Hewlett-packard Development Company, L.p.

Advanced Micro Devices Corporation

International Business Machines Corporation

Anomali Inc.

Harmonic, Inc.

Lsi Logic Corporation

Hitachi, Ltd.

Honeywell International Inc.

Western Digital Technologies, Inc.

Other

Microsoft Technology Licensing, LLC

Entit Software LLC

Wei T Huang

Gary Joseph Dispoto

Yizheng Zhou

Indrani Paul

Malcolm Scott Allen-Ware

John Bruce Carter

Steven J Simske

Manish Arora

Guillermo Jesus Silva

Hugh S Njemanze

Xudong An

Karthick Rajamani

Yasuko Eckert

Charles Robert Lefurgy

Leonardo Piga

Karthik Rao

Lihua Zhao

Jun Zeng

Wenting Tang

Ingeborg Tastl

Christian Friedrich Beedgen

Bin Yu

Li-Ping Chen

Abhinandan Majumdar

Su Liu

Michael Stephen Floyd

Malcolm Scott Ware

Shunguo Yan

Freeman Leigh Rawson, Iii

Chetan Kumar Gupta

Sanjay Subbarao

Elmootazbellah Nabil Elnozahy

Alan J Drake

Craig Peter Sayers

Jian Li

Yan Zhao

Joseph Lee Greathouse

Ken Nguyen

Anwar Ali

Shomit N Das

Joseph T Kennedy

Sanjay Ramakrishna Pillay

Huajun Wen

Ahmed Khairy Farahat

Melanie M Gottwals

Leonardo De Paula Rosa Piga

Jieming Yin

Kshitij Sudan

Mohsen Imani

Muhammad Shoaib Bin Altaf

Zhong Deng

Thomas C Lam

Brian J Kocoloski

Peizhou Guo

William J Rooney

Peter Bergersen Yocom

K Paul Muller

Andrew Gregory Kegel

Peter John Potrebic

Nathan McPherson Moroney

Todd Jon Rosedahl

Ronald Perez

Srilatha Manne

Daniel J Kearney

Emmanuel Yashchin

Bo Li

Heather Lynn Hanson

Eric G Hanson

Sebastia Cortes I Herms

Timothy Glen Hallett

Rathijit Sen

Tauman T Lau

Miguel Rodriguez

Scott J Hadderman

Glenn Rueban Miles

Max M Yeung

Jason T Stuck

Scott White

Yazhou Zu

Hamed Khorasgani

Ronald R Katsanes

Samuel Lawrence Wasmundt

Kim Do

Paul Meyrueix

Can Hankendi

Akanksha Jain

Shijun Wu

Yaping Liu

Jingwei Liang

Steve Chan

Yuriy Shkelev

Indrain Paul

Patrick Daney De Marcillac

Evan Wright

Fadi M Kassem

Akshay Kumar

Jianguo Jiang

Examples of methods are described. In some examples, a method may include printing a first solid material phase region. In some examples, the method may include printing a second solid material phase region distanced from the first solid material phase region. In some examples, the method may include printing a plurality of distanced beams, each having a thickness that is not more than one millimeter, to form a weak material phase region between the first solid material phase region and the second solid material phase region. In some examples, the weak material phase region has a volumetric density less than one.

Weak material phases

In some examples, thermal aware optimization logic determines a characteristic (e.g., a workload or type) of a wavefront (e.g., multiple threads). For example, the characteristic indicates whether the wavefront is compute intensive, memory intensive, mixed, and/or another type of wavefront. The thermal aware optimization logic determines temperature information for one or more compute units (CUs) in one or more processing cores. The temperature information includes predictive thermal information indicating expected temperatures corresponding to the one or more CUs and historical thermal information indicating current or past thermal temperatures of at least a portion of a graphics processing unit (GPU). The logic selects the one or more compute units to process the plurality of threads based on the determined characteristic and the temperature information. The logic provides instructions to the selected subset of the plurality of CUs to execute the wavefront.

Apparatus and method for providing workload distribution of threads among multiple compute units

A device comprising a material distributor and a fluid dispenser. The material distributor to distribute a build material, layer-by-layer, to form a 3D object. A fluid dispenser to selectively dispense in at least some of the respective layers a first fluid agent and a second fluid agent. The first fluid agent, comprising a first color, is to be dispensed at first selectable voxel locations to affect a first material property of a first portion of the 3D object. The second fluid agent, comprising a second color, is to be dispensed at second selectable voxel locations to at least partially disguise the first color of the first portion of the 3D object.

Disguising color in 3D object formation

In example implementations, a method is provided. The method includes printing a three-dimensional (3D) object that includes a secondary structure. The secondary structure is removed. A representation of a surface of the 3D object where the secondary structure was removed is captured. The 3D object is authenticated based on the representation of the surface.

Identification of 3D printed objects

An example system includes an object and a support frame supporting the object. The support frame constrains movement of the object relative to the support frame, and the support frame includes at least one of a cage or a shackle to non-rigidly constrain movement of at least a part of the object.

Product framing

According to examples, a three-dimensional (3D) fabrication system may include a controller that may control an agent delivery system to deposit a fusing agent onto a fusing area of a layer of particles of build material. The controller may also control the agent delivery system to deposit an energy absorbing agent onto an unfused thermal support area of the layer of particles, the unfused thermal support area being located adjacent to the fusing area. The controller may further control an energy supply system to supply energy, in which supply of the energy is to cause the particles on which the fusing agent has been deposited to melt and a temperature of the particles in the unfused thermal support area to be raised to a level that is below a melting point temperature of the particles.

Unfused thermal support area in 3D fabrication systems

In an example, a method is described that includes generating a model for fabricating an item via an additive manufacturing process. The model includes a first region defining the item and a second region defining a sacrificial artifact whose presence disguises a physical characteristic of the item. The item and the sacrificial artifact are then fabricated in a common build batch via the additive manufacturing process.

Additive manufacturing process to disguise physical characteristics of item

According to examples, a three-dimensional (3D) fabrication system may include a controller to identify a feature of an object to be fabricated and based on the identified feature having a size that is smaller than a predefined size, determine a thermal support for the identified feature. The controller may also control fabrication components to form, through application of energy, the determined thermal support from a first set of particles, form an intermediate section adjacent to the formed thermal support from a second set of particles, and form, through application of energy, the feature adjacent to the intermediate section from a third set of particles, in which heat from the thermal support is to reduce a thermal bleed rate of the third set of particles.

Thermal supports for 3D features formed from particles

In an example, a method is described that includes generating a model for fabricating an object via an additive manufacturing process. The model includes a first region defining the object and a second region defining a sacrificial artifact. The object is fabricated via the additive manufacturing process, using a fusing printing fluid. The sacrificial artifact is fabricated simultaneously with fabricating the object, via the additive manufacturing process, using a non-fusing printing fluid.

Additive manufacturing process using fusing and non-fusing printing fluids

A device includes a material dispenser and a fluid dispenser. The material dispenser is to dispense a build material layer-by-layer, to at least partially additively form a first 3D object. The fluid dispenser is to dispense at least one fluid agent at selectable exterior voxel locations of the respective layers to at least partially define an external surface of the first 3D object as a first color to represent a first non-color material property of at least a first portion of the first 3D object. The selection of the first color is independent of characteristics of the first non-color material property.

Color representation of a property of a 3D object

In an example, a method includes operating, by a processor, on object model data and operating, on a processor, on pattern data. The object model data describes at least part of an object to be generated in additive manufacturing and the pattern data describes an object pattern intended to be formed on at least a portion of the part of the object to be generated in additive manufacturing. The method includes determining, by a processor, control data to control a print agent applicator to apply a pattern of fusing agent onto a part of a layer of build material. The pattern of fusing agent comprises a fusing agent area and a gap area that lacks fusing agent. The gap area corresponds to the object pattern such that no fusing agent is applied to a part of the layer of build material that corresponds to the object pattern.

Patterns on objects in additive manufacturing

A 3D object is additively formed via arranging non-conductive material relative to a receiving surface. During additive formation of the 3D object, a conductive channel is formed as part of the 3D object. In some instances, non-destructive fracture sensing is performed via measurement of an electrical parameter of the conductive channel.

Additively formed 3D object with conductive channel

Example implementations described herein involve a new data-driven analytical redundancy relationship (ARR) generation for fault detection and isolation. The proposed solution uses historical data during normal operation to extract the data-driven ARRs among sensor measurements, and then uses them for fault detection and isolation. The proposed solution thereby does not need to rely on the system model, can detect and isolate more faults than traditional data-driven methods, can work when the system is not fully observable, and does not rely on a vast amount of historical fault data, which can save on memory storage or database storage. The proposed solution can thereby be practical in many real cases where there are data limitations.

System and method for data-driven analytical redundancy relationships generation for early fault detection and isolation with limited data

A system and a method are disclosed for describing a mechanism for tracking malicious activity detected on a network. For example, based on network data collected from a server, the disclosed system may detect malicious activity originating from a client device directed to the server. To detect the malicious activity, network data may be captured by the server and analyzed. When malicious activity is detected, the system may track the malicious activity, using the network data, to an earliest connection date of a client device from where the malicious activity potentially originated. The earliest connection date may indicate a potential start date of the malicious activity.

Network data timeline

According to examples, an apparatus may include a fabricating system, a processor, and on memory on which are stored machine readable instructions. The instructions, when executed by the processor, may cause the processor to control the fabricating system to spread a first layer of build material as part of an object fabrication process, the build material comprising particles or a paste. The instructions may also cause the processor to control the fabricating system to selectively solidify a first area of the layer to a higher degree of solidification than a predefined second area encompassed by the first area, in which the predefined second area has a lower fracture toughness than the first area to propagate a crack in the object more readily than the first area.

Fabrication of objects having different degree of solidification areas

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Morristown, NJ, United States of America

Wei T Huang