Qualcomm

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Qualcomm Enables Amazing Consumer Experiences with the New Snapdragon 730, 730G and 665 Mobile Platforms for High and Mid Tier Global Devices

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Elevating New Experiences in Artificial Intelligence, Camera and Gaming April 9, 2019 – San Francisco – Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM), announced that it has expanded its mobile roadmap in the 7 and 6 series to include the latest Qualcomm® Snapdragon™ 730, 730G and 665 Mobile Platforms. These platforms are […]

Qualcomm Enables Amazing Consumer Experiences with the New Snapdragon 730, 730G and 665 Mobile Platforms for High and Mid Tier Global Devices Read More +

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Qualcomm Launches New Platform Aimed to Transform the Robotics Industry

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Qualcomm® Robotics RB3 Platform is Designed to Help Manufacturers and Developers Create a New Wave of Innovative, Smart, Power-Efficient Consumer, Enterprise, and Industrial Robots Feb 25, 2019 – Barcelona – Qualcomm Technologies, Inc. a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM), today announced its Qualcomm Robotics RB3 Platform – the Company’s first integrated, comprehensive offering designed

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Artificial Intelligence Engine in Qualcomm Snapdragon 855 Mobile Platform Powers On-Device AI User Experiences in Flagship Premium-Tier Smartphones

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Qualcomm AI Software and Cloud Ecosystem Expands to Satisfy Increasing Demand for Intelligent and Immersive Real-time Mobile AI Features Feb 25, 2019 – Barcelona – At Mobile World Congress, Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM), announced that the 4th Generation Qualcomm® Artificial Intelligence (AI) Engine is supporting the surge of on-device

Artificial Intelligence Engine in Qualcomm Snapdragon 855 Mobile Platform Powers On-Device AI User Experiences in Flagship Premium-Tier Smartphones Read More +

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Qualcomm Enables The Next Generation of Immersive Compute with Ecosystem Collaboration for XR Viewers for 5G Smartphones

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Company and Top Mobile Ecosystem Players Come Together to Deliver XR Viewers Tethered to Compatible Qualcomm Snapdragon 855 Smartphones Feb 25, 2019 – Barcelona – Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM) announced today at Mobile World Congress, broad ecosystem support from world-leading OEMs, operators, and platform providers to deliver the next

Qualcomm Enables The Next Generation of Immersive Compute with Ecosystem Collaboration for XR Viewers for 5G Smartphones Read More +

“Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms,” a Presentation from Qualcomm

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Sahil Bansal, Senior Director of Product Management at Qualcomm, presents the “Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms” tutorial at the May 2018 Embedded Vision Summit. Advancements in machine learning are making it possible to equip devices such as connected cameras, robots, drones and smart home solutions with improved on-device vision

“Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms,” a Presentation from Qualcomm Read More +

“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research

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Evgeni Gousev, Senior Director at Qualcomm Research, presents the "Always-On Vision Becomes a Reality" tutorial at the May 2017 Embedded Vision Summit. Intelligent devices equipped with human-like senses such as always-on touch, audio and motion detection have enabled a variety of new use cases and applications, transforming the way we interact with each other and

“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research Read More +

“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research

Algorithms, Face Detection, Gesture Control, Object Identification, Object Tracking, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Evgeni Gousev, Senior Director at Qualcomm Research, presents the "Always-On Vision Becomes a Reality" tutorial at the May 2017 Embedded Vision Summit. Intelligent devices equipped with human-like senses such as always-on touch, audio and motion detection have enabled a variety of new use cases and applications, transforming the way we interact with each other and

“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research Read More +

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies

Algorithms, Augmented Reality, Entertainment, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit. Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies Read More +

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies

Algorithms, Augmented Reality, Entertainment, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit. Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies Read More +

“Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP,” a Presentation from Google

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Pete Warden, Research Engineer at Google, presents the "Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP" tutorial at the May 2017 Embedded Vision Summit. TensorFlow is Google’s second-generation deep learning software framework. TensorFlow was designed from the ground up to enable efficient implementation of deep learning algorithms at different scales, from high-performance data

“Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP,” a Presentation from Google Read More +

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PO Box #4446
Walnut Creek, CA 94596

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