A semiconductor device that has low power consumption and is capable of performing a product-sum operation is provided. The semiconductor device includes first and second cells, a first circuit, and first to third wirings. Each of the first and second cells includes a capacitor, and a first terminal of each of the capacitors is electrically connected to the third wiring. Each of the first and second cells has a function of feeding a current based on a potential held at a second terminal of the capacitor, to a corresponding one of the first and second wirings. The first circuit is electrically connected to the first and second wirings and stores currents I1 and I2 flowing through the first and second wirings. When the potential of the third wiring changes and accordingly the amount of current of the first wiring changes from I1 to I3 and the amount of current of the second wiring changes from I2 to I4, the first circuit generates a current with an amount I1I2I3+I4. Note that the potential of the third wiring is changed by firstly inputting a reference potential to the third wiring and then inputting a potential based on internal data or a potential based on information obtained by a sensor.

An operation method of a semiconductor device that performs data writing and correction processing is provided. The operation method is for a semiconductor device including a control circuit, a first circuit, a second circuit, a wiring, a cell, and a converter circuit. In the operation method, first, the control circuit transmits, to the first circuit, a first signal corresponding to the value of first data. Next, the first circuit outputs, to the wiring, a first current with an amount corresponding to the first signal. Moreover, the cell retains a first potential corresponding to the amount of first current. Then, the cell makes a second current corresponding to the first potential flow from the wiring, and the converter circuit outputs a second signal corresponding to the amount of second current. Next, the second circuit obtains a difference value between a value corresponding to the second signal and the value of the first data. If the difference value is 0, the operation is terminated. If the difference value is not 0, the control circuit generates an update value obtained by adding the difference value to a value corresponding to the first signal previously transmitted. The first circuit obtains the first signal corresponding to the update value and outputs the updated first current to the cell.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

A nervous-system emulator engine includes working computational models of the vertebrate nervous system to generate lifelike animal behavior in a robot. These models include functions representing several anatomical features of the vertebrate nervous system, such as spinal cord, brainstem, basal ganglia, thalamus, and cortex. The emulator engine includes a hierarchy of controllers in which controllers at higher levels accomplish goals by continuously specifying desired goals for lower-level controllers. The lowest levels of the hierarchy reflect spinal cord circuits that control muscle tension and length. Moving up the hierarchy into the brainstem and midbrain/cortex, progressively more abstract perceptual variables are controlled. The nervous-system emulator engine may be used to build a robot that generates the majority of animal behavior, including human behavior. The nervous-system emulator engine may also be used to build working models of nervous system functions for clinical experimentation.

A nervous-system emulator engine includes working computational models of the vertebrate nervous system to generate lifelike animal behavior in a robot. These models include functions representing several anatomical features of the vertebrate nervous system, such as spinal cord, brainstem, basal ganglia, thalamus, and cortex. The emulator engine includes a hierarchy of controllers in which controllers at higher levels accomplish goals by continuously specifying desired goals for lower-level controllers. The lowest levels of the hierarchy reflect spinal cord circuits that control muscle tension and length. Moving up the hierarchy into the brainstem and midbrain/cortex, progressively more abstract perceptual variables are controlled. The nervous-system emulator engine may be used to build a robot that generates the majority of animal behavior, including human behavior. The nervous-system emulator engine may also be used to build working models of nervous system functions for clinical experimentation.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

The basis of calculating memory capacity of modern computing is bit. Thus, the number of bits is the unit of information quantity of modern communication. The number of neurons (node number) in the neural networks in human brain is not the unit of the memory capacity of the human being. The complexity of neural network is much greater than the bit capacity. Hence, the current AI, which tries to imitate the human brain using computing with the basis on bits, performs inherently different processing of information from the human brain. In addition, computing based on bit number is always facing the limitation of integration. The present disclosure provides a system of information memory without relying on bits using three-dimensional neural networks. By replacing the electrical connection of non-volatile memory cells, which are distributed in a three-dimensional array, the mechanism of the information processing of the human brain can be imitated.

A computation processing device includes: a memory unit that retains computation data for weighting computation, and at least a part of which is a non-volatile storage region; a computation circuit unit that performs computation processing including the weighting computation by using a part or all of the computation data input from the memory unit; and a power gate unit that blocks power supply to a part or all of memory cells other than memory cells storing a part or all of the computation data input to the computation circuit unit in the computation processing when performing the computation processing, in the non-volatile storage region.