International Business Machines Corporation

Chengdu Haiguang Integrated Circuit Design Co., Ltd.

Hygon Information Technology Co., Ltd.

Jente Benedict Kuang

Hung Cai Ngo

Kevin John Nowka

Ching-Te Kent Chuang

Fadi Hikmat Gebara

Rajiv V Joshi

Gary Dale Carpenter

Rhonda L Childress

Keunwoo Kim

Kim Alice Eckert

Ryan D McNair

Mary Joseph Saccamango

Rouwaida N Kanj

Louis L Hsu

Sani Richard Nassif

Jerry C Kao

Liang-Teck Pang

Janani Mukundan

Abraham Mathews

David B Kumhyr

Somnuk Ratanaphanyarat

Robert K Montoye

Inseok Hwang

Dieter F Wendel

Gi-Joon Nam

James Douglas Warnock

Alan J Drake

Carl John Radens

Leland Chang

Karthick Rajamani

Anthony Gus Aipperspach

David Howard Allen

Fariborz Assaderaghi

Daniel Lawrence Stasiak

Hyun J Shin

Alexandre Peixoto Ferreira

Taqi Nasser Buti

Sebastian Ehrenreich

Aj KleinOsowski

Shawn P Authement

Pong-Fei Lu

Jayakumaran Sivagnaname

Harmander Singh Deogun

Chun-Tao Li

Catherine O'Brien, Legal Representative

Scott Flaker, Legal Representative

Shirley A Flaker, Legal Representative

Bruce Flaker, Legal Representative

Anne Flaker, Legal Representative

Heather Flaker, Legal Representative

Xiang Yang Li

John Edward Sheets, Ii

Ying Liu

Todd Alan Christensen

Freeman Leigh Rawson, Iii

Louis C Hsu

Michael H Wood

Michael Sperling

Wendy Ann Belluomini

Paul David Muench

Douglas Michael Dewanz

Rahul M Rao

Chandler Todd McDowell

George E Smith, Iii

Stefanie Ruth Chiras

Ivan Vo

Roy Childs Flaker

Jethro C Law

Ramyanshu Datta

Amlan Ghosh

John P Pennings

Roy Childs Flaker, Deceased

Dongki Kim

Hung Kai Ngo

Yiping Zhang

Rousaida N Kanj

A method for generating a musical composition based on user input is described. A first set of musical characteristics from a first input musical piece is received as an input vector. The first set of musical characteristics is perturbed to create a perturbed input vector as input in a first set of nodes in a first visible layer of an unsupervised neural net. The unsupervised neural net comprised of a plurality of computing layers, each computing layer composed of a respective set of nodes. The unsupervised neural net is operated to calculate an output vector from a higher level hidden layer in the unsupervised neural net. The output vector is used to create an output musical piece.

Cognitive music engine using unsupervised learning

The present disclosure relates to adjusting a reading speed of a memory system. A method for adjusting a reading speed of a memory system, including: generating an alternating sequence signal in which high levels and low levels appear alternately, associated with an output delay of the memory system; generating a reference signal having a predetermined frequency and a reference delay; generating a comparison result signal indicating a range of a difference between an output delay and the reference delay based on an alternating sequence signal and a reference signal; and determining whether a value indicated by a comparison result signal is a predetermined value, so as to adjust the reading speed of the memory system based on a determination result.

Method for adjusting reading speed of memory system, comparison circuit and memory system

A circuit includes a voltage bus, a load, a plurality of switches, a controller, an encoder, a first switch group, and a second switch group. The first switch group is electrically connected between the voltage bus and the load. The second switch group is also electrically connected between the voltage bus and the load. The controller provides a first output signal indicating a required number of switches to be turned on to meet a power demand of the load. The encoder is configured to select a first combination of on/off states of the first switch group and the second switch group based on (i) the first output signal from the controller and (ii) a second combination of on/off states of the first switch group and the second switch group, and in response to selecting the first combination, transmit a switch signal to effect the first combination.

Circuit and method to manage and recover from bias temperature instability

Mechanisms are provided, in a Not AND (NAND) flash memory device, for providing hybrid error correction management. A NAND flash memory module and a node controller coupled to the NAND flash memory module are provided along with a hardware logic implemented error correction code (ECC) engine associated with the node controller. The node controller is configured to determine whether an error count is less than or equal to a first threshold number of error bits and, in response to the error count being less than or equal to the first threshold number of error bits, performing correction of the error bits by the hardware logic implemented ECC engine associated with the node controller. The node controller is also configured to forward uncorrected data to a software logic implemented ECC engine, in response to the error count being greater than the first threshold number of error bits.

Error checking and correction for NAND flash devices

A method for managing a rechargeable battery. The method includes a computer processor identifying a rechargeable battery within a first device. The method further includes a computer processor identifying a battery maintenance policy associated with the rechargeable battery. The method further includes a computer processor determining a first set of models for implementing the identified battery maintenance policy on the identified rechargeable battery based on the identified battery maintenance policy and one or more environmental factors corresponding to the first device. The method further includes a computer processor installing the first set of models in the first device. The method further includes a computer processor performing an intervention action based, at least in part, on a current state of the first set of models and one or more current environmental factors corresponding to the first device.

Smart battery charging to improve the lifespan of batteries

Systems and methods for securing an emergency exit door on an armrest of a seat are provided. A system includes a latch connected to an armrest of a seat of a vehicle. The latch is moveable relative to the armrest between a stowed position and a deployed position. The latch is structured and arranged to engage an edge of a door that is associated with an exit of the vehicle to hold the door on the armrest.

System for securing an aircraft door

A method for generating a musical composition based on user input is described. A first set of musical characteristics is extracted from a first input musical piece. The first set of music characteristics is prepared as an input vector into an unsupervised neural net comprised of a plurality of computing layers by perturbing the first set of musical characteristics according to a user intent expressed in the user input to create a perturbed vector. The perturbed vector is input into the first set of nodes of the unsupervised neural net. The unsupervised neural net is operated to calculate an output vector from a highest set of nodes. The output vector is used to create an output musical piece.

Mechanisms are provided, in a non-volatile memory device comprising a non-volatile memory and a memory controller, for controlling an operation of the non-volatile memory device. The non-volatile memory device receives a single combined memory command for accessing the non-volatile memory. The non-volatile memory device decodes the row address and the column address for the word-line to be accessed by the single combined memory command. The non-volatile memory device accesses the word-line such that at least a most significant bit (MSB) page and a least significant bit (LSB) page are accessed simultaneously.

Simultaneous multi-page commands for non-volatile memories

Growing community of inventors

Austin, TX, United States of America

Jente Benedict Kuang