Don’t let data drift derail edge compute machine learning models

Edge computing has come of age, with deployments enabling many applications that process data from IoT sensors and cameras. In 2017, we identified the symbiotic relationship between edge computing and video analytics in an article, noting that live video analytics is the “killer app” for edge computing. Edge devices come in various shapes and sizes but are inherently resource-constrained relative to  

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Just Tech: Centering Community-Driven Innovation at the Margins Episode 3 with Dr. Sasha Costanza-Chock

Episode 135 | April 13, 2022 In “Just Tech: Centering Community-Driven Innovation at the Margins,” Senior Principal Researcher Mary L. Gray explores how technology and community intertwine and the role technology can play in supporting community-driven innovation and community-based organizations. Dr. Gray and her team are working to bring computer science, engineering, social  

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Jigsaw fixes bugs in machine-written software

Large pre-trained language models such as GPT-3, Codex, and others can be tuned to generate code from natural language specifications of programmer intent. Such automated models have the potential to improve productivity for every programmer in the world. But since the models can struggle to understand program semantics, the quality of the resulting code can’t be guaranteed. In our research paper, Jigsaw:  

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Just Tech: Centering Community-Driven Innovation at the Margins episode 2 with Dr. Tawanna Dillahunt, Zachary Rowe, and Joanna Velazquez

Episode 134 | March 31, 2022 In “Just Tech: Centering Community-Driven Innovation at the Margins,” Senior Principal Researcher Mary L. Gray explores how technology and community intertwine and the role technology can play in supporting community-driven innovation and community-based organizations. Dr. Gray and her team are working to bring computer science, engineering, social science,  

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Just Tech: Centering Community-Driven Innovation at the Margins episode 1 with Desmond Patton and Mary Gray

Episode 133 | March 23, 2022 In “Just Tech: Centering Community-Driven Innovation at the Margins,” Senior Principal Researcher Mary Gray explores how technology and community intertwine and the role technology can play in supporting community-driven innovation and community-based organizations. Dr. Gray and her team are working to bring computer science, engineering, social science, and community together to boost  

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Microsoft Translator enhanced with Z-code Mixture of Experts models

Translator, a Microsoft Azure Cognitive Service, is adopting Z-code Mixture of Experts models, a breakthrough AI technology that significantly improves the quality of production translation models. As a component of Microsoft’s larger XYZ-code initiative to combine AI models for text, vision, audio, and language, Z-code supports the creation of AI systems that can speak, see, hear, and understand. This effort is a part of Azure AI and Project Turing, focusing on building multilingual, large-scale language models that support various production […]

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Powering the next generation of trustworthy AI in a confidential cloud using NVIDIA GPUs

Cloud computing is powering a new age of data and AI by democratizing access to scalable compute, storage, and networking infrastructure and services. Thanks to the cloud, organizations can now collect data at an unprecedented scale and use it to train complex models and generate insights.   While this increasing demand for data has unlocked new possibilities, it also raises concerns about privacy and security, especially in regulated industries such as  

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Microsoft has demonstrated the underlying physics required to create a new kind of qubit

Quantum computing promises to help us solve some of humanity’s greatest challenges. Yet as an industry, we are still in the early days of discovering what’s possible. Today’s quantum computers are enabling researchers to do interesting work. However, these researchers often find themselves limited by the inadequate scale of these systems and are eager to do more. Today’s quantum computers are based on a variety of qubit types, but none so far have been able to scale to enough qubits […]

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