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- 募资额净利超长鑫科技!长江存储IPO获受理(受益股)科创板史上最大规模IPO纪录再度刷新。 8月21日，上海证券交易所官网显示，长江存储控股股份有限公司（下称“长江存储”）科创板首次公开发行股票申请已正式获受理，公司拟募资330亿元，由 中信证券 、 中信建投 联合保荐。这一募资规模创下科创板开板以来最高纪录，标志着继 长鑫科技 之后，国产存储“双雄”即将会师科创板。 招股书披露的财务数据堪称惊艳。2026年第一季度，长江存储实现营业收入470.42亿元，归母净利润高达333.79亿元，单季净利润约为2025年全年的2.35倍，毛利率跳升至78.73%。这一盈利水平不仅在国内半导体行业中一骑绝尘，超过了长鑫科技的247.62亿元，也超越了多数A股上市公司的全年利润。 业绩爆发的背后，是一场穿越周期的豪赌。2023年全球存储行业处于周期低谷，长江存储当年营收187.44亿元，净亏损191.81亿元，NAND Flash产品毛利率仅为1%。但公司并未收缩产能，反而持续扩产，截至202
- 首家且目前唯一恒科GPU成分股，天数智芯获纳入恒生科技指数8月21日，恒生指数公司公布最新季度检讨结果，天数智芯(09903.HK)被正式纳入恒生科技指数，成为该指数自推出以来首家且目前唯一入选的GPU成分股。 恒生科技指数涵盖香港市场最具代表性的30家科技企业，是衡量中国科技股表现的核心基准。此次纳入，标志着天数智芯在AI算力基础设施领域的核心地位获得资本市场权威认可，也意味着恒生科技指数在半导体关键环节的覆盖进一步完善，填补了国产通用GPU在指数中的...
- HostColor Adds New POPs for AMD Dedicated ServersHostColor.com (HC) has updated its AMD hosting service by adding new locations for delivering AMD Ryzen- and AMD EPYC-powered dedicated servers with bandwidth quotas of up to 100 Gbps.
- Hagens Berman Sobol Shapiro LLPPhotronics, Inc. (PLAB) Notice of September 4, 2026 Application Deadline for Class Action Lawsuit - Contact Reed Kathrein at Hagens Berman Sobol Shapiro LLP Before Application DeadlineHagens Berman, a leading national shareholder rights law firm, is conducting an investigation into Photronics, Inc. (NASDAQ: PLAB) regarding alleged violations of federal securities laws. This investigation follows the recent filing of a class action lawsuit, which alleges that Photronics misled investors concerning the demand and outlook for its high-end integrated circuit (IC) photomask product line.SUBMIT YOUR LOSSES TO HAGENS...
- Qnity Electronics, Inc.Qnity to Present at the Goldman Sachs Communacopia and Technology ConferenceCompanies: QnityWILMINGTON, Del., August 21, 2026--Qnity Electronics, Inc. ("Qnity") (NYSE: Q), a premier technology solutions leader across the semiconductor value chain, today announced that Jon Kemp, Qnity’s Chief Executive Officer, will have a fireside chat at the 2026 Goldman Sachs Communacopia and Technology Conference on September 10, at 8:10am PST.
- Semiconductor Manufacturing Equipment Market to Reach USD 344.36 Billion by 2032, Growing at 11.0% CAGR, Says MarketsandMarkets™Delray Beach, FL , Aug. 21, 2026 -- The global Semiconductor Manufacturing Equipment Market was valued at USD 166.35 billion in 2025 and is projected to reach USD 344.36 billion by 2032, growing at a CAGR of 11.0% from 2025 to 2032, according to a new report by MarketsandMarkets™. The rapid adoption of artificial intelligence (AI) and high-performance computing (HPC) applications is significantly driving demand for advanced-node, high-performance semiconductors, as the expansion of data centers for AI training and inference fuels investment in cutting-edge logic and memory capacities, requiring increasingly sophisticated manufacturing equipment.
- 8月21日美股成交额前20：美光收涨3.97%，公司宣布成立Micron Research Labs，计划未来十年投入100亿美元周四美股成交额第2名美光收涨3.97%，成交237.77亿美元。 美光周四宣布成立Micron Research Labs，计划未来十年投入100亿美元，在爱达荷州博伊西建设美国首座专注内存技术的长期创新中心，研究方向涵盖下一代内存、计算架构、先进封装及半导体制造。该投资独立于此前宣布的超过2500亿美元美国制造与研发计划。黄仁勋、库克等产业领袖表态支持，美国商务部长亦称此举有助于确保内存供应不成为科技发展瓶颈。 第5名闪迪收涨2.02%，成交175.75亿美元。 闪迪近期投资者日给出2028至2030财年财务框架：营收保持中高双位数增长，非GAAP毛利率目标约80%、营业利润率约75%，并承诺完成投资后将100%超额现金返还股东。公司已与多家数据中心客户签署多年期新商业模式协议，最低收入承诺规模较大，市场认为AI推理对NAND及企业级存储的需求正在从周期性转向更具可持续性。 第6名SpaceX收跌4.05%，成交158.7亿美
- 单季资本支出近700亿元 阿里把利润“砸”向AI基建 两大AI主业表现分化|财报解读炒股就看 金麒麟分析师研报 ，权威，专业，及时，全面，助您挖掘潜力主题机会！ （来源：财联社） 财联社8月20日讯（记者 付静）今日晚间，阿里巴巴-W（09988.HK）今年第二季度财报出炉。其中，包括AI基础设施投入在内的资本开支增加至676.78亿元。阿里方面表示，现阶段进行AI算力相关Capex投资的回报确定性非常高。不过，AI基础设施投入持续加码的同时，阿里在利润端承压明显。 财务数据显示，第二季度公司实现营业收入2689.53亿元，同比增长9%；经营利润151.61亿元，同比下降57%；归属于普通股股东的净利润104.44亿元，同比下降75%。 阿里方面称，经营利润同比下滑主要是由于经调整EBITA的减少、本年度计提的商誉减值以及准备金所致，经调整EBITA同比下降30%则主要归因于对科技的投入。 据悉，该季度阿里资本支出同比增长75%，主要受多项因素驱动，包括采购周期波动、预期客户持续采用AI智能体带动的CPU算力增
- Qnity Electronics, Inc.Qnity Appoints Semiconductor Finance Veteran Ken Rizvi Chief Financial OfficerCompanies: QnityWILMINGTON, Del., August 21, 2026--Qnity Electronics, Inc. ("Qnity") (NYSE: Q), a premier technology solutions leader across the semiconductor value chain, today announced that it has appointed Ken Rizvi, a seasoned semiconductor finance executive, as Senior Vice President and Chief Financial Officer, effective October 1. Michael Goss, who has been serving as interim Chief Financial Officer, will assume the role of Qnity’s Vice President, Finance and Controllership, at that time.
- Leading Across All Metrics: Xunce Technology Reports Record-High Mid-Year Revenue and Net Profit; AI-to-B Platform Enters a New Cycle of Exponential GrowthHONG KONG, Aug 21, 2026 - On August 21, Xunce Technology (03317.HK) released its 2026 interim results report: In the first half of the year, the company achieved revenue of 967 million yuan, a significant year-over-year increase of 389%, setting a new record high for the same period; net profit attributable to shareholders was 72.5 million yuan, compared to a net loss attributable to shareholders of 89.4 million yuan in the same period last year, marking the company’s first profitable first half of the year; Adjusted net profit was 67 million yuan, compared to an adjusted net loss of 105 million yuan in the same period last year, marking a comprehensive turnaround from loss to profit; the gross profit margin reached 60.1%, remaining stable at a high level; total assets were approximately 3514 million yuan, net assets were approximately 2482 million yuan, and with ample cash on hand, reflecting a significant improvement in operational quality. As a leading provider of AI real-time data infrastructure and analytics services in China, Xunce Technology made breakthrough progress in the first half of the year across business models, product innovation, industry penetration, and international expansion. The company led the industry across all key metrics, officially transitioning from the “investment phase” to the “profit realization phase,” while also exploring new avenues for profitability. Four Key Drivers Fuel Strong Revenue Growth and Continued Improvements in Operational Efficiency In the first half of 2026, against the backdrop of the 15th Five-Year Plan designating artificial intelligence as a national strategic priority, enterprise-level AI is accelerating its transition from model training to practical inference deployment, and from general-purpose capabilities to industry-specific applications. As a result, demand from enterprises for high-quality, structured, scenario-based real-time data is growing exponentially. Facing these significant development opportunities, Xunce Technology based on the FDE model, has expanded its end-to-end data processing and tokenization capabilities—covering everything from data acquisition to large-model fine-tuning—to transform dispersed and heterogeneous enterprise data into data tokens. This helps clients reduce costs, improve efficiency, maximize the business value per token, and achieve more agile, data-driven decision-making. Currently, the company has penetrated eleven high-value, high-barrier industries and developed over 400 functional modules. It has refined three core technological advantages: millisecond- and second-level real-time response, 100% accurate data processing, and data tokenization, connecting computing power to algorithms and taking responsibility for clients’ business outcomes. The company delivered strong performance in the first half of the year, with both revenue and net profit reaching all-time highs. The high revenue growth was primarily driven by the synergistic effect of four key drivers: accelerated deployment of enterprise-grade AI real-time data infrastructure, accelerated penetration into diverse industries, the implementation of the Token business model, and the expansion of international operations and ecosystem development. The significant turnaround in profitability was driven by a steady increase in the proportion of high-margin businesses; the realization of economies of scale from a platform-based and modular product architecture, leading to significantly improved operational efficiency and further optimization of the structure of R&D, sales, and general and administrative expenses; improved cash management efficiency, and investment income contributing to incremental profits. At the same time, the company’s operational efficiency has continued to rise. It has established a data development system centered on the AIDP platform, automating data development tasks. Its solutions are deeply integrated into clients’ self-managed cloud or on-premises systems, serving as a “data hub” that deeply embeds AI into corporate clients’ core business processes, supports high-quality business decision-making, and thereby continuously enhances clients’ willingness to pay;In the first half of the year, the company’s ARPU jumped from 1.64 million yuan to 5.56 million yuan, marking a significant year-over-year increase of 240 percent. Customer retention rates have long remained above 90%, fully demonstrating the strong lock-in effect and high customer stickiness resulting from the deep integration of the product into clients’ business processes, with per-capita revenue surged by 379% year-over-year, placing its labor efficiency among the highest in the AI technology sector. Driven by the dual engines of TokenOS and TokenCloud, revenue from the Token business accounts for over 10% In the first half of this year, the company proactively pioneered the Token business model, enabling data token calls to drive AI-based business decisions. Currently, the Token business model has been implemented in multiple high-value scenarios and has undergone successful commercial validation. During the first half of the year, revenue from the Token business model surpassed 10% of total revenue, with strong growth in ARR (Annual Recurring Revenue). It has become a new engine for revenue growth, and the commercialization of the token economy has far exceeded expectations. The company launched the world’s first TokenOS operating system, which focuses on data capabilities. It transforms enterprises’ multi-source, heterogeneous data in real time into standardized, measurable, and priceable scenario-based tokens, establishing a seamless end-to-end pipeline from data ingestion to model invocation. This enables enterprise data to be directly utilized as tokens and drives the implementation of token factories across various industries. Building on this foundation, the company has also launched the TokenCloud platform, which focuses on model capabilities and “data + model” capabilities. This accelerates the development of an integrated, end-to-end product and service ecosystem spanning “computing power—data—tokens—models—applications,” covering the entire lifecycle from underlying computing power scheduling and data tokenization to model inference optimization, as well as the refinement, tuning, and deployment of enterprise-specific small models. This drives the transformation of AI from a general-purpose capability into enterprise-specific productivity. TokenOS and TokenCloud work in tandem to provide enterprise customers with a one-stop AI infrastructure, enabling them to reduce deployment costs and improve matching efficiency across computing power, data, and models. This “operating system + cloud platform” dual-drive architecture forms the company’s strong competitive barrier, helping it become the computing infrastructure partner for enterprise AI transformation. Accelerated Penetration Across Diverse Industries and Substantial Progress Toward Internationalization Xunce Technology began in the asset management industry, which has the most stringent requirements for data real-time performance. It has now extended its AI real-time data processing capabilities to eleven high-value, high-barrier industries, including telecommunications, electric power, energy, urban operations, and high-end manufacturing. The company is accelerating its penetration across diverse industries, and its ability to replicate solutions across sectors continues to be validated. In the first half of this year, the company collaborated with PATEO Connect and Saimo Technology to jointly develop a token-based physical AI and world model, entering the smart connected vehicle sector; it partnered with three major domestic GPU manufacturers—MetaX, Iluvatar CoreX, and Biren Technology—to build a “computing power + data” closed-loop system; and through a strategic partnership with Shenzhen Kaihong, it implemented tokenization capabilities within the HarmonyOS ecosystem to explore world models and physical AI. The “Scenario Token Factory” model continues to be validated across multiple industries, scenarios, and ecosystems. As a result, the company’s revenue from diversified industries rose to 87.6%, making its business structure more diversified and opening up broader growth opportunities for the company. In addition, the company is actively expanding its overseas operations, accelerating the global rollout of the TokenOS operating system and its tokenization business model; it has also entered into strategic partnerships with the Shenzhen Data Exchange and the Beijing International Data Exchange, laying the foundation for global expansion. In the first half of the year, the company’s overseas revenue reached 11.86 million yuan，year-over-year increase of 264%. Four-Stage Evolution of AI Data Infrastructure: Strategic Initiatives Across Five Key Directions Looking ahead, Xunce Technology has established a strategic evolution path for the four-stage transformation of AI data infrastructure: starting with data governance (1.0), progressing through the tokenization phase (2.0), and moving toward a global token exchange platform (3.0) in the future, while accelerating the training and large-scale deployment of enterprise-level small models (4.0). Specifically, in Phase 1.0, the company began in the asset management industry and expanded across sectors, fully validating its cross-industry data governance capabilities. In Phase 2.0, the company used TokenOS to refine enterprise private data into high-quality scenario-based tokens and provided one-stop services through the end-to-end integrated cloud service platform TokenCloud, opening up a growth channel for its token business. In Phase 3.0, the company will launch a global Token exchange platform to break down barriers to Token circulation across enterprises, industries, and scenarios. In Phase 4.0, the company will use enterprise-grade small models to bridge the “last mile” of AI implementation, forming a complete closed-loop ecosystem of “computing power—data—Tokens—models—applications.” At the same time, the company will implement strategic initiatives across five key areas: First, deepening the evolution of its business model by accelerating the transition from project-based and subscription-based models to exploring a Token-based business model; second, accelerating cross-industry replication through a “high barriers, high value” expansion strategy to continuously unlock growth opportunities across diverse industries; third, pioneering cutting-edge applications to secure a leading position in future industries; fourth, building a strategic partnership ecosystem to forge deep ties with upstream and downstream players in computing power and algorithms; and fifth, steadily expanding overseas operations to lay the groundwork for a global footprint. By implementing strategic initiatives across these five key areas, the company will continue to create commercial value for its customers and usher in a new cycle of exponential growth. These impressive financial results mark a turning point for Xunce Technology as it officially begins to realize its value. At a time when demand for high-quality industry data is surging due to the inference requirements of large AI models, the company has built a solid competitive moat through its proprietary token system and opened up vast opportunities for revenue growth through “in-depth cross-industry development and international expansion.” In the future, as the ecosystem of token exchange platforms matures and enterprise-level small-model applications are implemented, this will significantly expand the potential for profit growth, propelling Xunce Technology onto a fast track of rapid development.
- Leading Across All Metrics: Xunce Technology Reports Record-High Mid-Year Revenue and Net Profit; AI-to-B Platform Enters a New Cycle of Exponential GrowthHONG KONG, Aug 21, 2026 - On August 21, Xunce Technology (03317.HK) released its 2026 interim results report: In the first half of the year, the company achieved revenue of 967 million yuan, a significant year-over-year increase of 389%, setting a new record high for the same period; net profit attributable to shareholders was 72.5 million yuan, compared to a net loss attributable to shareholders of 89.4 million yuan in the same period last year, marking the company’s first profitable first half of the year; Adjusted net profit was 67 million yuan, compared to an adjusted net loss of 105 million yuan in the same period last year, marking a comprehensive turnaround from loss to profit; the gross profit margin reached 60.1%, remaining stable at a high level; total assets were approximately 3514 million yuan, net assets were approximately 2482 million yuan, and with ample cash on hand, reflecting a significant improvement in operational quality. As a leading provider of AI real-time data infrastructure and analytics services in China, Xunce Technology made breakthrough progress in the first half of the year across business models, product innovation, industry penetration, and international expansion. The company led the industry across all key metrics, officially transitioning from the “investment phase” to the “profit realization phase,” while also exploring new avenues for profitability. Four Key Drivers Fuel Strong Revenue Growth and Continued Improvements in Operational Efficiency In the first half of 2026, against the backdrop of the 15th Five-Year Plan designating artificial intelligence as a national strategic priority, enterprise-level AI is accelerating its transition from model training to practical inference deployment, and from general-purpose capabilities to industry-specific applications. As a result, demand from enterprises for high-quality, structured, scenario-based real-time data is growing exponentially. Facing these significant development opportunities, Xunce Technology based on the FDE model, has expanded its end-to-end data processing and tokenization capabilities—covering everything from data acquisition to large-model fine-tuning—to transform dispersed and heterogeneous enterprise data into data tokens. This helps clients reduce costs, improve efficiency, maximize the business value per token, and achieve more agile, data-driven decision-making. Currently, the company has penetrated eleven high-value, high-barrier industries and developed over 400 functional modules. It has refined three core technological advantages: millisecond- and second-level real-time response, 100% accurate data processing, and data tokenization, connecting computing power to algorithms and taking responsibility for clients’ business outcomes. The company delivered strong performance in the first half of the year, with both revenue and net profit reaching all-time highs. The high revenue growth was primarily driven by the synergistic effect of four key drivers: accelerated deployment of enterprise-grade AI real-time data infrastructure, accelerated penetration into diverse industries, the implementation of the Token business model, and the expansion of international operations and ecosystem development. The significant turnaround in profitability was driven by a steady increase in the proportion of high-margin businesses; the realization of economies of scale from a platform-based and modular product architecture, leading to significantly improved operational efficiency and further optimization of the structure of R&D, sales, and general and administrative expenses; improved cash management efficiency, and investment income contributing to incremental profits. At the same time, the company’s operational efficiency has continued to rise. It has established a data development system centered on the AIDP platform, automating data development tasks. Its solutions are deeply integrated into clients’ self-managed cloud or on-premises systems, serving as a “data hub” that deeply embeds AI into corporate clients’ core business processes, supports high-quality business decision-making, and thereby continuously enhances clients’ willingness to pay;In the first half of the year, the company’s ARPU jumped from 1.64 million yuan to 5.56 million yuan, marking a significant year-over-year increase of 240 percent. Customer retention rates have long remained above 90%, fully demonstrating the strong lock-in effect and high customer stickiness resulting from the deep integration of the product into clients’ business processes, with per-capita revenue surged by 379% year-over-year, placing its labor efficiency among the highest in the AI technology sector. Driven by the dual engines of TokenOS and TokenCloud, revenue from the Token business accounts for over 10% In the first half of this year, the company proactively pioneered the Token business model, enabling data token calls to drive AI-based business decisions. Currently, the Token business model has been implemented in multiple high-value scenarios and has undergone successful commercial validation. During the first half of the year, revenue from the Token business model surpassed 10% of total revenue, with strong growth in ARR (Annual Recurring Revenue). It has become a new engine for revenue growth, and the commercialization of the token economy has far exceeded expectations. The company launched the world’s first TokenOS operating system, which focuses on data capabilities. It transforms enterprises’ multi-source, heterogeneous data in real time into standardized, measurable, and priceable scenario-based tokens, establishing a seamless end-to-end pipeline from data ingestion to model invocation. This enables enterprise data to be directly utilized as tokens and drives the implementation of token factories across various industries. Building on this foundation, the company has also launched the TokenCloud platform, which focuses on model capabilities and “data + model” capabilities. This accelerates the development of an integrated, end-to-end product and service ecosystem spanning “computing power—data—tokens—models—applications,” covering the entire lifecycle from underlying computing power scheduling and data tokenization to model inference optimization, as well as the refinement, tuning, and deployment of enterprise-specific small models. This drives the transformation of AI from a general-purpose capability into enterprise-specific productivity. TokenOS and TokenCloud work in tandem to provide enterprise customers with a one-stop AI infrastructure, enabling them to reduce deployment costs and improve matching efficiency across computing power, data, and models. This “operating system + cloud platform” dual-drive architecture forms the company’s strong competitive barrier, helping it become the computing infrastructure partner for enterprise AI transformation. Accelerated Penetration Across Diverse Industries and Substantial Progress Toward Internationalization Xunce Technology began in the asset management industry, which has the most stringent requirements for data real-time performance. It has now extended its AI real-time data processing capabilities to eleven high-value, high-barrier industries, including telecommunications, electric power, energy, urban operations, and high-end manufacturing. The company is accelerating its penetration across diverse industries, and its ability to replicate solutions across sectors continues to be validated. In the first half of this year, the company collaborated with PATEO Connect and Saimo Technology to jointly develop a token-based physical AI and world model, entering the smart connected vehicle sector; it partnered with three major domestic GPU manufacturers—MetaX, Iluvatar CoreX, and Biren Technology—to build a “computing power + data” closed-loop system; and through a strategic partnership with Shenzhen Kaihong, it implemented tokenization capabilities within the HarmonyOS ecosystem to explore world models and physical AI. The “Scenario Token Factory” model continues to be validated across multiple industries, scenarios, and ecosystems. As a result, the company’s revenue from diversified industries rose to 87.6%, making its business structure more diversified and opening up broader growth opportunities for the company. In addition, the company is actively expanding its overseas operations, accelerating the global rollout of the TokenOS operating system and its tokenization business model; it has also entered into strategic partnerships with the Shenzhen Data Exchange and the Beijing International Data Exchange, laying the foundation for global expansion. In the first half of the year, the company’s overseas revenue reached 11.86 million yuan，year-over-year increase of 264%. Four-Stage Evolution of AI Data Infrastructure: Strategic Initiatives Across Five Key Directions Looking ahead, Xunce Technology has established a strategic evolution path for the four-stage transformation of AI data infrastructure: starting with data governance (1.0), progressing through the tokenization phase (2.0), and moving toward a global token exchange platform (3.0) in the future, while accelerating the training and large-scale deployment of enterprise-level small models (4.0). Specifically, in Phase 1.0, the company began in the asset management industry and expanded across sectors, fully validating its cross-industry data governance capabilities. In Phase 2.0, the company used TokenOS to refine enterprise private data into high-quality scenario-based tokens and provided one-stop services through the end-to-end integrated cloud service platform TokenCloud, opening up a growth channel for its token business. In Phase 3.0, the company will launch a global Token exchange platform to break down barriers to Token circulation across enterprises, industries, and scenarios. In Phase 4.0, the company will use enterprise-grade small models to bridge the “last mile” of AI implementation, forming a complete closed-loop ecosystem of “computing power—data—Tokens—models—applications.” At the same time, the company will implement strategic initiatives across five key areas: First, deepening the evolution of its business model by accelerating the transition from project-based and subscription-based models to exploring a Token-based business model; second, accelerating cross-industry replication through a “high barriers, high value” expansion strategy to continuously unlock growth opportunities across diverse industries; third, pioneering cutting-edge applications to secure a leading position in future industries; fourth, building a strategic partnership ecosystem to forge deep ties with upstream and downstream players in computing power and algorithms; and fifth, steadily expanding overseas operations to lay the groundwork for a global footprint. By implementing strategic initiatives across these five key areas, the company will continue to create commercial value for its customers and usher in a new cycle of exponential growth. These impressive financial results mark a turning point for Xunce Technology as it officially begins to realize its value. At a time when demand for high-quality industry data is surging due to the inference requirements of large AI models, the company has built a solid competitive moat through its proprietary token system and opened up vast opportunities for revenue growth through “in-depth cross-industry development and international expansion.” In the future, as the ecosystem of token exchange platforms matures and enterprise-level small-model applications are implemented, this will significantly expand the potential for profit growth, propelling Xunce Technology onto a fast track of rapid development.
- CrowdStrikeCrowdStrike’s Fal.Con 2026 Unites Cybersecurity’s Ecosystem to Secure the AI RevolutionCompanies: CrowdStrikeAUSTIN, Texas, August 20, 2026--CrowdStrike (NASDAQ: CRWD) today announced that Fal.Con 2026 will feature a record 150+ ecosystem sponsors, led by Amazon Web Services (AWS), Accenture, Anthropic, Dell Technologies, Ernst & Young LLP (EY US), Google Cloud, Horizon3, Intel, NVIDIA, and OpenAI. The sold-out conference will bring together more than 10,000 attendees from 4,000 organizations across 71 countries. Fal.Con is now the largest vendor-hosted conference in cybersecurity.