A gaming device having a processor that selects symbols from a first set of reel strips for a plurality of columns of symbol positions, and from a second set of reel strips for a plurality of columns of symbol positions, and controls a display to display the symbols selected including displaying, at each symbol position for which a defined symbol is selected, the defined symbol with the symbol selected at a respective symbol position. Upon the symbols selected including a qualifier symbol, the processor randomly selects one of at least two different symbol replacements, and determines, using the symbol replacements, a replacement symbol for the defined symbol selected. The processor updates the plurality of symbols to incorporate the replacement symbol, and evaluates the updated plurality of symbols for winning symbol combinations.

A system, method, and device for stochastically processing data. There is an architect module operating on a processor configured to manage and control stochastic processing of data, a non-deterministic data pool module configured to provide a stream of non-deterministic values that are not derived from a function, a plurality of functionally equivalent data processing modules each configured to stochastically process data as called upon by the architect module, a data feed configured to feed a data set desired to be stochastically processed, and a structure memory module including a memory storage device and configured to provide sufficient information for the architect module to duplicate a predefined processing architecture and to record a utilized processing architecture.

The present invention pertains to a method of verifying a design of an integrated circuit. The methods executes an iteration of simulation test cycle using a digital representation of the design. Next, the method obtains simulation results from the iteration of the simulation test cycle and calculates, during the simulation test cycle, a test coverage value associated with the simulation results of the iteration of the simulation test cycle. If the test coverage value is less than a target value, the method determines if the simulation test cycle fails to satisfies an iteration limiting metric. If the simulation test cycle satisfies the iteration limiting metric, the method, dynamically adjusts one or more simulation test cycle parameter during the simulation test cycle and iterates the simulation test cycle and recalculating the test coverage value until the test coverage value is at least the target value or the simulation test cycle fails to satisfy the iteration limiting metric. The method then out puts a result of the verification of the design.

An optical device for a quantum random number generator comprising: a source of phase randomised pulses of light, the source of phase randomised pulses of light further comprising a plurality of gain-switched lasers, each gain-switched laser having an output, and each gain-switched laser being configured to emit a stream of pulses such that the phase of each pulse in the stream of pulses is randomised, and an optical pulse combiner, the optical pulse combiner being configured to receive streams of pulses from the output of each gain-switched laser, combine the streams of pulses with one another into a combined stream of pulses and direct the combined stream of pulses into at least one output of the optical pulse combiner, the at least one output of the optical pulse combiner being the output of the source of phase randomised pulses of light; wherein the source of phase randomised pulses of light is configured such that the streams of pulses of light emitted by the plurality of gain-switched lasers are temporally offset relative to one another, a phase measurement element, the phase measurement element being configured to receive the combined stream of pulses from the output of the source of phase randomised pulses of light; and an optical detector, the optical detector being optically coupled to the phase measurement element.

The present disclosure relates generally to systems and methods for providing symbol upgrade features in games. An illustrative method includes receiving a first input from a player interacting with a gaming device initiating a first play of a game, where the game comprises an array of cells. The method further includes determining that a randomly-generated first distribution of symbols includes a common symbol in a first cell and a second cell. The method further includes upgrading a cell in the array of cells with an upgrade symbol, where the upgrade symbol represents that the common symbol in the first cell and the second cell have been combined into the upgrade symbol in response to determining that the first cell and the second cell include the common symbol.

Described herein is a graphics processing unit (GPU) comprising a first processing cluster to perform parallel processing operations, the parallel processing operations including a ray tracing operation and a matrix multiply operation; and a second processing cluster coupled to the first processing cluster, wherein the first processing cluster includes a floating-point unit to perform floating point operations, the floating-point unit is configured to process an instruction using a bfloat16 (BF16) format with a multiplier to multiply second and third source operands while an accumulator adds a first source operand with output from the multiplier.

A method for generating a random number and a random number generator are provided. The method for generating a random number includes: performing n writing operations on at least one analog resistive random access memory, where each of the n writing operations includes applying at least one writing operation pulse to change a conductance value of an operated analog resistive access memory; and generating the random number based on n writing operation pulse numbers respectively corresponding to the n writing operations, where n is a positive integer. The method for generating a random number generates random numbers based on the analog characteristics of the analog resistive random access memory, the generated random number does not need back-end correction, and have both high speed and high reliability.

A vacuum fluctuation quantum random number generator chip includes a heat sink substrate, a laser fixed to a first end of the heat sink substrate, at least two photoelectric detectors fixed to a second end of the heat sink substrate, and a beam splitter fixed to the heat sink substrate and located between the laser and the at least two photoelectric detectors. Light of the laser propagates through the beam splitter. The at least two photoelectric detectors are respectively positioned at optical path outlets of the beam splitter.

A random number generator resistant to side-channel attacks. The random number generator includes an entropy unit generating random pulses, a random frequency clock generator generating random frequencies by receiving random pulses output from the entropy unit, and an MCU externally masking a specific operation or a specific instruction based on a random frequency received from the random frequency clock generator.

Systems and methods for tokenization to support pseudonymization are provided herein. An example method includes receiving an input set, seeding a random number generator with one or more secret data, transposing the input set using a first random number/transposition parameter generated by the random number generator to create a transposed input set, transposing a token set using a second random number/transposition parameter generated by the random number generator to create a transposed token set, and generating a token by substituting transposed input set values with transposed token set values.