AI for Chip Design,NVIDIA做了这些精彩的工作 NVIDIA于2020年在IEEE Micro上刊出了一篇题为 “Accelerating Chip Design with Machine Learning”的文章。该文章总结了NV在AI for EDA领域做的研究工作,包括设计空间探索、功耗分析、可布线性预测、模拟芯片设计等,并提出了AI 辅助芯片设计的一些愿景。 以下为原文翻译...
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Magic Design(Beta)是热门的在线设计工具canva推出的一个免费的人工智能设计工具,它可以让你从其海量的精美模板中智能将你的设计理念可视化。只需上传你自己的媒体文件或从一个空白的区域开始,输入你的设计想法,Magic Design便会魔法般的定制好你的设计并呈现在你面前。 Magic Design是一个由人工智能驱动的设计生成工...
Light Architecture, Rasa Navasaityte, 2022, Lab for Environmental Design Strategies, UT Austin 前言 当下,AIGC技术正在经历寒武纪大爆发,迅速席卷社会生活的每个领域。无数心生疑虑的人在真正上手体验ChatGPT, MidJourney后也都不禁暗衬:“这次,可能真的要来了。” 在百花齐放的AIGC生态中,建筑设计AIGC的进度...
OpenMixup is an open-source toolbox for supervised, self-, and semi-supervised visual representation learning with mixup based on PyTorch, especially for mixup-related methods. Recently, OpenMixup is on updating to adopt new features and code structures of OpenMMLab 2.0 (#42). Major Features ...
贯彻着"AI for 医疗"系列的一贯理念，我们认为 AI对药物研发的帮助并非是颠覆性的，而是一种在目前技术框架下的优化和增强。AI在先导化合物的发现中同样存在着自身的问题。下文将主要列举三点。准确性的验证：不同于大语言模型，来自分子AI大模型的结果通常难以进行准确的验证。利用大语言模型进行自然语言处理时，...
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图片引自：AutoCV Challenge Design and Baseline Results 在 CVPR 2020 的国际顶级低功耗计算机视觉挑战赛 (Low Power Computer Vision Challenge, LPCVC)，所在团队在有限计算和存储资源的移动嵌入式设备上，极大提升了计算机视觉任务的精度。以突出的精度和低功耗性能，打败了来自麻省理工学院、清华大学、百度、快手等...
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