Honeywell International Inc.

Simplehuman, LLC

Qpiai India Private Limited

Qualcomm Incorporated

Dell Products Inc.

Emc IP Holding Company LLC

Jpmorgan Chase Bank, N.a.

Sachin Kumar

Frank J Yang

Eric Beaupre

Zachary Rapoport

Chetan Machakanoor

Varun Sundar

James D Cook

Brian John Marsh

Mohammed A J Qasimi

Nagendra Nagaraja

Rajeev Arakkal

Aswanth Krishnan

Daniel Dixon

Guy Cohen

Richard Charles Sorenson

Dinesh Kumar Kn

Gary R O'Brien

Nagaraja Sundaresh

Viorel Avramescu

Jim Cook

Ankit Bansal

Sai Krishnan Jagannathan

Hon-Lun Chen

Amol Kinage

Abhijeet Bhattacharya

Sunil M Ingawale

Frank Turnbull

Raviprakash Thotadakumbri

Shrinidhi Katte

Rakesh Muraleedharan Nair

Animesh Tripathy

Karthik Giritharan

Felix Stephen Anthuvan

Srinivasan Rajagopal

Gangi Rajula Reddy

Karthik Prabhu K

Lakshya Priyadarshi

Arpit Jain

Hitesh Daksh

Sajna N Shetty

Jagadeesh Nerambol Voovaiah

A method receiving a dataset including a plurality of images, executing an embedding model using the plurality of images to generate a plurality of image embeddings, clustering the plurality of image embeddings into a plurality of clusters based on similarities between the plurality of image embeddings, determining a density for each cluster based on an aggregate similarity of image embeddings of the cluster, based on the density for each of the plurality of clusters satisfying a criterion, for each cluster: receiving a first set of annotations for one or more pixels of each of a first subset of the images included in the cluster, inputting the annotated first subset of images into a vision transformer with a remaining unannotated subset of images not included in the annotated first subset, and generating a second plurality of annotations for the remaining unannotated subset of images not included in the annotated first subset.

System and method for semi-automated dataset annotation using similarity based clustering and in-context learning for segmentation

Systems and methods for optimizing the placement of experts in a mixture-of-experts (MoE) model are disclosed. A system can include one or more processors coupled to non-transitory memory. The system can obtain a set of attributes of a plurality of hardware components of a distributed computing environment. The system can determine a set of co-activation metrics for a plurality of experts of a mixture-of-experts model according to inference or training operations executed using the mixture-of-experts model. The system can generate a quadratic unconstrained binary optimization (QUBO) data structure based at least on the set of attributes and the set of co-activation metrics. The system can assign the plurality of experts of the mixture-of-experts model to the plurality of hardware components of the distributed computing environment according to the QUBO data structure. The system can execute the mixture-of-experts model using the plurality of hardware components according to the assignment.

Systems and methods for optimizing mixture-of-experts model placement using QUBO-based bin packing

A method and a system for displaying a response to at least one natural language query are disclosed. The method includes receiving the at least one natural language query. The method further includes analyzing, using a trained model, the at least one natural language query to identify an intent and entities associated with the at least one natural language query. The method further includes composing a database-specific query using the identified intent and entities associated with the at least one natural language query. The method includes executing the database-specific query to retrieve the response to the at least one natural language query from at least one database. The method further includes displaying, via a display, the response that is retrieved from the at least one database.

Method and system for displaying a response to a natural language query

A mirror assembly can include a housing, a mirror, and a light source. In certain embodiments, the mirror is rotatable within a support portion of the mirror assembly. In some embodiments, the mirror assembly includes a light pipe configured to emit a substantially constant amount of light along a periphery of the mirror. In some embodiments, the mirror assembly includes a sensor assembly. The sensor assembly can be configured to adjust the amount of emitted light based on the position of a user in relation to the mirror.

Vanity mirror

Various embodiments include methods and devices for a secure execution environment in computing devices. Embodiments may include generating a binary executable file for execution in the secure execution environment by generating hashes of instructions of a function, inserting a start hash instruction and a stop hash instruction in object code of the function, and generating a binary executable having the function including the start hash instruction and the stop hash instruction. Embodiments may include implementing the secure execution environment by generating hashes of instructions of a function in parallel with executing the function, comparing the generated hashes of the instructions of the function to stored hashes of instructions of the function, and issuing an exception indicating to a processor that execution of the function is not secure for any difference between the generated hashes of the instructions of the function and the stored hashes of the instructions of the function.

Mechanism to secure an execution environment in processor cores

Methods, information handling systems and computer readable media are disclosed for prioritizing communications. In one embodiment, a method includes receiving, at a communications prioritization engine including a processor, communication data reflecting a communication. The communication data comprises source information representing a source of the communication. This method embodiment further includes identifying subject characteristic information within the communication data, and determining a subject characteristic score component using the subject characteristic information. The embodiment further includes determining a source score component using the source information and determining a response priority score using the subject characteristic score component and the source score component. The embodiment further includes determining, based on the response priority score, whether the communication data should be forwarded to a response function of the provider, and forwarding the communication data to the response function in response to a determination that the communication data should be forwarded.

Method and system for prioritizing communications responses

A method and system for contraindicating firmware and driver updates. Specifically, the disclosed method and system entail discerning whether installation of a hardware device firmware and/or device driver update, targeting a hardware device on a host device, would succeed or fail given a set of features (or indicators) reflective of the current host device state and metadata respective to the hardware device update. Further, the determination may employ predictive machine learning techniques.

Method and system for contraindicating firmware and driver updates

Various soap dispensers are disclosed. Certain embodiments include a housing, reservoir, pump, motor, sensor, electronic processor, and nozzle. In some embodiments, the pump comprises a peristaltic pump. In certain embodiments, the sensor can be configured to generate a signal based on a distance between an object and the sensor. In certain embodiments, the electronic processor can be configured to receive the signal from the sensor and to determine a dispensation volume of the liquid, such as based on the distance between the object and the sensor. The processor can be configured to control the motor to dispense approximately the dispensation volume of the liquid.

Soap pump

A system, apparatus and method are provided for testing a secondary servo control circuit in a redundant control configuration. A first circuit is configured to receive a control signal and to control an attribute of an actuator based on the control signal using a first control input of the actuator. A second circuit is configured to test operation of an actuator circuit using a test signal. The actuator circuit includes at least part of the second circuit and a second control input of the actuator. The test signal is selected to avoid causing independent motion of the actuator. The actuator could be a dual coil servo valve, and the test signal could be a current (such as a DC current, an AC current, or a pulsed current) having a magnitude less than a bias current of the actuator.

System and method for testing a secondary servo control circuit in a redundant control configuration

A wireless and batteryless pressure sensor apparatus comprises of a SAW sensor and an antenna mounted on a printed circuit board. Optionally, and RFID tag in used in combination with the SAW sensor. A sensor antenna and a RFID antenna can be located on the printed circuit board such that the antennas communicate electrically with the sensor and the RFID device. The sensor can be interrogated utilizing a radio frequency, which is used to excite a SAW crystal inside the sensor. The interrogation signal causes the SAW to resonate wherein a resonant frequency changes with the pressure and temperature that is applied to the sensor. An interrogator can receive a return (echo) signal representing a change in SAW sensor properties (e.g., diaphragm change). A printed circuit board can be mounted on a stainless steel port and overpackaged with standard processes for hermetically sealing the sensor, or sensor and RFID device with at least one antenna.

Surface acoustic wave sensor and package

The SAW sensor in a stainless steel button package having a diaphragm and mounted on a threaded port. Package can hermetically seal a sensor and RFID-antenna assemblies from media. Sensor diaphragm is exposable to media. Sensor and RFID antennas communicate electrically with SAW sensor and RFID device, respectively, for sensor measurements and identification. Antennas receive RF interrogation signal from a nearby interrogator/transceiver and send reflected RF signals back to the interrogator unit containing sensor measurement and sensor ID. TRF signal excites a SAW resonator inside the sensor and causes the SAW to resonate wherein resonant frequency changes with pressure and temperature applied to the sensor. Antennas could be printed circuit board antennas, helical antennas, loop antennas, any other commercially available off-the-shelf antennas or a combination of these.

Core-less current sensor comprises two parallel conductors carrying equal currents in the same direction. The magnetic field in mid location of the two parallel conductors carrying equal currents in the same direction for all current magnitudes is zero in absence of an external magnetic interference. Sum of magnetic fields in two points equidistant from the mid location on both the sides is zero as magnetic fields at these points are equal in magnitude and opposite in polarity for all current magnitudes and for equal amount of currents flowing through both conductors in same direction in absence of an external magnetic interference. Two sensing elements can be arranged between the two parallel conductors for sensing the magnetic field due to currents flowing through them for the purpose of current measurement. Sensor output is the difference between two outputs measured by the sensing elements. Outputs of sensing elements can vary due to external interference. As variation in the outputs of sensing elements due to external interference gets cancelled in sensor output, automatic external field compensation can be achieved.

Core-less current sensor

Growing community of inventors

Bengaluru, India

Sachin Kumar