The AI R&D proprietary technology of IQSTEL, through its product IQ2Call.ai, will lead this transformation in call center services.NEW YORK, Aug. 28, 2025 /PRNewswire/ -- IQSTEL Inc. (NASDAQ: IQST) today announced that its artificial intelligence subsidiary, Reality Border LLC (www.realityborder.com), has signed a Memorandum of Understanding (MOU) with Mobility Tech (https://www.mobilitytechcolombia.com/), a leading call center services provider specializing in the U.S. health services sector.Through this p ...

HONG KONG, Aug. 27, 2025 (GLOBE NEWSWIRE) -- GPTBots.ai, a leading enterprise-grade AI agent building platform, announced a strategic partnership with Vonosis Co., Ltd., a premier digital transformation and cloud solutions distributor in Thailand. This partnership further strengthens GPTBots' strategic presence in the Southeast Asian market, empowering Thai businesses across key sectors like healthcare, retail, and manufacturing with accessible, enterprise-grade AI capabilities. As a leader in digital busi ...

Two of the biggest private companies in the world, plus one of OpenAI's biggest competitors. You can invest in all three -- but is the price worth it?Everything and a bag of chips. That's what you get when you invest in Cathie Wood's Ark Venture Fund (ARKVX 3.08%), a mixed basket of 60-plus private and publicly traded stocks. It's a rare opportunity to buy shares of some of the most promising private companies in the market. Among them are SpaceX, OpenAI, and Anthropic.As of this writing, these privately ow ...

公告称，集团的业务增长，一方面得益于集团领先的产品和解决方案能够满足客户持续增长的业务需 求，另一方面源于集团利用AI技术为客户业务的效率提升和智能化升级赋能。 七牛智能(02567)发布截至2025年6月30日止六个月中期业绩，收益8.29亿元(人民币，下同)，同比增加 16.75%;毛利1.57亿元，同比增加3.3%。 截至2025年6月30日止六个月，集团AI相关收入为1.84亿元，占同期总收入比例为22.2%，这得益于集团 作为AI技术及开发者生态系统的赋能者，所构建的涵盖AI算力资源、AI大模型平台与音视频AI应用的 全面产品能力和解决方案，持续为业务增长注入新动能。 ...

Core Insights - ScanTech AI Systems Inc. announced a collaboration with Curie Technologies to integrate the Curie™ software platform into its SENTINEL™ CT offering, aiming to enhance service delivery and customer success [1][2] - The Curie™ platform is a cloud-based SaaS solution that provides real-time digital access to asset details, product documentation, troubleshooting guidance, and regulatory compliance information [2] - This integration is expected to improve ScanTech AI's service capabilities, particularly in highly regulated industries such as nuclear energy and aviation, by offering digital, proactive, and data-driven service experiences [2][3] Company Overview - ScanTech AI Systems Inc. specializes in advanced non-intrusive 'fixed-gantry' CT screening technologies, utilizing AI and machine learning to detect hazardous materials and contraband [4] - The company's solutions are designed for various high-security environments, including airports, seaports, borders, and government buildings [4] Strategic Focus - The integration of the Curie platform reflects ScanTech AI's commitment to sustainable growth through innovation and collaboration, aiming to strengthen recurring revenue opportunities and expand its service ecosystem [3] - The company emphasizes delivering measurable customer outcomes as a key aspect of its strategy [3]

Financial Data and Key Metrics Changes - The group reported a 6.4% increase in operating NPAT to AUD 100.8 million, translating to an operating EPS of 12.2 cents per security, and distributions of 10.4 cents per security, both up 4% from the previous year [22][21] - Statutory NPAT was AUD 82.7 million, lower than operating NPAT due to fair valuation impacts of property investments [22] - FY '26 operating EPS guidance is set at 13.4 cents, indicating a significant increase from the current year [22] Business Line Data and Key Metrics Changes - The Property Funds Management segment delivered an operating EBITDA of AUD 59.6 million, up from AUD 57.9 million last year, reflecting resilience despite a subdued transactional environment [24] - The Property Investment segment contributed a consolidated EBITDA of AUD 87.7 million, an increase from the prior year [25] - Centuria Bass Credit generated AUD 27 million in operating EBITDA, with AUM expanding over 21% year-on-year to AUD 2.3 billion [12] Market Data and Key Metrics Changes - Centuria's transactional activity totaled close to AUD 3 billion, including approximately AUD 500 million of acquisitions and AUD 630 million of real estate finance transactions [10] - The group maintained a high portfolio occupancy rate of 95% with a robust average lease term of 5.3 years [10] - The unlisted platform's performance fees amounted to AUD 7 million booked to P&L, with AUD 32 million collected from divestments [11] Company Strategy and Development Direction - The company aims to target over AUD 1 billion in real estate acquisitions in FY '26, focusing on alternative property markets and innovative fund structures [4][35] - The introduction of Reset Data is expected to contribute to earnings growth, with anticipated revenue generation from its AI marketplace and AI factory starting in FY '26 [4][18] - Centuria plans to continue proactive capital management and seek new lower-cost corporate debt sources [36] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the improving real estate investment environment due to falling cash rates and increasing transaction volumes [6][35] - The company anticipates a continued increase in investor appetite for real estate funds, driven by lower competing deposit and fixed interest rate returns [7][35] - Management highlighted the importance of maintaining a strong balance sheet and liquidity to support growth initiatives [29][30] Other Important Information - Centuria's net asset value per security remained steady at AUD 1.79, with operating gearing at 12.3% [29] - The company has raised an additional AUD 100 million in liquidity and expects to repay its secured ASX listed redeemable notes ahead of maturity [30] - The weighted average debt duration has been extended from 2.3 years to 3.2 years, enhancing financial stability [31] Q&A Session Summary Question: Inquiry about payout ratio and DPS guidance - Management acknowledged that their payout ratio has been higher than peers and indicated a minor adjustment to address this, but did not commit to future forecasts [42][44] Question: Clarification on the AUD 1 billion acquisition guidance - The AUD 1 billion figure is a gross number, with approximately AUD 200 million already secured from a recent acquisition [45][46] Question: Potential implications of proportional consolidation of earnings - Management indicated that while there could be implications, they believe the new reporting structure aligns better with peers and enhances transparency [48][50] Question: Guidance on innovative fund structures and potential IPOs - Management confirmed that guidance includes a range of raisings, with ongoing work on new fund structures, but specifics on sectors for potential IPOs are still being developed [51][54] Question: Equity inflows and mix for FY '26 - Management expects a good mix of retail and institutional capital, with a focus on expanding institutional partnerships [58] Question: Competition in the Bass Credit market - Management acknowledged increased competition and margin pressure but noted a recent uptick in market activity [60]

日前，云蝶科技CTO陈天接受南都·琶洲π专访。他长期从事教育的信息化、数字化、智慧化工作。在AI 进入到大模型发展阶段，他从北京南下广州，在海珠琶洲开启了创业新征程。 广州云蝶科技有限公司 CTO，汕头大学工学院校外硕士导师，广东省现代移动互联网研究院联席院 长，泰国格乐大学兼职教授 陈天 11年兜兜转转再回到广州 智慧教育专家在琶洲迎接AI风口 陈天与广州这座城市，或有注定的缘分。2008年，在华南理工大学软件学院执教的他，离开广州北上北 京，被借调到教育部从事教育信息化相关的工作。2019年，他兜兜转转地又回到了广州。 这一次，站在AI的风口上，他要将AI技术和教育融合起来。2018年，田雪松（现云蝶科技创始人、 CEO）找到他。两人在一家咖啡馆里谈起了AI+教育的创业计划。"没有特别的犹豫，当下就做了决 定。"陈天回忆道，这就是他最擅长的事情。两人一拍即合，决定在广州"开干"。 百花齐放般的大模型深刻展示着人工智能技术的魅力。南都·琶洲π特别策划"琶洲模术秀"系列人物专 访，专访位于广州海珠琶洲的国内首个人工智能大模型应用示范区的大模型专家，揭秘大模型背后的技 术原理，走进人工智能技术的最新应用场景。 ...

Core Viewpoint - Shenzhen Haijing Zhiyuan Technology Co., Ltd. (referred to as "Haijing Zhiyuan") has submitted its prospectus for an IPO on the Hong Kong Stock Exchange, aiming to leverage its leading position in multispectral AI technology [3] Company Overview - Haijing Zhiyuan was established in 2013 and is recognized as a leading Chinese enterprise in multispectral AI technology [3] - The company specializes in self-developed technologies in multispectral perception and AI algorithms, offering products and services that can detect both visible and invisible physical information [3] Financial Performance - For the fiscal years 2022, 2023, 2024, and the first three months of 2025, Haijing Zhiyuan reported revenues of approximately 225 million, 117 million, 523 million, and 82 million respectively [8] - The net profit and total comprehensive income for the same periods were -4.93 million, -18.41 million, 40.41 million, and 14.14 million respectively [8] Shareholding Structure - Prior to the IPO, key shareholders include Zhou Bo with a direct holding of 5.96%, and other entities such as Zhongcheng Tianying holding 38.34%, and Zhongzheng Tianying holding 2.79% [5] - The total shareholding of the controlling shareholders amounts to 48.87% [5] Management Team - The board consists of nine directors, including five executive directors: Zhou Bo, Miao Rui, Dr. Chai Jian, Zou Xiaogang, and Chen Yonggang [6] - Dr. Chai Jian, aged 36, joined the company in November 2024 and has a background in investment management and smart city technology solutions [7]

Core Viewpoint - The article discusses the rise of AI-generated "brainrot" videos, particularly focusing on the startup OpenArt, which has gained popularity among young users for its innovative video creation tools [3][4]. Company Overview - OpenArt was founded in 2022 by two former Google employees and currently boasts approximately 3 million monthly active users [4]. - The company has raised $5 million from Basis Set Ventures and DCM Ventures and has achieved positive cash flow [4]. - OpenArt aims to exceed $20 million in annual revenue [4]. Product Features - OpenArt recently launched a public beta of its "One-Click Story" feature, allowing users to generate one-minute videos from a single sentence, script, or song [4]. - The platform offers three templates for video creation: character Vlog, music video, and commentary video [5]. - Users can upload character images and input prompts, with the software generating animations that align with the uploaded content [5]. - OpenArt integrates over 50 AI models, enabling users to select preferred tools such as DALLE-3, GPT, Imagen, Flux Kontext, and Stable Diffusion [5]. Ethical Considerations - The article highlights ethical concerns surrounding AI-generated content, including issues of style imitation, intellectual property rights, and the potential for misinformation [7]. - OpenArt's "character Vlog" feature may pose legal risks due to the use of copyrighted characters, as seen in past lawsuits involving AI-generated images [7]. - The company is cautious about copyright infringement and aims to negotiate character licensing with major intellectual property holders [7]. Unique Selling Proposition - OpenArt differentiates itself by ensuring character consistency in videos, addressing a common challenge in AI-generated content [9][10]. Future Plans - The company plans to enhance the "One-Click Story" feature by allowing users to create videos featuring dialogues between two different characters [11]. - There are also plans to develop a mobile application [11]. Pricing Model - OpenArt employs a points-based subscription system with four tiers: - Basic plan at $14/month for 4,000 points, allowing up to 4 "One-Click" stories, 40 videos, 4,000 images, and 4 character usages [12]. - Advanced plan at $30/month for 12,000 points [12]. - Unlimited plan at $56/month for 24,000 points [12]. - Team plan at $35/month per member [12].

华为正通过从大模型设计到基础设施的软硬协同，探索构建其全栈 AI 竞争力的路径。 华为 AI 发展策略已逐渐从追赶并对标业界 SOTA 模型，转向为更好地 发挥自研昇腾硬件潜力而量身定做模型架构。这一双向协同进化路径，旨在解决 AI 模型规模化应用中的系统性问题，并构建一个由软硬件协同架构、算子与 软件栈构成的全栈技术体系。 盘古大模型的演进，其核心是为解决大规模分布式系统中的效率难题。 随着大语言模型从稠密架构全面转向混合专家（ MoE ）稀疏架构，业界普遍面临专家 负载不均衡这一系统性瓶颈，它制约了 MoE 模型在训练和推理中的实际性能。华为将此系统性问题作为其软硬架构创新的核心方向，标志着其关注点已从单 纯硬件或单纯 AI 算法问题，拓展至在自研硬件上更高效解决 AI 系统工程问题。 华为在大模型层面并行推出了两种创新路径。一方面， Pangu Pro MoE 通过架构破局，提出分组专家混合（ MoGE ）架构，旨在通过结构性设计解决负载不 均衡问题。另一方面 ， Pangu Ultra MoE 则通过系统级优化，以仿真先行的设计方法来优化模型架构从而更好的适配昇腾硬件，并通过贯穿训练和推理的协 同优化 ...