Dell Products Inc.

Daniel Lawrence Hamlin

Vivek Viswanathan Iyer

Charles D Robison

Srikanth Kondapi

Todd Erick Swierk

Charles Delbert Robison, Jr

Manuel Novoa

Minhaj Ahmed

Travis Christian North

Ibrahim Sayyed

Suraj M Varma

Gokul Thiruchengode Vajravel

Yagiz Can Yildiz

Nikhil Manohar Vichare

Danilo Ong Tan

Yung-Sheng Lin

Hariprasad Janardana Iyer

Shekar Babu Suryanarayana

Timothy Carlyle Shaw

Nicholas Diciurcio Grobelny

Joseph Kozlowski

Allen Brian McKittrick

Christian L Critz

Amy Christine Nelson

James T Gillon

Warren Wade Robbins

Deeder M Aurongzeb

John Trevor Morrison

Jace William Files

Adolfo Sandor Montero

Michiel Sebastiaan Emanuel Petrus Knoppert

Ricardo Luis Martinez

Geroncio Ong Tan

Andrew T Fausak

Srinivas Kamepalli

Ryan Nicholas Comer

Frank Howard Molsberry

James Damon Trim

Fernando L Guerrero

Joshua Alperin

Preeth Kartikeyan Srinivasan

Carrie Elaine Gates

Frank Quintanilla, Iii

Kenneth Wade Stufflebeam

Andelon Xuan Tra

Barry Paul Easter

Malathi R

Julia A Ogbevoen

Mandy Christina Phelps

Shun-Tang Hsu

Pradeep Gopal

Parminder Singh Sethi

Peng Lip Goh

Sumanth Vidyadhara

Balasingh Ponraj Samuel

Anand Prakash Joshi

Stefan Peana

Abu Shaher Sanaullah

John Kelly

Richard William Schuckle

Kai Wang

Girish S Dhoble

Harpreet S Narula

Vivekanandh Narayanasamy Rajagopalan

Ankit Kumar

Marcin M Nowak

Karun Palicherla Reddy

Bryan James Thornley

Rohit Gosain

Jonathan C Giffen

Brijesh Kumar Mishra

Yao-Hsien Huang

Keith M Alfano

Sinem Kockan

Justin Walter Johnson

Maheshwar Dattatri

Chad Skipper

Yao Hsien Huang

Alberto Nieves

Nathan Benjamin Buch

Banu Alpay Waldman

Juan C Agudelo

Thippeswamy D R

Jeffrey S Myers

Janardan Pradeep Gopal

Disclosed systems and methods support dynamic HMB mapping at runtime to ensure seamless access across an array of NVMe drives. Disclosed systems and methods may feature a runtime workload context-aware memory reference protocol that provides a dynamic way to adjust the size of HMB as well internal memory regions based on the workload of an application, VM, or container. In at least some embodiments, disclosed systems and method detect an NVMe drive swap or removal event and dynamically retain, merge, adjust the HMB regions.

Context-aware firmware-mapped host memory buffer (HMB) management system

An information handling system may determine a pre-boot security posture, and update an advanced configuration and power interface mitigation table with the pre-boot security posture. The system may also update a security mitigation table based on a security mitigation policy, and determine a security mitigation based on a protection flag in the advanced configuration and power interface mitigation table and the security mitigation table.

Pre-boot context-based security mitigation

Systems and methods for managing processors of a heterogenous computing platforms of IHS (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in a context of operation of the IHS by a user and. Based on the context, the orchestrator determines power allocations for the two or more discrete processors, where the power allocations are mapped to the reported user context. The orchestrator configures the power that is available for use by each of the two or more discrete processors of the heterogeneous computing platform, and thus adjusts the performance of the processors in response to the change in user context.

Systems and methods for adaptive management of processors of a heterogeneous computing platform

Systems and methods for capturing, recording, storing, and transmitting images in response to Onlooker Detection events in heterogeneous computing platforms are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform and a memory coupled to the heterogeneous computing platform, where the memory includes a plurality of sets of firmware instructions, where each of the sets of firmware instructions, upon execution by a respective device among a plurality of devices of the heterogeneous computing platform, enables the respective device to provide a corresponding firmware service, and where at least one of the plurality of devices operates as an orchestrator configured to: identify a positive Onlooker Detection event; and in response to the identification, trigger at least one of: capture, recording, storage, or transmittal of an image via another one of the plurality of devices.

Systems and methods for capturing, recording, storing, and transmitting images in response to onlooker detection events in heterogeneous computing platforms

Systems and methods for managing collaboration settings in a heterogenous computing platform are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a heterogeneous computing platform comprising a plurality of devices, and a memory coupled to the heterogeneous computing platform, where the memory comprises a plurality of sets of firmware instructions, where each set of firmware instructions, upon execution by a respective device, enables the respective device to provide a corresponding firmware service, and where at least one of the plurality of devices operates as an orchestrator configured to receive a policy that indicates a collaboration setting and apply the collaboration setting to a selected one of the plurality of devices.

Management of collaboration settings in a heterogenous computing platform

A keyboard of an information handling system includes keyboard (RF) transmitter/receiver that provides range information for a mobile device paired to the keyboard RF transmitter/receiver. A keyboard controller is coupled to the keyboard RF transmitter/receiver and is responsive to the range information indicating the mobile device is out of range to disable key input data of the keyboard. After the key input data is disabled, the keyboard controller enables the key input data responsive to the range information indicating the mobile device has come back into range. The keyboard RF transmitter/receiver communicates with a host RF transmitter/receiver over a first RF channel and communicates with the mobile device over a second RF channel. The keyboard controller enables the key input data responsive to a successful override of the keyboard input data being disabled. The override is a predetermined key sequence and/or a valid finger print.

Secure keyboard with auto key lock using mobile device signal range tracking

Embodiments of systems and methods for orchestrating the execution of Machine Learning (ML) workloads are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive an indication of an ML workload to be executed by the IHS; and orchestrate execution of the ML workload with respect to a plurality of ML resources coupled to the IHS.

Orchestration of machine learning (ML) workloads

Systems and methods are provided for utilizing a heterogeneous computing platform of an IHS (Information Handling System) to provide content-based mitigation of risks posed by onlookers to content displayed by the IHS. An orchestrator device of the IHS uses resources of the heterogeneous computing platform to detect an onlooker in proximity to the IHS. A gaze of the onlooker is determined and one or more user interfaces are identified that are displayed by the IHS and that are within the gaze of the onlooker. The content displayed by these user interfaces within the gaze of the onlooker is evaluated for indications of private information being displayed. Onlooker mitigation procedures are initiated in these user interfaces that are within the gaze of the onlooker and that display content that includes indications of private information.

Systems and methods for content-based onlooker mitigation

An information handling system includes a display device and a processor. The display device outputs pixels associated with a text font. The processor converts red, green, blue (RGB) pixels to image perspective transformation (IPT) pixels. The processor further sharpens one or more of the IPT pixels that do not have color. The sharpening of the one or more of the IPT pixels identifies edges of the text font and defines widths of the text font. The processor corrects edge overshoot and edge undershoot created by a digital filter. The edge overshoot and the edge undershoot are corrected for each IPT pixel associated with the text edges. The processor also reduces noise enhancement in the sharpened IPT pixels, retains grey text portions of each of the sharpened IPT pixels, and converts the IPT pixels to new RGB pixels. The processor outputs the new RGB pixels to the display device.

Text sharpening for legibility enhancement or display power savings

Systems and methods for firmware-based switching between user profiles in a heterogenous computing platform. In an illustrative, non-limiting embodiment, an Information Handling System may include: a heterogeneous computing platform comprising a plurality of devices, and a memory coupled to the platform having a plurality of sets of firmware instructions, where each of the sets of firmware instructions, upon execution by a respective device, enables the respective device to provide a firmware service, and at least one of the devices operates as an orchestrator configured to: execute or instruct a device to execute an Artificial Intelligence model configured to produce an inference result based, at least in part, upon context or telemetry data received from a subset of the plurality of devices; select one of a plurality of user profiles based upon the inference result; and apply a setting associated with the selected user profile to a selected device.

Firmware-based switching between user profiles in a heterogeneous computing platform

A system for selective protection of display screen content, wherein the system may be configured to receive input data that includes sensor data from a user presence detection sensor to detect presence of at least two users within a field of view of a display screen. The system also may determine whether an application includes sensitive content is on display. In addition, the system may determine a security management action as defined by a display security policy based on the presence of the at least two users within the field of view of the display screen and determine whether the application sensitive content is on display at the display screen. In response to a determination to apply the security management action, the system may perform the security management action to protect the sensitive content at the display screen.

Selective display information security system

Detection, aggregation, and distribution of user and team effectiveness includes detecting, using one or more machine learning algorithms, user fatigue levels, based, at least in part, on detected attributes and evaluating and/or classifying, using one or more machine learning algorithms, user fatigue levels, based, at least in part, on detected attributes. Detection, aggregation, and distribution of user and team effectiveness further includes creating, using a plurality of artificial intelligence algorithms, a plurality of inference models, based at least in part on detected and evaluated and/or classified user fatigue levels, predicting, by a machine learning predictive services algorithm, using the plurality of created inference models, user effectiveness at different intervals, and providing, by the machine learning predictive services algorithm, effectiveness weights for requested collaboration sessions that include the user.

Detection, aggregation, and distribution of user and/or team effectiveness utilizing fatigue detection from online collaboration

In systems and methods for configuration of a workspace based on short-range wireless location mapping in heterogeneous computing platforms, an Information Handling System (IHS) may include a heterogeneous computing platform that includes a plurality of devices and a memory coupled to the heterogeneous computing platform, where the memory may include a plurality of sets of firmware instructions, where each of the sets of firmware instructions, upon execution by a respective device among the plurality of devices, enables the respective device to provide a corresponding firmware service. Therein, at least one of the plurality of devices operates as an orchestrator configured to collect IHS peripheral location map information from a firmware service running in a wireless peripheral modem device and distribute configuration settings to firmware services running in firmware of one or more devices of the plurality of devices for configuration of the devices and IHS peripherals.

Systems and methods for configuration of a workspace based on short-range wireless location mapping in heterogeneous computing platforms

Contextual language selection for live transcription of collaboration session audio in heterogenous computing platforms. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform comprising a plurality of devices and a memory coupled to the heterogeneous computing platform, where the memory comprises a plurality of sets of firmware instructions, where each set of firmware instructions, upon execution by a respective device, enables the respective device to provide a corresponding firmware service, and where at least one of the plurality of devices operates as an orchestrator configured to identify a collaboration persona and change a live transcription setting of a collaboration session based upon the collaboration persona.

Contextual language selection for live transcription of collaboration session audio in heterogenous computing platforms

Systems and methods for accident detection and handling are described. In some embodiments, an Information Handling System (IHS) may include an Embedded Controller (EC), and a memory coupled to, or integrated into, the EC, where the memory comprises program instructions that, upon execution by the EC, cause the EC to, in response to a determination that the IHS suffered an accident prior to a reboot, transmit an indication of the accident to a remote service during the reboot.

Systems and methods for accident detection and handling

Growing community of inventors

Round Rock, TX, United States of America

Daniel Lawrence Hamlin