Micron Technology Incorporated

Henkel Ag & Company, Kgaa

Intel Corporation

Keiper Seating Mechanisms Co., Ltd.

Henkel IP Holding Gmbh

Hongyu Wang

Sean Stephen Eilert

Kenneth Marion Curewitz

Ameen D Akel

Shivasankar Gunasekaran

Samuel E Bradshaw

Justin M Eno

Shivam Swami

Jared E Hulbert

John Rudelic

Daoqiang Lu

Chunfu Chen

Chuan Wang

Zhenyi Tang

Hongbin Ni

Xin Wang

Junichi Sawanobori

Xiaoming Zhang

Victor Xinya Lu

Yinxiao Yuan

Minrui Li

Jiajing Yu

Minghui Liu

Junichi Sawabobori

A computer system includes physical memory devices of different types that store randomly-accessible data in a main memory of the computer system. In one approach, data is stored in memory at one or more logical addresses allocated to an application by an operating system. The data is physically stored in a first memory device of a first memory type (e.g., NVRAM). The operating system determines an access pattern for the stored data. In response to determining the access pattern, the data is moved from the first memory device to a second memory device of a different memory type (e.g., DRAM).

Mapping non-typed memory access to typed memory access

A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, changes to local versions of the ANN can be combined with a master version of the ANN. In the system, a first device can include memory that can store the master version, a second device can include memory that can store a local version of the ANN, and there can be many devices that store local versions of the ANN. The second device (or any other device of the system hosting a local version) can include a processor that can train the local version, and a transceiver that can transmit changes to the local version generated from the training. The first device can include a transceiver that can receive the changes to a local version, and a processing device that can combine the received changes with the master version.

Distributed machine learning with privacy protection

A computer system stores metadata that is used to identify physical memory devices that store randomly-accessible data for memory of the computer system. In one approach, access to memory in an address space is maintained by an operating system of the computer system. Stored metadata associates a first address range of the address space with a first memory device, and a second address range of the address space with a second memory device. The operating system manages processes running on the computer system by accessing the stored metadata. This management includes allocating memory based on the stored metadata so that data for a first process is stored in the first memory device, and data for a second process is stored in the second memory device.

Accessing stored metadata to identify memory devices in which data is stored

A novel power slide with a motor directly connected to a lead screw includes a left slide and a right slide each including a top rail, a bottom rail, a power motor, a lead screw, a threaded assembly and a retainer ring. A first slot and a second slot are formed in two ends of the top rail, respectively. The power motor is fixed to a lower surface of the top rail through a motor bracket. The lead screw has an end connected to the power motor and another end rotatably fixed to the lower surface of the top rail. A bottom portion of the threaded assembly is fixedly connected to an upper surface of the bottom rail, and the lead screw horizontally penetrates through the threaded assembly and is in threaded fit with the threaded assembly. The retainer ring is located in the first slot, and a gap is formed between the retainer ring and the first slot.

Power slide with motor directly connected to lead screw

The present invention relates to a photo-curable liquid optically clear adhesive composition, to a cured adhesive and an article produced therefrom, and to the use thereof.

Photo-curable liquid optically clear adhesive composition and the use thereof

Methods and apparatus of Exclusive OR (XOR) engine in a random access memory device to accelerate cryptographical operations in processors. For example, an integrated circuit memory device enclosed within a single integrated circuit package can include an XOR engine that is coupled with memory units in the random access memory device (e.g., having dynamic random access memory (DRAM) or non-volatile random access memory (NVRAM)). A processor (e.g., System-on-Chip (SoC) or Central Processing Unit (CPU)) can have encryption logic that performs cryptographical operations using XOR operations that are performed by the XOR engine in the random access memory device using the data in the random access memory device.

Exclusive or engine on random access memory

A computer system includes physical memory devices of different types that store randomly-accessible data in a main memory of the computer system. In one approach, an operating system allocates memory from a namespace for use by an application. The namespace is a logical reference to physical memory devices in which physical addresses are defined. The namespace is bound to a memory type. In response to binding the namespace to the memory type, the operating system adjusts a page table to map a logical memory address in the namespace to a memory device of the memory type.

Memory system for binding data to a memory namespace

A computer system includes physical memory devices of different types that store randomly-accessible data in memory of the computer system. In one approach, access to memory in an address space is maintained by an operating system of the computer system. A virtual page is associated with a first memory type. A page table entry is generated to map a virtual address of the virtual page to a physical address in a first memory device of the first memory type. The page table entry is used by a memory management unit to store the virtual page at the physical address.

Page table hooks to memory types

A power slide includes a left slide and a right slide, each including a top rail, a bottom rail, a lead screw and an electric motor. The top rail is arranged above the bottom rail and is slidably connected to the bottom rail, and a notch is formed in a middle portion of the top rail. The lead screw is arranged above the bottom rail in parallel and has two ends fixedly connected to the bottom rail. The electric motor includes a housing, a rotor shaft and a stator shaft. The housing is mounted in the notch, the stator shaft is fixedly connected into the housing, the rotor shaft penetrates into the stator shaft and is rotatably connected to the stator shaft, and an interior of the rotor shaft is threadedly connected to the lead screw.

Power slide

A system having multiple devices that can host different versions of an artificial neural network (ANN) as well as different versions of a feature dictionary. In the system, encoded inputs for the ANN can be decoded by the feature dictionary, which allows for encoded input to be sent to a master version of the ANN over a network instead of an original version of the input which usually includes more data than the encoded input. Thus, by using the feature dictionary for training of a master ANN there can be reduction of data transmission.

Feature dictionary for bandwidth enhancement

Applications may request persistent storage in nonvolatile memory. The persistent storage is maintained across power events and application instantiations. Persistent storage may be maintained by systems with or without memory management units.

Persistent content in nonvolatile memory

A method, an apparatus, and a system have been disclosed. An embodiment of the method includes an autonomous memory device receiving a set of instructions, the memory device executing the set of instructions, combining the set of instructions with any data recovered from the memory device in response to the set of instructions into a packet, and transmitting the packet from the memory device.

Methods and systems for parsing and executing instructions to retrieve data using autonomous memory

The present disclosure relates to a photo-curable adhesive composition and the cured product thereof. The photo-curable adhesive composition according to the present disclosure comprises hydrophobic urethane (meth)acrylate polymers; a (meth)acrylate monomer or (meth)acrylamide monomer; a photoinitiator and a slip agent. The photo-curable adhesive composition according to the present disclosure exhibits good peelable property and optical property.

Growing community of inventors

Shanghai, China

Hongyu Wang