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Company Performance & Financials - United Rentals reported $3943 billion in total revenue for Q2 2025, a 45% year-over-year increase[166] - The company's adjusted EBITDA for Q2 2025 was $1810 billion, with a margin of 459%[166] - United Rentals' fleet productivity for Q2 2025 was 33%[161] - The company's year-to-date free cash flow reached $1201 billion, excluding merger and restructuring payments[166] - United Rentals anticipates total revenue between $158 billion and $161 billion for 2025[171] Specialty Business & Digitalization - Specialty revenue represented approximately 33% of United Rentals' total revenue in 2024[63] - United Rentals' digital marketplace saw a 22% year-over-year increase in revenue[66] - 76% of United Rentals' revenue is influenced by digital channels, up from 70% in 2023[69] Sustainability & Governance - United Rentals aims to reduce greenhouse gas (GHG) emissions intensity by 35% by 2030, compared to a 2018 baseline[188] - As of the end of 2024, 91% of North American locations had completed lighting retrofits, working towards an aspirational goal of 95% by 2025[188]

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Core Viewpoint - Kaiming He, a prominent figure in computer vision, has recently joined Google DeepMind as a part-time distinguished scientist after obtaining tenure at MIT, indicating a strategic collaboration between academia and industry in AI research [1][2][5][7]. Group 1: Kaiming He's Career and Achievements - Kaiming He is recognized as a legendary figure in the computer vision field, having received his undergraduate degree from Tsinghua University and his PhD from the Chinese University of Hong Kong under the supervision of Xiaodong Wu [9][10]. - He co-authored the award-winning paper "Single Image Haze Removal Using Dark Channel Prior" in 2009, marking a significant achievement for Asian researchers in the CVPR conference [10]. - After completing his PhD in 2011, he worked at Microsoft Research Asia and later joined Facebook AI Research (FAIR), where he developed the influential ResNet architecture, which has been cited over 280,000 times [11][12][15]. - His research contributions include notable works like Faster R-CNN and Mask R-CNN, the latter winning the best paper award at ICCV 2017 [15][18]. Group 2: Recent Developments and Collaborations - Kaiming He joined MIT's EECS department in 2023, marking a return to academia after a significant tenure in the industry, which garnered attention and speculation about Meta's loss [16][18]. - His recent research focuses on model performance optimization, including advancements in image generation techniques and the development of highly compressed tokenizers for text generation [20]. - He has collaborated with Google DeepMind on various projects, including the paper "Fractal Generative Models," which introduced a new paradigm for generating high-resolution images [22][23]. - The collaboration with DeepMind has been ongoing, with previous joint efforts addressing challenges in visual autoregressive models and proposing solutions for scaling these models [25][27].