Abstract: Systems and processes herein integrate a crude separation unit, a steam cracker unit, a hydrocracker unit, an aromatics processing unit, and a pyrolysis gasoline hydrogenation unit for separating a whole crude oil or other wide boiling hydrocarbon mixtures for producing olefins and aromatics.

Abstract: A method for providing an adaptive user interface (UI) navigation on a user equipment (UE) using a machine learning (ML) model is provided.

Abstract: An apparatus includes multiple analog to digital converters. Individual analog to digital converters are configured to produce a digital output from an analog input and configured to compute a least significant bit of the digital output by comparing an internal residual voltage for determination of the least significant bit and a residual voltage from another analog to digital converter.

Abstract: A first circuit is configured to split a first integer value into a first coarse value and a first fine value, and split a second integer value into a second coarse value and a second fine value. A second circuit performs an analog multiply and accumulate (MAC) operation on the first and second coarse values to produce a first analog output, perform an analog MAC operation on the first coarse value and the second fine value to produce a second analog output, perform an analog MAC operation on the first fine value and the second coarse value to produce a third analog output, and perform an analog MAC operation on the first and second fine values together to produce a fourth analog output. A third circuit is configured to perform analog-to-digital (A/D) conversion on and combine the analog output signals to produce a reconstructed digital output signal.

Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Abstract: A method, an electronic device and a non-transitory computer readable medium for securing sensor data are provided. The method comprises: obtaining context information by fetching a plurality of sensor data by a plurality of applications, mapping the plurality of sensor data to the plurality of applications and storing the mapped plurality of sensor data, generating pre-processed information based on the context information and the mapped plurality of sensor data, creating an inference category of the pre-processed information based on the pre-processed information and information from a database, and predicting at least one useful inference and at least one harmful inference of the plurality of sensor data based on the inference category, the context information and the plurality of sensor data.

Abstract: Various embodiments are provided herein for performing a mathematical calculation in a computing environment. A quantization scheme is implemented, allowing at most one (1) non-zero-valued bit in the mantissa of a floating point number.

Abstract: A system for providing real-time automated security scoring for a data platform. The system collects application log data and threat intelligence data in a variety of formats and normalizes the application log data and threat intelligence data. A risk scoring engine uses the normalized application log data, the normalized threat intelligence data, and a risk mapping matrix to generate security score data. Security risk assessment data including the security score data is stored in a shared database so that consumers of the security scoring data can access the security risk assessment data in real-time.

Abstract: Systems, methods and/or interfaces are provided for generating interior design options. In some implementations, the method includes obtaining an inspiration image of a portion of a room, a furniture, fixture and equipment, or a combination. The method also includes parsing the image, including segmenting the inspiration image into sub-images corresponding to each furniture, fixture or equipment. The method also include identifying alternatives based on the sub-images and a layout of the room, including coordinating the alternatives with respect to each other and coordinating the alternatives with respect to the room. The method also includes generating and/or displaying variations of the room with images corresponding to the alternatives.

Abstract: An apparatus of the subject technology includes a housing, a first sensor to obtain a first measurement, an optional second sensor to obtain a second measurement, and a processor to determine a seal-quality metric of the housing based on the first measurement and the second measurement. The first sensor can include an internal pressure sensor disposed inside the housing, and the first measurement can include measurement of an internal pressure of the housing. The second sensor can include an external pressure sensor disposed at an outside wall of the housing, and the second measurement can include measurement of an external pressure.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data, wherein the sensor data is captured by a plurality of sensors within an educational environment. The processor is to: access the sensor data captured by the plurality of sensors: identify a student within the educational environment based on the sensor data: detect a plurality of events associated with the student based on the sensor data, wherein each event is indicative of an attention level of the student within the educational environment: generate a report based on the plurality of events associated with the student; and send the report to a third party associated with the student.

Abstract: An apparatus includes multiple analog to digital converters. Individual analog to digital converters are configured to produce a digital output from an analog input and configured to compute a least significant bit of the digital output by comparing an internal residual voltage for determination of the least significant bit and a residual voltage from another analog to digital converter.

Abstract: An apparatus comprising: a first plurality of inputs representing an activation input vector; a second plurality of inputs representing a weight input vector; an analog multiplier-and-accumulator to generate a first analog voltage representing a first multiply-and-accumulate result for the said first inputs and the second inputs; a voltage multiplier that takes the said first analog voltage and produces a second analog voltage representing, a second multiply-and-accumulate result by multiplying at least one scaling factor to the first analog voltage; an analog to digital converter configured to convert the said second analog voltage multiply-and-accumulate result into a digital signal using a limited-precision operation during a neural network inference operation; and a hardware controller configured to determine the at least one scaling factor based on the first multiply-and-accumulate result, or a software controller configured to determine the at least one scaling factor based on the first multiply-and-acc

Abstract: Provided are a floating-point unit, a system, and method for fused multiply-add logic to process input operands including floating-point values and integer values. A first input operand comprising an integer value and second and third input operands comprising floating-point values are received. The first, second, and third input operands are processed to produce a floating-point result.

Abstract: Provided are a floating-point unit, a system, and method for generating binary integer output or floating-point output based on a selector. A first input operand, a second input operand, a third input operand, and a result format selector value are received. The first input operand, the second input operand, and the third input operand comprise floating-point values. The first input operand, the second input operand, and the third input operand are processed to produce a final result comprising one of a binary integer value and a floating point value based on the result format selector value.

Abstract: Embodiments disclosed herein include optoelectronic systems and methods of forming such systems. In an embodiment the optoelectronic system comprises a board, and a carrier attached to the board. In an embodiment, a first die is on the carrier. In an embodiment, the first die is a photonics die, and a surface of the first die is covered by an optically transparent layer.

Abstract: A SaaS platform to manage a clinical trial is disclosed. The platform enables on-boarding of patients for the clinical trial for one or more clinical research organizations. Such details are necessary for categorisation of the one or more patients. A medical compliance module is set up to capture real time bio-physical parameters indicative of health condition of the patients. The medical compliance module also monitors adherence of each of the patients to the one or more treatment plans designed for the clinical trials. Additionally, a database management module receives, and stores data associated with the clinical trial from the one or more clinical research organisations. Storing of such classified data is being done with specific privacy level for security. An access control module further enables collaborative clinical trial among the one or more clinical research organisations by sharing the data associated with the clinical trial in real-time.

Abstract: Provided is a method, performed by an electronic device, of performing an operation based on bending, the method including: sensing bending that deforms a shape of the electronic device; determining a first region, from which the bending is sensed, from among regions of the electronic device; selecting an object indicated by the first region from at least one object displayed on the electronic device; and performing an operation on the selected object.

Abstract: A multiply-accumulate device comprises a digital multiplication circuit and a mixed signal adder. The digital multiplication circuit is configured to input L m1-bit multipliers and L m2-bit multiplicands and configured to generate N one-bit multiplication outputs, each one-bit multiplication output corresponding to a result of a multiplication of one bit of one of the L m1-bit multipliers and one bit of one of the L m2-bit multiplicands. The mixed signal adder comprises one or more stages, at least one stage configured to input the N one-bit multiplication outputs, each stage comprising one or more inner product summation circuits; and a digital reduction stage coupled to an output of a last stage of the one or more stages and configured to generate an output of the multiply-accumulate device based on the L m1-bit multipliers and the L m2-bit multiplicands.

Abstract: An apparatus comprises at least one processor and at least one memory including instruction code configured to, with the at least one processor, cause the apparatus at least to perform a successive approximation analog-to-digital conversion of an analog input, representing a result of multiplication of first and second vectors, to a digital output by determining an upper bound on the result of multiplication of the first and second vectors, identifying, based at least in part on the determined upper bound, at least a portion of the successive approximation analog-to-digital conversion to be skipped, and skipping the identified portion of the successive approximation analog-to-digital conversion.