<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>必应：Computer Vision</title><link>http://www.bing.com:80/search?q=Computer+Vision</link><description>搜索结果</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Computer Vision</title><link>http://www.bing.com:80/search?q=Computer+Vision</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>Computer Vision - IBM Research</title><link>https://research.ibm.com/topics/computer-vision</link><description>Computer Vision Modern computer vision systems have superhuman accuracy when it comes to image recognition and analysis, but they don’t really understand what they see. At IBM Research, we’re designing AI systems with the ability to see the world like we do.</description><pubDate>周日, 29 3月 2026 15:16:00 GMT</pubDate></item><item><title>A glimpse at computing’s quantum-centric future - IBM Research</title><link>https://research.ibm.com/blog/accelerating-qpus-with-gpus</link><description>IBM is the leader in quantum computing—but our vision encapsulates the future of computing overall. In reality, quantum will be one piece of a paradigm combining every computing tool we have available to solve problems beyond anything that’s possible today.</description><pubDate>周五, 03 4月 2026 14:48:00 GMT</pubDate></item><item><title>Terramind: the new generative AI model for Earth observation</title><link>https://research.ibm.com/blog/terramind-esa-earth-observation-model</link><description>TiM is a novel approach for computer vision models similar to chain-of-thought in language models. Empirical evidence demonstrates that TiM tuning can enhance the model performance beyond normal fine-tuning.</description><pubDate>周五, 27 3月 2026 18:32:00 GMT</pubDate></item><item><title>Semiconductor SEM Image Defect Classification Using Supervised and Semi ...</title><link>https://research.ibm.com/publications/semiconductor-sem-image-defect-classification-using-supervised-and-semi-supervised-learning-with-vision-transformers</link><description>In recent years, deep learning computer vision algorithms have shown to be effective solutions for image-based inspection applications in industry. This work proposes application of vision transformer (ViT) neural networks for automatic defect classification of SEM images.</description><pubDate>周三, 25 3月 2026 18:41:00 GMT</pubDate></item><item><title>IBM Granite now has eyes - IBM Research</title><link>https://research.ibm.com/blog/granite-vlm</link><description>IBM’s new vision-language model for enterprise AI can extract knowledge locked away in tables, charts, and other graphics, bringing enterprises closer to automating a range of document understanding tasks.</description><pubDate>周一, 30 3月 2026 19:47:00 GMT</pubDate></item><item><title>IBM Granite Vision tops the chart for small AI models</title><link>https://research.ibm.com/blog/granite-vision-ocr-leaderboard</link><description>The latest Granite vision model recently came in second on the OCRBench leaderboard, and is the best-performing small model on the chart.</description><pubDate>周一, 23 3月 2026 16:49:00 GMT</pubDate></item><item><title>AI for Bridge Inspection with IBM Inspecto for IABMAS 2024</title><link>https://research.ibm.com/publications/ai-for-bridge-inspection-with-ibm-inspecto</link><description>Further, we provide support to reliability engineers by measuring defects with computer vision and by providing additional information that is required to assess damage severity and plan maintenance interventions.</description><pubDate>周五, 27 3月 2026 18:10:00 GMT</pubDate></item><item><title>Inspecto – Large Vision Model Inspection Service - IBM Research</title><link>https://research.ibm.com/projects/inspecto</link><description>Inspecto is an industry-research SaaS where this technology is prototyped and validated in collaboration with clients, before graduating into IBM products. Inspecto combines the use of LVMs, with advanced computer vision tools to enable engineers to perform complex inspection tasks.</description><pubDate>周三, 01 4月 2026 19:16:00 GMT</pubDate></item><item><title>AI for Asset Management - IBM Research</title><link>https://research.ibm.com/topics/ai-for-asset-management</link><description>AI for Asset Management We’re helping reinvent how enterprises manage their assets, including automating anomaly detection, failure patterns, and sensor data. We’re creating AI that fuses noisy sensor data, images, and text from operator logs and repair manuals to enable intelligent workflows with natural-language explanations.</description><pubDate>周二, 24 3月 2026 23:36:00 GMT</pubDate></item><item><title>IBM at Deep Learning Indaba 2025 - Kigali, Rwanda</title><link>https://research.ibm.com/events/deep-learning-indaba-2025</link><description>This is partly due to the community-based engagements of AI researchers in the continent, focusing on specific research areas such as NLP, Computer Vision, Geospatial ML. The AI research community in Africa is leading the responsible AI efforts globally.</description><pubDate>周五, 03 4月 2026 02:53:00 GMT</pubDate></item></channel></rss>