Arm Limited

Apical Limited

Apical Limited and Arm Limited

Other

Arm IP Limited

Apicai Limited

Daren Croxford

Roberto Lopez Mendez

Sharjeel Saeed

Jayavarapu Srinivasa Rao

Sean Tristram LeGuay Ellis

Mathieu Jean Joseph Robart

Lars Ericsson

Sean Tristram Ellis

Piotr Chrobak

Isidoros Sideris

Tom Cooksey

Dominic Hugo Symes

Guy Larri

Ashley Miles Stevens

Andrew Burdass

Laura Johanna Lähteenmäki

Mina Ivanova Dimova

Jørn Nystad

Peter James Aldworth

Ozgur Ozkurt

Damian Modrzyk

Jon Erik Oterhals

Timothy Fawcett Milner

David Hennah Mansell

Mbou Eyole

Daniel Kershaw

Frank Klaeboe Langtind

Edmond John Simon Ashfield

Sheldon James Woodhouse

Graeme Leslie Ingram

Damian Piotr Modrzyk

Eivind Liland

Kushan Vijaykumar Vyas

Aaron DeBattista

Alexey Lopich

Rachel Jean Trimble

Ben James

Ioan-Cristian Szabo

Simon John Craske

Andreas Due Engh-Halstvedt

John Wakefield Brothers

Bruce James Mathewson

Simon James Jones

Jason Parker

Matthew James Horsnell

Erik Persson

Rune Holm

Michael Andrew Campbell

Ian Victor Devereux

Daryl Wayne Bradley

Amyas Edward Wykes Phillips

Donald Kenneth Felton

Michal Bogusz

Maxim Novikov

Hedley James Francis

Peter Brian Wilson

Jared Smolens

Andrew Mark Nightingale

Oskar Lars Flordal

Edward Charles Plowman

Thomas James Cooksey

Roko Grubisic

Peter James Samuel Ferguson

Robert Elliott

Jens Olson

Quinn Carter

Yanxiang Wang

Davide Marani

Man Cheung Joseph Yiu

Brian Paul Starkey

Joe D Tapply

Julian Katenbrink

Michel Patrick Gabriel Emil Iwaniec

Ignazio Indovina

Samuel Marc Town

Koki Mitsunami

Zhi Feng Lee

Judicael Sean Eugene Clair

Benjamin Charles Clark

Pavel Rudko

Diego Lopez Recas

Robert Arnold Calico, Iii

Pawel Duc

Chi-wen Cheng

Madhusudan Eyunni

Andrew Benson

Mohamed Nour Nader Fathy Abouelseoud

Example methods, apparatuses, and/or articles of manufacture are disclosed that may implement, in whole or in part, techniques to process portions of an image frame according to a level of diminished signal information. Portions of an image frame experiencing diminished signal information may be sampled a lower rate/more sparsely to reduce impacts to downstream image processing resources.

System, devices and/or processes for adaptive image resolution scaling

A processing unit is provided which comprises volatile storage for storing machine learning data in binary representation, and a data processing engine communicatively coupled to the volatile storage. The processing unit is configured to selectively invert the bit values in binary representations of portions of the machine learning data when performing storage operations using the volatile storage. A computer-implemented method, and non-transitory computer-readable storage medium comprising instructions for executing the method are also provided. The method comprises receiving a request to perform a storage operation on the volatile storage using the machine learning data and performing the storage operation, including, selecting a portion of the machine learning data and inverting bit values in a binary representation of the selected portion. A computer-implemented method comprising receiving a request to store machine learning data on volatile storage and storing the machine learning data is also provided. Storing the machine learning data includes operating on at least a portion of the machine learning data to prioritize one of two potential bit values.

Selective bit inversion in storage operations for machine learning

There is provided a data processing apparatus for performing machine learning. The data processing apparatus includes convolution circuitry for convolving a plurality of neighbouring regions of input data using a kernel to produce convolution outputs. Max-pooling circuitry determines and selects the largest of the convolution outputs as a pooled output and prediction circuitry performs a size prediction of the convolution outputs based on the neighbouring regions, wherein the size prediction is performed prior to the max-pooling circuitry determining the largest of the convolution outputs and adjusts a behaviour of the convolution circuitry based on the size prediction.

Convolution size prediction to reduce calculations

Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more processing devices to facilitate and/or support one or more operations and/or techniques for authenticating an identity of a subject. In particular, some embodiments are directed to techniques for authentication of an identity of a subject as being an identity of a particular unique individual based, at least in part, on involuntary responses by the subject to sensory stimuli.

Electronic authentication system, device and process

A data processor is disclosed in which groups of execution threads comprising a thread group can execute a set of instructions in lockstep, and in which a plurality of execution lanes can perform processing operations for the execution threads. In response to an execution thread issuing circuit determining whether a portion of active threads of a first thread group and a portion of active threads of a second thread group use different execution lanes of the plurality of execution lanes, the execution thread issuing circuit issuing both the portion of active threads of a first thread group and a portion of active threads of a second thread group for execution. This can have the effect of increasing data processor efficiency, thereby increasing throughput and reducing latency.

Apparatus and method of optimizing divergent processing in thread groups preliminary class

Systems, apparatuses, devices and methods for body pose tracking are provided that are simple, inexpensive, flexible, accurate and robust. One body pose tracking system includes a mobile device, such as a smartphone, and active or passive marker bands. Images and depth information captured by the smartphone may be analyzed using an Inverse Kinematic (IK) model, and, in certain cases, the IK model solution may be augmented by machine learning. Other body pose tracking systems include an augmented-reality/virtual-reality (AR/VR) head-mounted-display (HMD) and/or AR/VR glasses rather than a smartphone. An AR/VR HMD device may include a depth sensor and multiple environment-facing cameras.

Body pose tracking system and method

There is provided a display apparatus to focus light for a user. The apparatus comprises a tuneable lens having controllable optical properties, an eye-tracker device to determine a position at which the user is looking, and circuitry to control the optical properties of the tuneable lens to bring an object at the depth of the position into focus for the user. A method of focusing light is also provided. The method comprises determining a position at which the user is looking and controlling optical properties of a tuneable lens to bring an object at the depth of the position into focus for the user.

Apparatus and method of focusing light

A computer-implemented method for an augmented-reality system is provided. The computer-implemented method comprises obtaining sensed data, representing an environment in which the AR system is located, determining that the AR system is in a location associated with a first authority characteristic, and controlling access to the sensed data for one or more applications operating in the AR system. Each of the one or more applications is associated with a respective authority characteristic. Controlling access to the sensed data for a said application is performed in dependence on the first authority characteristic and a respective authority characteristic associated with the said application. An AR system comprising one or more sensors, storage for storing sensed data, one or more application modules, and one or more processors arranged to perform the computer-implemented method is provided. A non-transitory computer-readable storage medium comprising computer-readable instructions for performing the computer-implemented method is also provided.

Augmented reality system

The present disclosure relates to a method of operating a graphics processing system for providing frames over communication channel in a communication network, the graphics processing system being configured to process data for an application executed thereon to render frames for the application to be output for transmission over the communication channel to a client device, the method comprising: determining network characteristics of the communication network and/or server characteristics of the server; adaptively selecting a first prediction method from a plurality of prediction methods to be used for displaying frames based on the determined network characteristics and/or server characteristics; generating a plurality of frames based on the first prediction method; and selectively providing, based on the first prediction method, one or more output frames from the plurality of frames to the application to be output for transmission over the communication channel.

Graphics processing system

A head-mounted unit for assisting a user, such as a hearing-impaired user, is provided. The head-mounted unit comprises tracking sensors for monitoring a user wearing the head-mounted unit in order to determine a gaze direction which the user is looking. A sensor detects a sound source located in the identified gaze direction. Sound from the sound source may be recognised using speech recognition on captured audio from the sound source or computer vision on images of the sound source. A user interface provides information to the user to assist the user in recognising sound from the sound source.

Method and head-mounted unit for assisting a hearing-impaired user

A graphics processing system and method of operating a graphics processing system that generates 'spacewarped' frames for display is disclosed. Motion vectors are used to determine the motion of objects appearing in rendered application frames. The so-determined motion is then used to generate “spacewarped” versions of the rendered application frames.

Graphics processing systems

An information processing apparatus is described for processing a workload. The information processing apparatus comprises a processor and a memory element connected to the processor via a data link. In advance of processing a workload, the information processing apparatus estimates an access time required to transfer an amount of the workload that is to be transferred from the external memory element to the processor, and estimates a processing time for the processor to process the workload. A processing rate characteristic of the processor and/or a data transfer rate between the memory and the processor is set in dependence upon the estimated processing time and estimated access time. Methods for varying a quality of service (QoS) value of requests to the external memory element are also described.

Information processing apparatus and a method for processing a workload

Subject matter disclosed herein may relate to storage and/or processing of signals and/or states representative of neural network parameters in a computing device, and may relate more particularly to configuring circuitry in a computing device to process signals and/or states representative of neural network parameters.

Systems and devices for configuring neural network circuitry

There is provided a method and apparatus to generate audio data for a user, the apparatus comprising: an input device to receive one or more inputs derived from an environment in which the user is located; and a processor configured to obtain an acoustic profile for the environment based on or in response to the one or more inputs, synthesize audio data having audio characteristics corresponding to a sound source in the environment in accordance with the acoustic profile, and output the synthesized audio data for use by the user.

Apparatus and method to generate audio data

A device has a content processing component operable in a content processing state, and a content transducer configured to provide augmented reality data to a user of the device based on an output of the content processing component. The device has a receiver operable to receive captured data indicative of a health condition of a user of the device. The device has a processor configured to process the captured data to identify a trigger indicative of a possible change in the health condition of a user, and in response to the trigger, modify the content processing state of the content processing component such that at least one characteristic of the augmented reality data is modified.

Devices and headsets

Growing community of inventors

Cambridge, United Kingdom

Daren Croxford