Compositor SoftwareCompositor Software

Tag : Machine Learning

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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.

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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Neural network for peers communication
Apple M1 Neural Engine
Machine learning of the Apple M1 neural engine