Human-Computer Interaction and Visualization
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Human-Computer Interaction and Visualization
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Google Research is proposing a new way to build accessible software with Natively Adaptive Interfaces (NAI), an agentic framework where a multimodal AI agent becomes the primary user interface and adapts the application in real time to each user’s abilities and context. Instead of shipping a fixed ...
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In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, einsum, and pack/unpack let us reshape, aggregate, and combine tensors without relying on ...
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In September, Alfred Stephen, a freelance software developer in Singapore, purchased a ChatGPT Plus subscription, which costs $20 a month and offers more access to advanced models, to speed up his work. But he grew frustrated with the chatbot’s coding abilities and its gushing, meandering replies. ...
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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A first look at Making AI Work, MIT Technology Review’s new AI newsletter Are you interested in learning more about the ways in which AI is actually being used? ...
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Text autocompletion and chat queries are no longer the only roles for AI agents. They now refactor repositories, generate documentation, review codebases, and run unattended workflows, creating new challenges in coordinating multiple agents without losing context, control, or code quality. Maestro, ...
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In this tutorial, we demonstrate how to federate fine-tuning of a large language model using LoRA without ever centralizing private text data. We simulate multiple organizations as virtual clients and show how each client adapts a shared base model locally while exchanging only lightweight LoRA ...
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OpenAI for Government announces the deployment of a custom ChatGPT on GenAI.mil, bringing secure, safety-forward AI to U.S. defense teams.
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Learning AI in 2026 is definitely not the same as it was just a couple of years ago. Back then, the advice was simple (and intimidating): learn advanced math, master machine learning theory, and maybe – just maybe – you’d be ready to work with AI. Today, that narrative no longer holds. And the ...
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When I started working in the medical device industry almost 20 years ago, static analysis tools had captured the spotlight and attention of the medical device industry. This was apparent in a 2007 press article, which highlighted the United States Food and Drug Administration (FDA) Center for ...
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