<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>必应：Ai</title><link>http://www.bing.com:80/search?q=Ai</link><description>搜索结果</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Ai</title><link>http://www.bing.com:80/search?q=Ai</link></image><copyright>版权所有 © 2026 Microsoft。保留所有权利。不得以任何方式或出于任何目的使用、复制或传输这些 XML 结果，除非出于个人的非商业用途在 RSS 聚合器中呈现必应结果。对这些结果的任何其他使用都需要获得 Microsoft Corporation 的明确书面许可。一经访问此网页或以任何方式使用这些结果，即表示您同意受上述限制的约束。</copyright><item><title>Massachusetts Institute of Technology - MIT News</title><link>https://news.mit.edu/topic/artificial-intelligence2</link><description>AI system learns to keep warehouse robot traffic running smoothly This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.</description><pubDate>周日, 05 4月 2026 09:31:00 GMT</pubDate></item><item><title>AI Assist - Stack Overflow</title><link>https://stackoverflow.com/ai-assist</link><description>stackoverflow.ai is an AI-powered search and discovery tool designed to modernize the Stack Overflow experience by helping developers get answers instantly, learn along the way and provide a path into the community.</description><pubDate>周日, 05 4月 2026 04:23:00 GMT</pubDate></item><item><title>AI tool generates high-quality images faster than state-of-the-art ...</title><link>https://news.mit.edu/2025/ai-tool-generates-high-quality-images-faster-0321</link><description>A hybrid AI approach known as hybrid autoregressive transformer can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. The new tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image.</description><pubDate>周六, 04 4月 2026 09:47:00 GMT</pubDate></item><item><title>Improving AI models’ ability to explain their predictions</title><link>https://news.mit.edu/2026/improving-ai-models-ability-explain-predictions-0309</link><description>A new technique transforms any computer vision model into one that can explain its predictions using a set of concepts a human could understand. The method generates more appropriate concepts that boost the accuracy of the model.</description><pubDate>周日, 05 4月 2026 04:23:00 GMT</pubDate></item><item><title>Responding to the climate impact of generative AI - MIT News</title><link>https://news.mit.edu/2025/responding-to-generative-ai-climate-impact-0930</link><description>MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the second in a two-part series on the environmental impacts of generative artificial intelligence.</description><pubDate>周五, 03 4月 2026 14:27:00 GMT</pubDate></item><item><title>Explained: Generative AI | MIT News | Massachusetts Institute of Technology</title><link>https://news.mit.edu/2023/explained-generative-ai-1109</link><description>What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology.</description><pubDate>周六, 04 4月 2026 06:05:00 GMT</pubDate></item><item><title>How to disable AI autocomplete in VS Code? - Stack Overflow</title><link>https://stackoverflow.com/questions/79717434/how-to-disable-ai-autocomplete-in-vs-code</link><description>In around July 2025, VS Code introduced some kind of AI autocomplete. I want to turn it off. All the previous options like github.copilot.enable or github.copilot.editor.enableAutoCompletions don't...</description><pubDate>周六, 04 4月 2026 17:03:00 GMT</pubDate></item><item><title>Introducing the MIT Generative AI Impact Consortium</title><link>https://news.mit.edu/2025/introducing-mit-generative-ai-impact-consortium-0203</link><description>The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry.</description><pubDate>周三, 01 4月 2026 22:22:00 GMT</pubDate></item><item><title>Machine learning | MIT News | Massachusetts Institute of Technology</title><link>https://news.mit.edu/topic/machine-learning</link><description>Can AI help predict which heart-failure patients will worsen within a year? Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.</description><pubDate>周六, 04 4月 2026 13:14:00 GMT</pubDate></item><item><title>MIT researchers advance automated interpretability in AI models</title><link>https://news.mit.edu/2024/mit-researchers-advance-automated-interpretability-ai-models-maia-0723</link><description>MAIA is a multimodal agent for neural network interpretability tasks developed at MIT CSAIL. It uses a vision-language model as a backbone and equips it with tools for experimenting on other AI systems.</description><pubDate>周三, 01 4月 2026 18:11:00 GMT</pubDate></item></channel></rss>