Abstract: A device for generating a random electric signal, including an input duct, an output duct, a generator of magnetic particles generating magnetic particles in the input duct, a diffusion chamber connected to the input duct and the output duct, wherein the diffusion chamber is designed to diffuse the generated magnetic particles, a displacement unit for displacement of the generated magnetic particles towards the diffusion chamber, and a converter that is designed to generate an electrical signal proportional to a characteristic, wherein the characteristic is the particle density in the diffusion chamber or the passage of magnetic particles at a predetermined location of an output duct connected to the diffusion chamber.

Abstract: Disclosed is a modular stochastic machine capable of carrying out probability calculations and including: at least one stochastic distribution module corresponding to a plurality of random variables and capable of receiving an input of values of specified variables in order to return, as output, a representation of the distribution of at least one non-specified variable determined by the values of the specified variables; and at least two stochastic variable modules each corresponding to a single random variable and including: both a stochastic multiplier capable of receiving, as input, representations of distributions in order to return, as output, a representation of the product distribution, as well as a stochastic proportional normalizer capable of receiving, as input, a representation of a distribution in order to return, as output, a proportionally normalized representation.

Abstract: The invention relates to a stochastic-type microprocessor. In some embodiments, the microprocessor comprises an elementary stochastic computation module able to receive, as input, two random and independent binary input signals each representing a binary coding of two respective given input probability values, and able to generate, as output, a random binary output signal. The elementary module comprises: a programmable logic unit, able to combine two input signals to generate an output signal; an addressable memory, able to store an output probability value coded by an output signal generated by the logic unit; a first stochastic clock, able to produce a first clock signal; a second stochastic clock, able to produce a second clock signal.

Abstract: A device for generating a random electric signal, including an input duct, an output duct, a generator of magnetic particles generating magnetic particles in the input duct, a diffusion chamber connected to the input duct and the output duct, wherein the diffusion chamber is designed to diffuse the generated magnetic particles, a displacement unit for displacement of the generated magnetic particles towards the diffusion chamber, and a converter that is designed to generate an electrical signal proportional to a characteristic, wherein the characteristic is the particle density in the diffusion chamber or the passage of magnetic particles at a predetermined location of an output duct connected to the diffusion chamber.

Abstract: The invention relates to a stochastic-type microprocessor. In some embodiments, the microprocessor comprises an elementary stochastic computation module able to receive, as input, two random and independent binary input signals each representing a binary coding of two respective given input probability values, and able to generate, as output, a random binary output signal. The elementary module comprises: a programmable logic unit, able to combine two input signals to generate an output signal; an addressable memory, able to store an output probability value coded by an output signal generated by the logic unit; a first stochastic clock, able to produce a first clock signal; a second stochastic clock, able to produce a second clock signal.

Abstract: The invention relates to a method for determining a value given to the totality of specific parameters of a system using the values of the totality of measuring parameters of said system which is associated to a unit for providing with a probability value for any combination of values of the specific parameters. The inventive method consists in determining the value of each parameter and in constructing the representation of probability distribution of all possible combination of values of the specific parameters pertaining to determine values. The totality of combinations is divided into a number of first totalities of combinations. Each first totality can be divided into a number of second totalities in a similar manner and so on, a probability value being attributed to each totality. Said method also consists in selecting the totalities of values of the specific parameters using the constructed representation of probability distribution.