Core Insights - Intermap Technologies Corporation announced the retirement of Jack Hild from its Board of Directors, recognizing his significant contributions to the company's growth and strategic direction in the defense and intelligence sectors [1][2][3] Company Overview - Intermap Technologies, founded in 1997 and headquartered in Denver, Colorado, is a leader in geospatial intelligence solutions, specializing in the creation and analysis of 3D terrain data [5] - The company utilizes patented sensors and processing technology to provide diverse, multi-source datasets, enabling seamless integration of geospatial intelligence into customer workflows [5] - Intermap's capabilities include high-resolution thematic models and global geospatial analysis through artificial intelligence and machine learning [5] Applications - Intermap's products and solutions are applicable in various sectors, including defense, aviation, disaster mitigation, environmental planning, telecommunications, and transportation [6]

RT ariel seidman (@aseidman)Excited to announce that Volkswagen's autonomous vehicle subsidiary, Volkswagen ADMT, has selected Bee Maps (powered by Hivemapper) spatial intelligence services to support its autonomous vehicle testing operations.Robotaxis + Hivemapper are a match made in heaven. Onwards 🚀 https://t.co/lo77YQn16b ...

从开洗衣店谋生、到因学术成就被誉为"AI 教母"，再到如今成为一家企业的 CEO，李飞飞一直处在"从 零到一"的历程，并享受其中。用她自己的话来说： "我喜欢从零开始的感觉，就像站在原点一样。忘记你过去所做的一切，忘记别人对你的看法。只是埋 头苦干，努力构建。那是我的舒适区，我就是喜欢那样。" 日前，李飞飞在 Y Combinator 的 AI Startup School 活动上，回顾了 ImageNet 项目的诞生历程、她早期 对数据驱动方法的信念，以及卷积神经网络（CNN）等突破如何催生图像描述、故事生成，最终发展 出生成式模型。她还解释了为何 3D 世界建模对通用人工智能（AGI）至关重要，在她看来，"没有空间 智能，AGI 就是不完整的。" 另外在现场，李飞飞还给了身处 AI 时代的硕士、博士研究生一些建议： 学术头条在不改变原文大意的情况下，做了简单的编译。内容如下： 一、我的梦想是让机器"看见" Diana Hu：我们非常高兴能够邀请到李飞飞博士，她在 AI 领域具有很长的职业生涯，被誉为"AI 教 母"。飞飞，2009 年，也就是 16 年前，你最初创建的项目之一是 ImageNet，引用量已 ...

AGI最新判断。 作者 | 闻乐 不圆 来源 | 量子位 （ID：QbitAI） 在我看来，没有空间智能，通用人工智能就不完整。 这是"AI教母"李飞飞在最新访谈中对AGI的判断——是的，李飞飞也开始谈论AGI了。 不过她有自己的表述，从进入人工智能领域开始，她就确定了她终身奋斗的梦想： 让智能体能够讲述世界的故事 。 而这，离不开 空间智能 。 正如她本人所说： 我整个职业生涯都在追逐那些极其困难、近乎疯狂的问题。 李飞飞如今聚焦于空间智能领域——这个人工智能最艰难的领域之一。 她认为 3D世界建模 对于实现AGI至关重要，并表示： 理解三维世界、生成三维世界、推理三维世界、在三维世界中做事，是人工智能的基本问题。 她的目标是创建一个超越平面像素、跨越语言障碍、能够真正捕捉三维世界结构和空间智能的 世界模型 。 在这次对话中，她从ImageNet的起源和影响说起，讲述了AI范式转变与关键突破，并提到了3D建模面临的挑战以及空间智能的数据 缺失问题。 量子位翻译并总结了全文，让我们一起来学习李飞飞的最新认知和分享。 ImageNet为现代计算机视觉搭建数据骨架 Q：你最早创建的项目之一是2009年的Image ...

编辑 | 褚杏娟 你说得对，我们大约在 18 年前就开始构想 ImageNet 这个项目。时间过得真快！那时我还是普林斯 顿大学一年级的助理教授。那时的人工智能和机器学习领域与现在完全不同，数据非常稀缺，在计算 机视觉领域，算法几乎是行不通的。那时也没有相关产业发展，公众根本不知道"人工智能"这个概 念。 但我们当时的那群人，从 AI 的奠基人 John McCarthy，到后来像 Geoffrey Hinton 这样的研究者， 都怀着一个共同的 AI 梦想：我们真的想让机器学会思考和工作。而对我个人而言，我的梦想是让机 器能够"看见"，因为视觉是智能的重要基石。视觉智能不仅仅是感知，它更在于理解世界并在世界中 采取行动。 主持人 ：后来很久才出现了一些有前景的算法。直到 2012 年，AlexNet 出现了。那才是实现 AI 的 第二个关键因素：投入足够的计算资源。当你看到你播下的数据种子开始发挥作用，开始取得更多科 研突破时，那一刻是什么感觉？ 李飞飞 ：没错，2009 年我们在 CVPR 会议上发表了一篇很简短的论文。2009 年至 2012 年这三年 里，我们坚信数据将驱动人工智能的发展，但当时几乎看 ...

Core Viewpoint - The article emphasizes the importance of spatial intelligence in achieving Artificial General Intelligence (AGI), as articulated by AI expert Fei-Fei Li, who believes that understanding and interacting with the 3D world is fundamental to AI development [1][4][29]. Group 1: Spatial Intelligence and AGI - Fei-Fei Li asserts that without spatial intelligence, AGI is incomplete, highlighting the necessity of creating world models that capture the structure and dynamics of the 3D world [29]. - She identifies 3D world modeling as a critical challenge for AI, stating that understanding, generating, reasoning, and acting within a 3D environment are essential problems for AI [7][29]. - The pursuit of spatial intelligence is framed as a lifelong goal for Li, who aims to develop algorithms that can narrate the stories of the world by understanding complex scenes [20][29]. Group 2: Historical Context and Breakthroughs - The article discusses the inception of ImageNet, a pivotal project initiated by Li, which aimed to create a vast dataset for training AI in visual recognition, addressing the data scarcity issue in the early days of AI [11][14]. - The success of ImageNet led to significant advancements in computer vision, particularly with the introduction of AlexNet, which utilized convolutional neural networks and marked a turning point in AI capabilities [19][22]. - Li reflects on the evolution of AI from object recognition to scene understanding, emphasizing the importance of integrating natural language with visual signals to enable AI to describe complex environments [15][20]. Group 3: Future Directions and Applications - Li expresses excitement about the potential applications of spatial intelligence in various fields, including design, architecture, gaming, and robotics, indicating a broad utility for world models [35]. - The article mentions the challenges of data acquisition for spatial intelligence, noting that while language data is abundant online, spatial data is less accessible and often resides within human cognition [33][50]. - Li's new venture, World Labs, aims to tackle these challenges by developing innovative solutions for understanding and generating 3D environments, indicating a commitment to advancing the field of AI [29][35].

CALGARY, Alberta, June 26, 2025 (GLOBE NEWSWIRE) -- (TSX: IMP; OTCQB: ITMSF) – Intermap Technologies Corporation (“Intermap” or the “Company”) held its annual general meeting of shareholders (the “Meeting”) on June 26, 2025, at the offices of Norton Rose Fulbright Canada LLP, located at 3700, 400 Third Avenue S.W., Calgary, Alberta. A total of 27,270,817 Class A common shares of Intermap (“Common Shares”), representing 45.93% of the total Common Shares outstanding, were represented in person or by proxy at ...

NEW YORK, June 18, 2025 (GLOBE NEWSWIRE) -- Satellogic, Inc. (NASDAQ: SATL), a leader in satellite manufacturing and high-resolution Earth observation data, is pleased to announce that Uzma Berhad, and by extension Satellogic as Uzma’s Technology Partner, has been selected as the successful bidder to lead the Malaysian High-Resolution Earth Observation Satellite Project (MHREOSP) for the Government of Malaysia. As a technology partner, Satellogic will design, develop, assemble, integrate and test a stat ...

Company reports first quarter 2025 revenue growth of 153% with 28% pro-forma adjusted EBITDA margin Confirms projected 2025 revenue of $30–35 million and 28% EBITDA margin Conference call today at 5:00 pm ET to discuss results DENVER, May 15, 2025 (GLOBE NEWSWIRE) -- Intermap Technologies (TSX: IMP; OTCQB: ITMSF) (“Intermap” or the “Company”), a global leader in 3D geospatial services and intelligence solutions, today announced first quarter 2025 results and affirmed 2025 guidance. For the first quarter end ...