The technology promises speed and accuracy in implementing laws like Australia's social media ban for under-16s -- in force from December 10.As a user, verifying your age with the technology is a breeze. All it requires is taking a head-on selfie with a phone or computer camera, and an automated decision is made within a minute. "We estimated your age is 18 or older," read a pop-up window on the Roblox gaming site.At startup Yoti's spacious London office, mannequin heads -- some fitted with wigs or masks -- ...

公司80%的收入来自向客户提供(i)智能广告投放；及(ii)智能数据管理。公司的智能广告投放业务以公司的广告投放AI决策平台AlphaDesk为中心，智能管理 数据依托的CRM AI决策平台AlphaData提供支持。 招股书显示，深演智能是一家中国决策AI技术公司，提供以营销及销售场景为战略重点的决策AI应用，涵盖智能广告投放和智能数据管理。公司应用包含 两个旗舰平台AlphaDesk 和AlphaData，结合前沿AI算法、行业专业知识及多模态数据，赋能企业在营销和销售领域实现智能化与自动化的决策。 智通财经APP获悉，北京深演智能科技股份有限公司(简称：深演智能)于2025年5月28日所递交的港股招股书满6个月，于11月28日失效，递表时工银国际为 独家保荐人。 ...

Core Insights - The Quark AI glasses, featuring Alibaba's Qianwen model, will be officially launched, marking a significant step in extending AI capabilities from digital to physical realms [1][3] - The Qianwen app has exceeded market expectations with over 10 million downloads in its first week, outpacing other international AI applications, indicating strong user interest [3] - The integration of Qianwen with the Quark AI browser, which has a user base of 110 million, positions it as a system-level desktop assistant, facilitating further user growth [3] Group 1 - The Quark AI glasses are seen as a key component in Alibaba's strategy to transition Qianwen from a cloud tool to a daily-use assistant, enhancing user interaction through wearable technology [3][4] - The upcoming Quark AI glasses S1 will feature dual optical displays and a unique dual battery design, balancing comfort and battery life, and have already achieved top sales on Tmall during the Double 11 pre-sale [3][4] - The launch of the Quark AI glasses reflects a broader trend of domestic AI models moving from cloud capabilities to end-user products, with potential for continuous iteration in real-world applications [4] Group 2 - The integration of AI glasses, smartphones, and PCs with large models is expected to foster collaborative development within the hardware and software ecosystem, presenting investment opportunities in related industries [4]

Agreement expands NeuralCloud's AI-enhanced ECG signal-processing technology into veterinary health and elite equine performance markets Commercial integration expands MaxYieldâ"¢ and CardioYieldâ"¢ into V- PRO and S-PRO clinical and performance product lines TORONTO, ON / ACCESS Newswire / November 26, 2025 / NeuralCloud Solutions Inc. ("NeuralCloud"), a subsidiary of AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), is pleased to announce that it has entered into a non- b ...

Core Insights - The Quark AI glasses, set to be released soon, will integrate the Qianwen app, which has seen rapid user growth, surpassing 10 million downloads within a week of its public beta launch, outperforming international AI applications like ChatGPT and Sora in the same period [1] - Alibaba is accelerating the transition of Qianwen from the digital realm to the physical world, with the AI glasses being a significant step in leveraging first-person information capture capabilities [1] - The Quark AI glasses S1 features dual optical dual-display technology and a dual-battery design with replaceable batteries, achieving top sales in three categories during the Double 11 pre-sale period on Tmall [1]

Core Viewpoint - Qiniu Intelligent (02567) has seen a 5% increase in stock price, reaching HKD 0.63, driven by its integrated MPaaS technology and focus on AI capabilities [1] Group 1: Company Strengths - The company possesses key technologies for one-stop scenario-based audio and video solutions, including audio and video technology, low-code platforms, and AI capabilities, due to years of technological accumulation [1] - With the integration of AIGC technology, the company aims to focus on multimodal large models and empower its APaaS business through scenario-based development to meet customer needs [1] Group 2: Financial Performance - In the first half of this year, Qiniu Intelligent's AI-related revenue reached CNY 184 million, accounting for 22.2% of total revenue, primarily from AI inference services and computing resource leasing [1] - By August 2025, the number of developers on the Qiniu Intelligent platform is expected to exceed 1.69 million, with a continuous increase in new registrations [1] Group 3: Market Expansion - The company plans to accelerate its overseas business expansion to enhance its market share in international markets [1] - The demand for AI application development's inference computing power is continuously rising, with the number of AI-related users quickly increasing to 15,000 [1]

Core Viewpoint - Huawei's data storage product line has launched the AI container technology Flex:ai, in collaboration with Shanghai Jiao Tong University, Xi'an Jiaotong University, and Xiamen University, to address the low utilization of computing resources in the AI industry [1][3] Group 1: AI Industry Challenges - The rapid development of the AI industry has led to a massive demand for computing power, but global utilization rates remain low, resulting in significant resource waste [1] - Issues include small model tasks monopolizing entire cards, large model tasks lacking sufficient single-machine computing power, and many general servers being in a state of "sleep" due to a lack of GPU/NPU [1] Group 2: Flex:ai Technology Features - Flex:ai is built on the Kubernetes container orchestration platform, enabling precise management and intelligent scheduling of GPU and NPU resources to match AI workloads, significantly improving computing resource utilization [3] - The technology integrates research strengths from three universities and Huawei, resulting in three core technological breakthroughs [3] Group 3: Specific Technological Solutions - The XPU pooling framework developed with Shanghai Jiao Tong University addresses the issue of resource waste in small model training by allowing a single GPU or NPU card to be divided into multiple virtual computing units, improving overall utilization by 30% [4] - The cross-node virtualization technology developed with Xiamen University aggregates idle XPU resources into a "shared computing pool," enabling general servers to forward AI workloads to remote GPU/NPU cards, thus integrating general and intelligent computing resources [4] - The Hi Scheduler intelligent scheduler, developed with Xi'an Jiaotong University, optimally schedules heterogeneous computing resources across multiple brands and specifications, ensuring stable operation of AI workloads even under fluctuating loads [5]

Evogene (NasdaqCM:EVGN) Q3 2025 Earnings Call November 20, 2025 09:00 AM ET Speaker0Welcome to Evogene Q3 2025 Results Conference Call. All participants are at present in listen-only mode. Following management's formal presentation, we will open the Q&A session. You may send questions via chat. Please type your name and company before your question. As a reminder, this conference is being recorded on November 20, 2025. Before we begin, I would like to caution that certain statements made during this earning ...

Core Insights - Metaguest.AI reported a strong revenue growth of 91% year-over-year for the nine-month period ending September 30, 2025, reaching $1,930,477 compared to $1,008,901 in the previous year [2] - The company achieved a three-month revenue increase of 38%, totaling $625,623, driven by broader customer adoption and higher platform engagement [2] - Gross profit for the nine-month period rose by 90% to $1,643,038, up from $864,568 in the prior period [2] - The net loss improved by 30% period-over-period, decreasing to $1,305,425 from $1,873,762, attributed to revenue growth and disciplined cost management [3] - The CEO emphasized the focus on accelerating deployment with hotel partners and expanding the AI-driven guest engagement ecosystem as the company enters 2026 [3] Company Overview - Metaguest.AI is a technology company enhancing guest experiences through advanced AI solutions, providing an end-to-end guest engagement ecosystem [4] - The platform includes features such as on-property e-commerce, real-time service requests, mobile check-out, personalized in-room controls, local experience bookings, and a multilingual virtual concierge [4] - The company's solutions are utilized by hotels, resorts, and short-term rental operators to boost efficiency, drive incremental revenue, and elevate customer satisfaction [4]

Financial Data and Key Metrics Changes - For Q4 2025, the company reported revenue of $60.6 million and adjusted EBITDA of $8.3 million, exceeding guidance [5][16] - Full fiscal year revenue reached $251.8 million, with adjusted EBITDA of $48.1 million, and free cash flow grew almost threefold year-over-year to $46.8 million [5][20] - The price per unit (PPU) increased to $5.05 for the trailing 12-month period, up 12% from the previous year [5][23] Business Line Data and Key Metrics Changes - Variable license revenue for Q4 was $31.6 million, up 25% year-over-year, while connected service revenue was $14.2 million, up 17% year-over-year [17][18] - Professional services revenue for Q4 was $14.2 million, down 18% year-over-year, reflecting a focus on higher gross margins [18][19] - Total license revenue for the full year grew 13%, despite lower fixed license contracts [17] Market Data and Key Metrics Changes - The company shipped approximately 11.7 million units in Q4, an increase from 10.6 million in the prior year [21] - The number of connected cars shipped grew by 14% on a trailing 12-month basis, with 52% of worldwide auto production including Cerence technology [22] - Adjusted total billings were $236 million, an increase of 8.4% year-over-year [22] Company Strategy and Development Direction - The company aims to monetize its intellectual property and protect it against infringers, with ongoing actions against major companies [6][7] - A multi-year roadmap for IP monetization is in place, expected to support non-automotive business growth [8][12] - The company is focused on advancing its AI roadmap, growing its business with new and existing customers, and continuing transformation and cost management initiatives [8][12] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the foundation for long-term sustainable growth in fiscal 2026 and beyond, with expected revenue in the range of $300 million to $320 million [15][24] - The anticipated growth reflects an 8% increase in the core technology business and a focus on increasing adoption of Cerence XUI [15][24] - Management highlighted the importance of maintaining cost diligence while driving top-line growth [26] Other Important Information - The company resolved a lawsuit with Samsung, resulting in a one-time payment of $49.5 million, which is expected to contribute to revenue in Q1 [6][27] - A restructuring plan was initiated to reduce operating expenses and position the company for profitable growth [12][13] Q&A Session Summary Question: Clarification on IP monetization and legal expenses - Management confirmed that the $49.5 million payment from Samsung will flow through as revenue, with anticipated legal costs of approximately $24 million [27][28] Question: Interest in XUI and proof of concepts - Management noted ongoing POCs with about half a dozen OEMs, indicating increased interest in the XUI platform [28][29] Question: Connected revenue and accounting practices - Management clarified that connected revenue is recognized over the life of the contract, with no unusual accounting practices affecting the current quarter [29][30] Question: Non-automotive opportunities - Management identified kiosk implementations and a phone answering chat service as key non-automotive opportunities [32][33] Question: Core business growth breakdown - Management explained that the expected 8% growth in core technology is driven by increased billings and amortization of deferred revenue [34][35] Question: Competitive landscape update - Management indicated that the competitive landscape remains stable, with a focus on large language models and agentic AI driving competition [36]