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

Maxim Novikov

Damian Piotr Modrzyk

Mark Underwood

Eivind Liland

Aaron DeBattista

Alexey Lopich

Kushan Vijaykumar Vyas

Rachel Jean Trimble

Ioan-Cristian Szabo

Ben James

Simon John Craske

Andreas Due Engh-Halstvedt

John Wakefield Brothers

Bruce James Mathewson

Simon James Jones

Jason Parker

Olof Henrik Uhrenholt

Matthew James Horsnell

Erik Persson

Rune Holm

Michael Andrew Campbell

Ian Victor Devereux

Amyas Edward Wykes Phillips

Daryl Wayne Bradley

Donald Kenneth Felton

Michal Bogusz

Hedley James Francis

Peter Brian Wilson

Andrew Mark Nightingale

Jared Smolens

Oskar Lars Flordal

Edward Charles Plowman

Thomas James Cooksey

Roko Grubisic

Philip Carlos Garcia

Peter James Samuel Ferguson

Jens Olson

Yanxiang Wang

Robert Elliott

Quinn Carter

Joe D Tapply

Man Cheung Joseph Yiu

Brian Paul Starkey

Davide Marani

Michel Patrick Gabriel Emil Iwaniec

Julian Katenbrink

Koki Mitsunami

Samuel Marc Town

Ignazio Indovina

Diego Lopez Recas

Andrew Benson

Madhusudan Eyunni

Robert Arnold Calico, Iii

Zhi Feng Lee

Chi-wen Cheng

Pavel Rudko

Benjamin Charles Clark

Judicael Sean Eugene Clair

Wing-Tsi Henry Wong

Joseph Michael Richardson

Mohamed Nour Nader Fathy Abouelseoud

Pawel Duc

Piotr Tadeusz Chrobak

A graphics processor and method of operating a graphics processor to perform rendering followed by post-processing, in which post-processing tasks are permitted to be issued to processing cores of the graphics processor without waiting for all of the rendering tasks to have completed their processing, such that post-processing tasks are processed concurrently with rendering tasks.

Graphics processing

When performing a sequence of rendering jobs, rendering tasks for separate rendering jobs are permitted to overlap within the graphics processor's processing (shader) cores. A record is maintained of which rendering tasks are currently being processed by the graphics processor's processing (shader) cores which record can then be used to enforce any data (processing) dependencies between different rendering jobs.

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

Growing community of inventors

Cambridge, United Kingdom

Daren Croxford