Abstract: In one example, a neural network device comprises a first plurality of synapses configured to receive a first plurality of inputs and to generate therefrom a first plurality of outputs, wherein the first plurality of synapses comprises a plurality of memory cells, each of the plurality of memory cells configured to store a weight value corresponding to a number of electrons on its floating gate and the plurality of memory cells are configured to generate the first plurality of outputs based upon the first plurality of inputs and the stored weight values.

Abstract: A system and method are provided that enables a processor to undergo a functional test of its circuits prior to attachment to a semiconductor package and prior to use in a computing platform. The method of testing chips includes attaching a non-packaged semiconductor circuit to a test bed, loading computer instructions into a memory of the non-packaged semiconductor circuit, and operating the non-packaged semiconductor circuit in a test boot mode and executing the computer instructions in that mode. The operation logs one or more events of the execution of the instructions in the test boot mode and transmits the logs of the one or more events from the non-packaged semiconductor circuit via a joint test action group (JTAG) interface or a universal asynchronous receiver/transmitter (UART) interface.

Abstract: Various examples of decoders and physical layout designs for non-volatile flash memory arrays in an analog neural system are disclosed. In one example, a system comprises a plurality of vector-by-matrix multiplication arrays in an analog neural memory system, each vector-by-matrix multiplication array comprising an array of non-volatile memory cells organized into rows and columns, wherein each memory cell comprises a word line terminal; a plurality of read row decoders, each read row decoder coupled to one of the plurality of vector-by-matrix multiplication arrays for applying a voltage to one or more selected rows during a read operation; and a shared program row decoder coupled to all of the plurality of vector-by-matrix multiplication arrays for applying a voltage to one or more selected rows in one or more of the vector-by-matrix multiplication arrays during a program operation.

Abstract: Numerous examples are disclosed of a row address decoding scheme. In one example, a memory system comprises m banks of non-volatile memory cells, the m banks respectively comprising n or fewer sectors and the sectors respectively comprising p rows, and a row decoder to receive a row address comprising r bits and to identify (i) a row using the least significant t bits in the r bits, (ii) a bank using the next u least significant bits, and (iii) a sector using the next v least significant bits, where m?2u, n?2v, and p?2t.

Abstract: Numerous embodiments of decoders for use with a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. The decoders include bit line decoders, word line decoders, control gate decoders, source line decoders, and erase gate decoders. In certain embodiments, a high voltage version and a low voltage version of a decoder is used.

Abstract: Numerous embodiments of a transceiver for providing high voltages for use during erase or program operations in a non-volatile memory system are disclosed. In one embodiment, a transceiver comprises a PMOS transistor and a native NMOS transistor. In another embodiment, a transceiver comprises a PMOS transistor, an NMOS transistor, and a native NMOS transistor.

Abstract: The present invention is directed to a nanoscaled construct, said construct comprising or essentially consisting of a nucleic acid structure with reconfigurable or switchable features, and at least two separate metallic nanoparticles coupled with said nucleic acid structure, wherein said two separate nanoparticles are at an interchangeable angle to each other, wherein said nanoparticles provide high chirality and/or optical activity within the visible and near-infrared (NIR) spectrum from 400 to 800 nm generating a color for the construct, and wherein said construct has an absorption dissymmetry factor (g-factor) of over 10%.

Abstract: Numerous examples are disclosed of systems and methods to implement redundancy. In one example, a system comprises an array of non-volatile memory cells; a redundant array of non-volatile memory cells; and an input block coupled to respective rows in the array and respective rows in the redundant array and comprising row tag registers and redundant row tag registers.

Abstract: In one example, a neural network device comprises a first plurality of synapses configured to receive a first plurality of inputs and to generate therefrom a first plurality of outputs, wherein the first plurality of synapses comprises a plurality of memory cells, each of the plurality of memory cells configured to store a weight value corresponding to a number of electrons on its floating gate and the plurality of memory cells are configured to generate the first plurality of outputs based upon the first plurality of inputs and the stored weight values.

Abstract: In one example, a system comprises a vector-by-matrix multiplication array comprising non-volatile memory cells organized into rows and columns; a plurality of word lines coupled respectively to rows of the vector-by-matrix multiplication array; and a word line driver coupled to the plurality of word lines, the word line driver comprising a plurality of select transistors coupled to a common control line and the plurality of word lines, and a plurality of bias transistors coupled to the plurality of select transistors and capable of providing a bias voltage to a single select transistor in the plurality of select transistors or to all of plurality of select transistors in response to control signals.

Abstract: A system and method are provided that enable a processor to have the immutable code and data that it uses for its boot process to be securely patched. A system may include a read only memory (ROM) storing one or more certificates and instructions, an array of one-time programmable (OTP) indicators, a bootstrap controller connected to the ROM and the array of OTP indicators, and a random access memory (RAM) connected to the bootstrap controller. The bootstrap controller is configured to verify integrity of firmware for boot based on certificates stored in ROM, check for a patch in the array of OTP indicators, and write the one or more certificates and the instructions in ROM and the patch into the RAM. The patch may be loaded into RAM by the bootstrap controller and overwrite ROM instructions or certificates in RAM.

Abstract: A system and method are provided that enables a processor to undergo a functional test of its circuits prior to attachment to a semiconductor package and prior to use in a computing platform. The method of testing chips includes attaching a non-packaged semiconductor circuit to a test bed, loading computer instructions into a memory of the non-packaged semiconductor circuit, and operating the non-packaged semiconductor circuit in a test boot mode and executing the computer instructions in that mode. The operation logs one or more events of the execution of the instructions in the test boot mode and transmits the logs of the one or more events from the non-packaged semiconductor circuit via a joint test action group (JTAG) interface or a universal asynchronous receiver/transmitter (UART) interface.

Abstract: Numerous embodiments of a transceiver for providing high voltages for use during erase or program operations in a non-volatile memory system are disclosed. In one embodiment, a transceiver comprises a PMOS transistor and a native NMOS transistor. In another embodiment, a transceiver comprises a PMOS transistor, an NMOS transistor, and a native NMOS transistor.

Abstract: A system and method is provided that enables a processor to undergo RMA after being in a secured operating state, where the secure state includes hardware disabling of test access ports and debug ports during a boot process. The apparatus providing this computer security at power-on or boot-up may have at least two one-time programmable indicators, a bootstrap controller that controls at least two boot-time switches and reads the one-time programmable indicators, and a read only memory storing at least one instruction. The bootstrap controller calculates an operating state such as a secure state or RMA state based on the at least two one-time programmable indicators. The bootstrap controller then enables or disables an execution of the at least one instruction or enables or disables a hardware port based on the operating state. The bootstrap controller may provide switching between RMA and secure states via sequential one-time programming of indicators.

Abstract: Numerous embodiments of input circuitry for an analog neural memory in a deep learning artificial neural network are disclosed.

Abstract: Numerous embodiments are disclosed for accessing redundant non-volatile memory cells in place of one or more rows or columns containing one or more faulty non-volatile memory cells during a program, erase, read, or neural read operation in an analog neural memory system used in a deep learning artificial neural network.

Abstract: Various examples of decoders and physical layout designs for non-volatile flash memory arrays in an analog neural system are disclosed. In one example, a system comprises a plurality of vector-by-matrix multiplication arrays in an analog neural memory system, each vector-by-matrix multiplication array comprising an array of non-volatile memory cells organized into rows and columns, wherein each memory cell comprises a word line terminal; a plurality of read row decoders, each read row decoder coupled to one of the plurality of vector-by-matrix multiplication arrays for applying a voltage to one or more selected rows during a read operation; and a shared program row decoder coupled to all of the plurality of vector-by-matrix multiplication arrays for applying a voltage to one or more selected rows in one or more of the vector-by-matrix multiplication arrays during a program operation.

Abstract: The present invention relates to a method of purifying native ubiquitin without acid or heat treatment. The method presented here is designed to overcome limitations of acid or heat based ubiquitin purification in two different points of view. First, it decreases a chance of mixing other proteins resistant to acids or heat. Second, it includes no harsh condition, which might denature the ubiquitin. As a result, the purification of native ubiquitin becomes possible. The ubiquitin obtained herein is expected to be used for various purposes in technical fields.

Abstract: Various embodiments of word line decoders, control gate decoders, bit line decoders, low voltage row decoders, and high voltage row decoders and various types of physical layout designs for non-volatile flash memory arrays in an analog neural system are disclosed. Shared and segmented embodiments of high voltage row decoders are disclosed.

Abstract: Numerous embodiments for processing the current output of a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. The embodiments comprise a summer circuit and an activation function circuit. The summer circuit and/or the activation function circuit comprise circuit elements that can be adjusted in response to the total possible current received from the VMM to optimize power consumption.