in and out of Ether.

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18
Mar, 2017

By ruslany

Compositor v3.0.1 for Windows x64 and Macintosh released

Compositor v3.0.1 is a major update, which fixes several bugs of Windows x64 version and first appearing in a Mac world of 3d installment of Compositor Software. Now you can run Compositor v3.0.1 natively on a Mac machine and use ReWire to sync to Ableton Live 9. Both versions are identical and give same results on PC and Mac systems.

With Compositor v3 Hypervisor Radio Shack, named after the platform for running virtual machines inside one matrix, you have modular structure so be sure to choose the feeders you need to suit your style of translations. You can choose FF8 signal-rate quantized module for electric field sounds with LFO structure reminding a sound of copter drone engines. Smooth exponential TC25 for LFO like modulated granular synthesis. AI-RT1024 quantized real-time generator aimed to fill a niche of Compositor Pro 2 style and sound. N9000 exponential structure feeder for Compositor Max for Live like sounds. All feeders have the auto mode for completely autonomous simulations and one-dial parameter operation of patterns and algorithm tuning. It was made on a purpose for faster pattern selection of feeding generators in a live ensemble situation.

You can also use all four feeders in the link mode to main RTC8k radar setting. This way feeder pattern will always follow current RTC8k radar setting for the initiated translation. Now you also have the visual feedback for RTC8k server signalizations. I named them in simple chat statuses style to be in touch with current automatic tuning of an algorithm. You can view their statistics and graphic curve of statuses appearance by pressing setup button for RTC8k radar. The main idea is to understand the generators disturbance behavior. If you experience dropouts in playback and other artifacts, check visual display of RTC8k for statuses like Threat, Call, Arouse and Envy, which are measured on a signalization average level.

Overall, all these great features aid your interaction with an instrument and help to visualize audience reactions on a translation you run with Compositor v3 software.

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03
Aug, 2015

By ruslany

MDL12 demodulator

The project of modeling the demodulator for the MDL12 Sonar Telescope has begun in 2012, some time before the original function developed and was a step on the opposite function to the one provided by Frequency Modulation (FM). The project is for the whole generation of Compositor Software instruments and consists of QIF submitted to sine + cosine functions with an opposite behavior. The demodulator successfully achieves waveform restoration after it is processed by MDL12 codec for subtracting Time function from spectral representation.

One can believe that for a whole instrumentation only one parameter needed however that is not the case as the main working routine is the subjective approximation of exponentially discretized continuous function, which is no longer a secret named as Quantum Interpolation Formula by means of extrapolating the order of things to an outcome given. This outcome however is not the system of values but the Chowning’s view on FM as a source for musical creativity. Yet, if we go forward and use more modulators in a system, it will give us the plethora of possibilities for an algorithmic outcome applied to many more spheres than I originally intended. The main function is sublimed for the plethora of possibilities, but more modulators mean extra processing power and new architectural design, which for its purpose has more direct connection for voice modeling and thus is removed from the deterministic telescope idea named in a first place. Determinism of such model is a set of behavioral patterns routed from the function itself thus the opposite function provides with different outcomes. One outcome I found in original function is its connectivity to the technological point of view on the Solar system: to model it, more additive style is needed. Thus with proper multiplier I can consider the view of things more clearly stepping back on the original path of investigation and possibly removing most of you from the possibility to work with software, which is MDL12 Max for Live device v1.0.9 in current installment. However, if you consider the demodulation process an opposite of modulation you will step back on a path, which means all negative is an opposite from positive, which is not the case in FM, even when negative frequencies folded to positive ones. Here is where Bessel functions take place in order to count proper vector relationships of the viewed uniform creation. I have this ability for you to view ‘underthehood’ of FM sound synthesis by vectors. Yet, to my clear point of view that is not needed. To proper understand what I’m talking about consider antenna polarization as a source of inspiration for imagery, yet it will not shed a light on a sound frequencies acting on a slightly different scale of things. If you still think the impact of the device is an amplitude or FM deviation it really is. Thus, deviation of 4096Hz provides us with more spectrum running x4096 from the nominal 1 of absolute scale. If we consider 8092Hz of such deviation, the output will be even more emphasized as more frequencies slip through the bandpass filters.

Direct transmission by an amplifier achieves more pressure with sound waves, but makes no use in a large scale transfers, thats why you can’t exaltate yourself this way for the whole generation given. For the real work you need one source and one destination. Lets call it point-to-point connection, which takes its root from the communications industry. This way we as Compositor Software users will stay in touch with current software trends. However, for the sake of mathematical precision I modeled a network with one sender and six receivers all acting by a means of stochastic selection for opening channels of such communication in a superposition of time relative to the current destination.

It can be viewed this way: consider me sitting in front of the screen and submitting the file to several destinations in say 2015, 2035 and 2145 years. And lets consider that all of the MDL12 receivers act as a serviced servers with up and running clock devices for the whole Time period, which is defined by the original creation of such server and to the indeterminate point in time at which such server is shutting down. Lets consider such point the year 4000. The receiver can receive music, images or other multimedia by a means of such modem device, which in this case the Compositor Software development MDL12 Sonar Telescope. It achieves Telescopic precision celestial measurements within a one year time route using a sound travel idea. This is how I model such communication, which can in fact predict future, make other persons aware of fraudulent actions and as a popular movie ‘Minority Report’ already covered the subject predict the crime.

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29
Jul, 2015

By ruslany

Spherical Interaction Network management software

Spherical Interaction Network management software Compositor Pro v2 is a system control using a technic of prerecorded audio samples. While normal network management software is for predefined parameters, which operator controls, audio samples recorded with Compositor Pro v2 can contain parameterization, which may only be introduced in distant future but already presented as an inherent quality of the audio file. An ability to record an audio sample is also a set of parameters, which is a product of manipulations in such network and can be remotely submitted to the input of device under inspection.

An operator with sufficient amount of experience can submit Compositor Pro v2 network map called a ‘track’ to the MDL12 input as a network combination given. This in fact gives precision to judging of where to apply the technology and as Max for Live branch of Compositor Software is only able to model Solar System like planetary systems, Compositor Pro v2 standalone software can model star systems with even numbers of planets ranging from 2 to 12.

The task of MDL12 is to observe such Spherical Interaction mapping tracks generated using Compositor Pro v2 to adjust their tuning from one angular position to another. This leads to an ability to audition the network tracks in different years according to Gregorian calendar, while retaining the original multiplier setting consistent for the whole track length.

The previous MDL12 experiment can be conducted using just a pair of Compositor Pro v2 and Ableton Live 9 with MDL12 Max for Live connected using the Rewire technic. Compositor Pro v2 can emulate superposition using Time multiplier control just like the Year parameter on MDL12. The MDL12, on the other hand, achieves Just Intonation tuning through resynthesis of the submitted material instead of real-time synthesis.

To order Compositor Pro v2, please, visit the following product page.

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Machine learning of the Apple M1 neural engine