It's a billion multibillion dollar industry um off of the backs of student athletes. Um you know obviously there's administrative side and all that but people all across all the sports men and women's people go to watch athletes play and the fact that people weren't able to be compensated for that for so long. Uh it's it's a crime.I feel for the people who weren't able to benefit from it. Um obviously it makes it different and it's a different landscape from a fan standpoint. There's a lot of movement.I und ...

Welcome to the Segmented Configuration: Booting the PS First tech module. Here is the agenda for this tech module. We will focus on the need for faster boot processes.Introducing the segmented configuration flow for enabling accelerated boot time. Describing how segmented configuration works. Describing how reconfiguring the programmable logic works in the segmented configuration flow.As technology advances, the pace of development and deployment has become a critical area of focus. Modern computing systems ...

Core Insights - The article discusses the development of the ViLaSR-7B model, which enhances spatial reasoning capabilities in large vision-language models (LVLMs) through a novel "Drawing to Reason in Space" paradigm, achieving significant improvements in various spatial reasoning tasks [1][17][33]. Group 1: Model Performance - ViLaSR-7B achieved an average improvement of 18.4% across five major spatial reasoning benchmarks, including maze navigation and video spatial reasoning [3][25]. - The model reached a 45.4% accuracy on the VSI-Bench, outperforming the Qwen2.5-VL-7B by 12.7% [26]. Group 2: Training Framework - The model employs a three-stage training framework: 1. Cold-start training establishes basic visual operation capabilities [22]. 2. Reflective rejection sampling enhances self-correction and reflection abilities [23]. 3. Reinforcement learning optimizes overall reasoning capabilities and drawing operation efficiency [24]. Group 3: Reasoning Paradigms - The article highlights a shift from the traditional "visual-to-text" reasoning paradigm to the "Thinking with Images" paradigm, which allows models to actively manipulate images during reasoning [10][15]. - This new paradigm addresses limitations in the traditional approach, such as loss of critical details and temporal information during the visual encoding process [11][16]. Group 4: Human-like Reasoning Strategies - ViLaSR-7B demonstrates human-like spatial reasoning strategies, such as reference-based measurement reasoning and systematic cross-frame object tracking [30][32]. - The model's ability to identify and utilize reference objects for accurate measurements reflects a mature reasoning process similar to human problem-solving [31].

NEW YORK, June 17, 2025 (GLOBE NEWSWIRE) -- Brag House Holdings, Inc. (NASDAQ: TBH) (“Brag House” or the “Company”), the media-tech platform at the intersection of gaming, college sports, and Gen Z engagement, last week unveiled plans to launch a secure digital asset platform as part of its Name, Image, and Likeness (NIL) initiative supporting the Company’s broader monetization strategy by introducing new revenue streams, expanding Gen Z engagement, and strengthening its data-driven value proposition. Build ...

Core Viewpoint - The article discusses the development of KRIS-Bench, a benchmark for evaluating the reasoning capabilities of image editing models, focusing on the structured knowledge acquisition process similar to human learning [2][3][4]. Group 1: Knowledge Structure - KRIS-Bench is designed to assess AI's knowledge structure through three categories: Factual Knowledge, Conceptual Knowledge, and Procedural Knowledge, allowing for a progressive challenge in image editing tasks [4][8]. - The benchmark includes 7 reasoning dimensions and 22 typical editing tasks, ranging from basic to advanced difficulty levels, covering a wide spectrum of challenges [6]. Group 2: Evaluation Metrics - KRIS-Bench introduces a four-dimensional automated evaluation system to score editing outputs, which includes Visual Consistency, Visual Quality, Instruction Following, and Knowledge Plausibility [11][13]. - The evaluation process involves a total of 1,267 image-instruction pairs, meticulously curated by an expert team to ensure diverse data sources and prevent model exploitation [12]. Group 3: Model Performance - The benchmark evaluates 10 models, including 3 closed-source and 7 open-source models, revealing that closed-source models like GPT-Image-1 outperform open-source counterparts in knowledge plausibility [14][18]. - Despite some models showing improvement in factual knowledge tasks, many still struggle with procedural reasoning and complex scientific tasks, indicating a significant gap in deep reasoning capabilities [18].

Core Viewpoint - Brag House Holdings, Inc. is launching a Name, Image, and Likeness (NIL) initiative aimed at helping student-athletes monetize their personal brands through digital collectibles and blockchain technology [1][2][3] Group 1: NIL Initiative Overview - The initiative seeks to empower student-athletes to connect directly with fans and generate revenue through authenticated digital collectibles and unique fan experiences [3][4] - Brag House aims to simplify the creation of digital collectibles using a no-code interface while ensuring compliance with NCAA and other regulations [4][5] - The platform will utilize secure digital ledger technology to facilitate transparent and efficient payments directly to student-athletes' wallets [6] Group 2: Market Context and Growth Potential - The NIL market was valued at approximately $917 million in 2022 and is projected to exceed $1.5 billion by 2027, indicating significant growth potential [7] - The global NFT trading volume surpassed $24 billion in 2023, with sports collectibles being a rapidly growing segment [7] - With over 20 million college students and half a million NCAA athletes in the U.S., the opportunity for Brag House to connect student-athletes with fans through blockchain-backed assets is substantial [8] Group 3: Future Plans and Collaborations - The NIL initiative is set to pilot with select campuses in late 2025, with further updates and collaborations with student-athletes expected as the infrastructure develops [10] - Brag House plans to enhance its NIL opportunities through various campus activations, including the Brag Gators Gauntlet Series and branded loyalty token integrations [11]

Core Insights - Royal Philips has announced the CE-marking of its SmartCT image reconstruction solution, enhancing decision-making in stroke and neurovascular treatment [1][3] - SmartCT is designed for the Philips Azurion neuro biplane system, providing real-time 3D imaging directly in the Angio suite, which accelerates treatment and improves clarity [2][9] - The technology is already in use at leading stroke centers globally, streamlining workflows and supporting timely interventions, particularly in mechanical thrombectomy procedures [3][4] Product Features - SmartCT 3.0 delivers cone-beam CT imaging in as little as 8 seconds, optimizing image quality for cerebral soft tissue and aiding in the visualization of vessel occlusions [9] - The system includes motion-compensated imaging for restless patients and features like SmartCT Dual Viewer for real-time image fusion and enhanced procedural planning [9] - Philips will showcase SmartCT 3.0 at LINNC Paris 2025, highlighting its capabilities for neuro-endovascular treatments [6] Company Overview - Royal Philips is a leading health technology company focused on improving health and well-being through innovation, with 2024 sales of EUR 18 billion and operations in over 100 countries [10][11] - The company specializes in diagnostic imaging, ultrasound, image-guided therapy, and personal health solutions, employing approximately 67,200 people [11]

Sometimes it will take a bit of time for technology to catch up and this company called Replicate that you work with stuck it out. It was from that era. Yeah.They started the company right before co and during the pandemic it was going so poorly that they actually stopped working on it for several months and then they picked it back up and just started like working on it quietly. But it basically was just like they were just building this thing in obscurity for two years until the image diffusion models cam ...

在人类的认知过程中，视觉思维（Visual Thinking）扮演着不可替代的核心角色，这一现象贯穿于各个专业领域和日常生活的方方面面。 生物化学家在探索新的治疗途径时，会在脑海中构建蛋白质的三维立体结构，通过视觉化的分子间相互作用来理解复杂的生化过程；法医分析师在破解疑难 案件时，需要在心中重建犯罪现场的空间布局，通过视觉推理来验证证据之间的逻辑连接；建筑师在设计创新建筑时，会在脑海中不断勾勒和修正建筑草 图，通过视觉想象来优化空间配置和光照效果；篮球运动员在制定战术策略时，需要在脑海中构想队友的跑位路线、防守阵型的变化以及关键时刻的战术配 合，通过视觉化的场景想象来设计最佳的进攻方案；在日常决策中， 一般人也会通过「脑补」各种可能的场景图像来辅助判断和选择，用脑海中自发生成 的图像作为认知媒介。 这种视觉思维能力的独特之处在于，它能够创造概念间的独特组合和新颖连接，帮助我们发现仅通过纯文本推理无法获得的洞察和创意。而在现代认知科学 中，这种「深思熟虑」往往需要多模态的思维过程来支撑。 如今，AI 也迈出了这一步：上海交通大学、上海创智学院、复旦大学和 Generative AI Research Lab（ ...

Group 1 - Google is launching a film and TV production project named 100 Zeroes aimed at improving young audiences' perceptions of its products and technology in general [1] - The initiative is expected to feature characters using Google products, similar to how Apple integrates its devices into its TV shows [2] - Google plans to collaborate with existing studios for distribution rather than using its own platforms like YouTube or an in-house streaming service [3]