Partnership pairs Datavault AI's patented DataValue®, DataScore® and Information Data Exchange® (IDE®) solutions with Available Infrastructure's SanQtum™ cybersecure high performance points of presence designed to support near-real-time tokenization, data exchange, and agentic monetization that will provide Datavault AI the foundation to scale enterprise adoption of its AI while also solving for requisite regulatory compliance for its IDE® Quantum Key Encryption from SanQtum will further differentiate paten ...

LAS VEGAS and BURLINGTON, Mass., Jan. 05, 2026 (GLOBE NEWSWIRE) -- CES 2026 -- Cerence Inc. (NASDAQ: CRNC) (“Cerence AI”), a global technology leader in conversational AI-powered user experiences, today announced that Geely Auto will deploy Cerence xUI™, the company’s hybrid, agentic AI platform, to comprehensively upgrade the automaker’s overseas in-vehicle voice interaction experience. This collaboration – centered on Geely Auto’s full-domain AI technology foundation and mature overseas market presence, a ...

VANCOUVER, British Columbia, Jan. 05, 2026 (GLOBE NEWSWIRE) -- GoGo AI Network Inc. (CSE: GOGO) (OTC Markets: GGGGF) (FSE: Y30) (the “Company”) is pleased to confirm that further to its new release dated December 29, 2025, the Company is now trading on the Canadian Securities Exchange under the symbol GOGO, as well as on the OTC Markets under the symbol GGGGF. The Company also announces the launch of its new corporate website at www.gogonetwork.ai. CSE and OTC Markets Trading Symbols The Company confirms th ...

③蚂蚁、美团入局AI硬件，Looki完成超2000万美元A轮融资; ②智元机器人与MiniMax合作，加速落地全模态AI机器人； AI进化速递丨高德布局世界模型，计划推出新产品应用 ①高德布局世界模型，计划推出新产品应用； ④微信推出AI小程序成长计划。 ...

Core Insights - The article discusses the transformative impact of AI multi-agent systems on enterprise organization structures, highlighting a significant shift towards "organizational intelligence" [4][6][20] - It emphasizes the importance of strategic leadership in AI transformation, advocating for a top-down approach to integrate AI into business processes [3][14][31] Group 1: AI Multi-Agent Systems - The release of "Wanzhi 2.5" showcases advancements in enterprise multi-agent systems, enabling complex workflows that previously required large teams to be managed by a single agent [1][22] - IDC predicts that the enterprise application software market, valued at $650 billion, will be disrupted by AI agents, with a projected market size of over $27 billion for enterprise AI applications in China by 2028 [1][12] - Multi-agent systems allow for enhanced collaboration and efficiency, enabling a single employee to manage a virtual marketing department or HR processes, thus transforming traditional roles [2][8] Group 2: Six Predictions for 2026 - Prediction 1: Multi-agent systems will evolve from "one person, one tool" to "one person, one team," facilitating systemic intelligence across organizations [10][12] - Prediction 2: Multi-agent systems must incorporate the TAB elements—Team, Auto-pilot, and Business—to enhance operational efficiency and business restructuring [8][9] - Prediction 3: China is positioned to become a global leader in multi-agent deployment due to its comprehensive industrial chain and advanced open-source models [12][14] - Prediction 4: The "top-down engineering" approach is essential for realizing AI benefits, requiring leadership to drive systemic changes in organizational structure [14][15] - Prediction 5: Multi-agent systems will contribute to the autonomous evolution of digital infrastructure within enterprises, enhancing knowledge management and decision-making processes [17][18] - Prediction 6: The year 2026 is anticipated to mark the large-scale deployment of multi-agent systems in enterprises, shifting focus from hiring to managing AI agents [20][31] Group 3: Implementation Strategies - Companies are encouraged to adopt a three-step approach for multi-agent evolution: establishing a top-down strategy, utilizing Forward Deployed Engineers (FDE) to bridge organizational gaps, and fostering collaborative evolution through a mixed-model architecture [25][27][29] - The integration of multi-agent systems is seen as a pathway to transform business capabilities into digital assets, enabling rapid adaptation and scalability [8][10][22]

Core Insights - OpenAI projects that by the beginning of the next decade, nearly one-third of the global population will be ChatGPT users, which is approximately three times its current user base of nearly 900 million weekly active users. This large user base could support a substantial advertising and e-commerce business [3][13] - The source of new users is as critical as the number of new users for ChatGPT, with about 90% of its users currently coming from regions outside the United States and Canada, posing a challenge for OpenAI's advertising business [3][14] Revenue Projections - OpenAI expects to generate $112 billion in revenue from the free version of ChatGPT over the next five years, primarily from advertising sales and commissions from online purchases made through the app [4][14] - If advertising and shopping features are successfully implemented, OpenAI anticipates generating $46 billion in revenue from free users in 2030 alone [4][14] User Demographics - The user base of ChatGPT is heavily concentrated outside the United States and Canada, with only about 12% of users from these regions as of Q3 2025 [5][17] - Countries like India and Brazil are significant markets for ChatGPT, but the average revenue per user (ARPU) in these regions is likely lower than in the U.S., Japan, and France, which could hinder advertising revenue growth [8][18] Subscription and Revenue Growth - Currently, only about 5% of ChatGPT's nearly 900 million weekly active users are subscribed to paid plans, with monthly fees of approximately $20 for ChatGPT Pro and $200 for ChatGPT Plus [8][18] - OpenAI plans to introduce a more affordable subscription option, ChatGPT Go, priced at around $5 per month, in countries like India [8][18] - The company aims to increase the average revenue per user from $2 in 2026 to $15 by the end of 2030 [8][18] Cost Considerations - OpenAI anticipates incurring significant costs in running AI models, with projected cumulative costs reaching nearly $150 billion by 2030 [9][19] - The company is relying on revenue from the free version of ChatGPT to help offset these high operational costs [9][19] Competitive Landscape - OpenAI is focused on ensuring the continuous growth of ChatGPT's user base amid intense market competition, having initiated an emergency response mechanism to optimize the platform [10][20] - New features, such as incorporating more visual content in responses, have been launched to enhance user engagement [10][20]

作为兼具通用性与高效性的4D建模解决方案，NeoVerse可全面覆盖影视制作、具身智能、自动驾驶等 各类场景，支持4D重建、精准漫游、多视角生成、视频编辑、三维点跟踪等多元应用，推动4D技术 从"专用"走向"通用"，加速其在各行业的落地普及。 NeoVerse基于视觉几何基础变换器(VGGT)构建免位姿输入(pose-free)前馈式4D高斯溅射模型，摒弃传统 迭代式优化路径，无需复杂离线预处理，一次预测即可在几秒内完成动态场景4D建模，大幅降低技术 应用门槛。 本报讯(记者李春莲)2026年1月5日，CreateAI(OTC：TSPH)宣布，公司与中国科学院自动化所共同研发 的4D世界模型NeoVerse正式发布，相关研究论文已同步在项目主页上线，供全球开发者查阅。该模型 融合diffusion与4DGS核心技术，基于100万段开放场景(in-the-wild)单目视频训练，30秒即可完成通用4D 世界模型构建，不仅打破传统4D建模对昂贵多视角数据的依赖，更实现"重建+生成"无限迭代闭环，相 关性能在标准基准测试中达业界领先水平。 通过高效稀疏重建出的高斯基元进行剔除与平均几何滤波，NeoVerse能够模拟 ...

Core Insights - The conference held on January 5, 2026, outlined Beijing's ambition to become the "first city of artificial intelligence" in China, with a projected AI core industry scale of 450 billion yuan by 2025 and over 2,500 AI companies [1][5] - Beijing aims to significantly enhance its original capabilities in AI foundational theories and core technologies within two years, with plans to establish a domestic computing power cluster and achieve a breakthrough in the AI core industry scale exceeding 1 trillion yuan [1][5] Talent Resources - Beijing has a significant talent pool, with 148 influential AI scholars listed in the AI 2000 global ranking, accounting for over 40% of the national total, and a total of 15,000 AI scholars, representing 30% of the country [3] - The city ranks second globally in AI innovation and hosts multiple national laboratories and research institutions, contributing to its status as a hub for AI innovation [3] Ecosystem and Infrastructure - The city has developed a comprehensive ecosystem that integrates computing power, data, and algorithms, with advancements in domestic computing chips and software ecosystems [4] - Major AI models and platforms have emerged, with 209 registered models and capabilities in reasoning and coding reaching global best standards [4] Industry Cluster Development - Beijing's AI core industry is expected to reach 450 billion yuan by 2025, with nearly 60 listed AI companies and around 40 unicorns, making it a leading center for AI innovation in China [5][6] - The city is implementing the "AI+" action plan to promote application landing and enhance industry cluster effects [5] Nine Major Actions - Beijing plans to implement nine major actions, including technology innovation, data quality enhancement, and application empowerment, to strengthen its AI ecosystem [7][8] - Specific actions include advancing foundational theories, enhancing computing power infrastructure, and fostering a vibrant open-source community [8][9] Innovation Districts - The first four innovation districts in Beijing are being established to enhance resource density and entrepreneurial activity, with a focus on differentiated development [12][13] - Each district has a unique focus, such as talent cultivation, quantum computing, cultural integration, and advanced algorithms, aimed at creating a comprehensive AI innovation landscape [13][15][16]

Group 1: Core Insights - The year 2025 is marked as a pivotal moment for AI, bringing both technological advancements and collective anxieties, reshaping society and accelerating a transition to a new civilization [1] - AI has led to significant changes in content creation, making it accessible to a broader audience while simultaneously raising concerns about privacy and trust [3][4][6] Group 2: Privacy Conflicts - The conflict between privacy and convenience is intensifying as AI technologies can analyze personal interests and even delve into subconscious aspects, leading to a trust crisis between users and AI models [3] - Users are increasingly aware of the risks associated with AI-generated content, including the tightening regulations around such content and the challenges of identifying AI-generated works [4][5][6] Group 3: Intellectual Property Conflicts - The AI industry is facing a copyright storm, with major companies like OpenAI and Google being sued for allegedly using creators' styles without compensation, raising questions about the protection of personal IP [22] - The debate over whether AI can learn from existing styles without infringing on copyrights is becoming more contentious, as creators express concerns over their work being used to train AI models without consent [22][23] Group 4: Employment Conflicts - The rise of AI in customer service has led to job losses for traditional customer service roles, with many workers struggling to adapt to new job requirements that involve AI [17][30] - Job seekers are facing challenges in AI-driven interview processes, where the reliance on algorithms creates a disconnect between human abilities and machine evaluations [30][32] Group 5: Trust Issues - There is a growing distrust between AI companies and users, with concerns about data misuse and the potential for personal information to be exploited [12][14] - The need for a new AI service model that ensures user data privacy and builds trust between AI providers and users is becoming increasingly urgent [14][15]

VANCOUVER, BRITISH COLUMBIA / ACCESS Newswire / January 5, 2026 / Alset AI Ventures Inc. (TSXV:GPUS)(OTC:GPUSF)(FSE:1R6, WKN:A40M0J) ("Alset AI" or the "Company") an artificial intelligence ("AI") venture company advancing innovation through strategic investment and cloud computing solutions, is pleased to announce that it has entered into debt settlement agreements dated January 4, 2026 with certain arm's length creditors of the Company to settle an aggregate of $191,160.37 of accrued and unpaid fees for c ...