Articles by Warren
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So honored to be part of this partnership with NBCUniversal to land Gemini and Google AI's capabilities at the #Olympics! Nenshad Bardoliwalla Jason…
So honored to be part of this partnership with NBCUniversal to land Gemini and Google AI's capabilities at the #Olympics! Nenshad Bardoliwalla Jason…
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Awesome innovation from Meta: #llama31 models on Google Cloud #VertexAI ! - Model-as-a-Service with the 405B model in public preview - Platform and…
Awesome innovation from Meta: #llama31 models on Google Cloud #VertexAI ! - Model-as-a-Service with the 405B model in public preview - Platform and…
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Another great model for our customers to use with excellent tooling. Wenming Ye and Ting Yu thanks for you hard work getting this ready…
Another great model for our customers to use with excellent tooling. Wenming Ye and Ting Yu thanks for you hard work getting this ready…
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Volunteer Experience
Publications
Patents
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Detecting quality of service for unified communication and collaboration (UC and C) on internetworks
Issued US 9413792
QoS support is detected during discovery of potential media paths between a source and a destination by examining the markings of each available media path and selecting a more suitable media candidate based on a set of QoS prioritization rules. Optionally, each endpoint may update a UC&C monitoring service with the QoS results of the candidate list discovery process so that any automated diagnostic and auditing systems can be alerted to any misconfigured Network Elements.
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Dynamically allocating network resources for communication session
Issued US 9596063
A primary call admission controller (CAC) system receives a request from a client to allocate a network resource such as a network bandwidth. The primary CAC system may determine subordinate CAC to delegate the allocation and transfer the request to the subordinate CAC. Subsequently, the subordinate CAC analyzes the communication session attributes to determine an available network resource for the communication session. Upon a positive determination, the subordinate CAC allocates the network…
A primary call admission controller (CAC) system receives a request from a client to allocate a network resource such as a network bandwidth. The primary CAC system may determine subordinate CAC to delegate the allocation and transfer the request to the subordinate CAC. Subsequently, the subordinate CAC analyzes the communication session attributes to determine an available network resource for the communication session. Upon a positive determination, the subordinate CAC allocates the network resource and signals the allocation up the network chain to the primary CAC and the client.
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HIGH-SPEED INTERNAL WIRELESS BUS
Issued US 20080102755
Multiple computing devices are connected together using a high-speed wireless link. The wireless link enables expansion of available resources to the host device, such as one or more of volatile memory resources, non-volatile memory resources, and additional processor resources.
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Feedback and Frame Synchronization between Media Encoders and Decoders
Issued US 20070130493
Feedback and frame synchronization between media encoders and decoders is described. More particularly, the encoder can encode frames that are based on source content to be sent to the decoder. The encoder can determine whether the frame should be cached by the encoder and the decoder. If the frame is to be cached, the encoder can so indicate by encoding the frame with one or more cache control bits. The decoder can receive the frame from the decoder, and can examine the cache control bits to…
Feedback and frame synchronization between media encoders and decoders is described. More particularly, the encoder can encode frames that are based on source content to be sent to the decoder. The encoder can determine whether the frame should be cached by the encoder and the decoder. If the frame is to be cached, the encoder can so indicate by encoding the frame with one or more cache control bits. The decoder can receive the frame from the decoder, and can examine the cache control bits to determine whether to cache the frame. The decoder can also decode the frame.
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Infrastructure for enabling high quality real-time audio
Issued US 7804954 B2
Various technologies and techniques are disclosed that improve media communications. In one embodiment, a media server receives a media communication with a first quality from a personal computer with VoIP telephone capabilities. The media server translates the media (e.g., audio, visual, etc.) communication into a second quality, and forwards the media communication to a communication gateway. The translation to improve communications can also be done when receiving the media communication…
Various technologies and techniques are disclosed that improve media communications. In one embodiment, a media server receives a media communication with a first quality from a personal computer with VoIP telephone capabilities. The media server translates the media (e.g., audio, visual, etc.) communication into a second quality, and forwards the media communication to a communication gateway. The translation to improve communications can also be done when receiving the media communication from the communication gateway for forwarding to the personal computer having VoIP telephone capability. In some embodiments, a media server sits in the communication channel between a personal computer with VoIP telephone capabilities and a communication gateway and is able to translate communications into codec protocols they each understand.
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Network fingerprinting
Issued US 20050086473
A network fingerprinting component for a computerized system issues network identifiers (NID) for computer networks. Identity confidences may be determined for each issued network identifier with respect to current computer networks. Computer network attributes may include passive network attributes and active network attributes. Retrieving values for active network attributes involves generating network traffic. As a result passive network attributes may be available to the network…
A network fingerprinting component for a computerized system issues network identifiers (NID) for computer networks. Identity confidences may be determined for each issued network identifier with respect to current computer networks. Computer network attributes may include passive network attributes and active network attributes. Retrieving values for active network attributes involves generating network traffic. As a result passive network attributes may be available to the network fingerprinting component before active network attributes. Learned identity confidence modifiers may be applied to identity confidences determined independent of active network attributes to achieve more accurate identity confidence sooner.
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Selective pre-authentication to anticipated primary wireless access points
Issued US 10/453,762
A wireless device that adaptively makes the determination of whether or not to pre-authenticate. If the wireless device is running an application that is sensitive to latency (also referred to herein as a low latency application), then pre-authentication is performed and latency is reduced during the switch between wireless access points. Such low latency applications may include voice over IP, video, interactive whiteboard, or video teleconferencing. On the other hand, if the wireless device…
A wireless device that adaptively makes the determination of whether or not to pre-authenticate. If the wireless device is running an application that is sensitive to latency (also referred to herein as a low latency application), then pre-authentication is performed and latency is reduced during the switch between wireless access points. Such low latency applications may include voice over IP, video, interactive whiteboard, or video teleconferencing. On the other hand, if the wireless device is not running a low latency application, the wireless device is less susceptible to latency when making the wireless access point switch. In that case, pre-authentication is not performed and processing and battery resources are preserved.
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INTERACTIVE INPUT SYSTEM, INTERACTIVE BOARD THEREFOR AND METHODS
Filed US 20150277586
An interactive board comprises an interactive surface; at least one user selectable element; and processing structure in communication with at least one imaging device and configured to process data received from said at least one imaging device to locate at least one pointer positioned in proximity with said interactive surface and update digital ink according to pointer location, said processing structure being further configured to send said digital ink to one or more devices in…
An interactive board comprises an interactive surface; at least one user selectable element; and processing structure in communication with at least one imaging device and configured to process data received from said at least one imaging device to locate at least one pointer positioned in proximity with said interactive surface and update digital ink according to pointer location, said processing structure being further configured to send said digital ink to one or more devices in communication with the interactive board in response to selection of said at least one user selectable element.
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Method and system for presenting a video conference using a three-dimensional object
US 20060200518
Languages
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English
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Organizations
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Responsible AI Institute
Member
- PresentGroup of like minded folks working on ethics and responsibility in AI
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ITEC
Board member
- Present
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BOOM! Introducing Meta's #llama31 models on Google Cloud's #VertexAI! The 405B model is our first open model as a service #MaaS offering. You can…
BOOM! Introducing Meta's #llama31 models on Google Cloud's #VertexAI! The 405B model is our first open model as a service #MaaS offering. You can…
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We've just released 2 LangChain integrations powering vector search and RAG applications with BigQuery Vector Search and Vertex AI Feature Store! 💡…
We've just released 2 LangChain integrations powering vector search and RAG applications with BigQuery Vector Search and Vertex AI Feature Store! 💡…
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Grounding is good for ML models too. The Verge - "Google touts ‘enterprise-ready’ AI with more facts and less make-believe" https://lnkd.in/g2cD66F2…
Grounding is good for ML models too. The Verge - "Google touts ‘enterprise-ready’ AI with more facts and less make-believe" https://lnkd.in/g2cD66F2…
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Exciting news for GenAI enthusiasts! 🚀 We've just released a new sample notebook that showcases the power of combining Langchain with Vertex AI…
Exciting news for GenAI enthusiasts! 🚀 We've just released a new sample notebook that showcases the power of combining Langchain with Vertex AI…
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One year ago today, I bought my first road bike! 🚴 Since then, cycling has become a fundamental pillar of my routine and my weekends. 🗓️ Not sure…
One year ago today, I bought my first road bike! 🚴 Since then, cycling has become a fundamental pillar of my routine and my weekends. 🗓️ Not sure…
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Its great to see the expansion of the grounding capabilities within Vertex AI and the inclusion of partner datasets as part of the grounding stack!…
Its great to see the expansion of the grounding capabilities within Vertex AI and the inclusion of partner datasets as part of the grounding stack!…
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🚀 Google Cloud Advances Generative AI Capabilities with Gemini 1.5 on Vertex AI 🚀 See this blog by Amin Vahdat: https://lnkd.in/gqSjpB-z Google…
🚀 Google Cloud Advances Generative AI Capabilities with Gemini 1.5 on Vertex AI 🚀 See this blog by Amin Vahdat: https://lnkd.in/gqSjpB-z Google…
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Grounded in reality.... Nice explanation from Lewis Liu as well https://lnkd.in/gZ4NGZFp
Grounded in reality.... Nice explanation from Lewis Liu as well https://lnkd.in/gZ4NGZFp
Shared by Warren Barkley
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Large language models (LLMs) have been a powerful addition to our lives and the field of AI. In the past year, I've worked with numerous customers…
Large language models (LLMs) have been a powerful addition to our lives and the field of AI. In the past year, I've worked with numerous customers…
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Team members from across BIMM University - central teams and those from the faculties of #digitaltechnologies #music #screenandfilm and…
Team members from across BIMM University - central teams and those from the faculties of #digitaltechnologies #music #screenandfilm and…
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It's an exciting, celebratory post from us today as Glastonbury 2024 has arrived! Every year we are beyond excited to see which of our glorious…
It's an exciting, celebratory post from us today as Glastonbury 2024 has arrived! Every year we are beyond excited to see which of our glorious…
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IT'S ALL ABOUT MO; MOMENTUM! Google #VertexAI has been on a tear for the last 18 months, and today we unveiled a lot of new awesomeness. Some of my…
IT'S ALL ABOUT MO; MOMENTUM! Google #VertexAI has been on a tear for the last 18 months, and today we unveiled a lot of new awesomeness. Some of my…
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We've been assuming bringing the compute closer to data for years, but the next decade might just see data moving closer to compute. Why? The GPU…
We've been assuming bringing the compute closer to data for years, but the next decade might just see data moving closer to compute. Why? The GPU…
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Bigger, faster, better models! https://lnkd.in/geF3Eyii Vishy Tirumalashetty, Jason Gelman, Ting Yu, Shengyang Dai you made this possible.
Bigger, faster, better models! https://lnkd.in/geF3Eyii Vishy Tirumalashetty, Jason Gelman, Ting Yu, Shengyang Dai you made this possible.
Shared by Warren Barkley
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