Generative AI

  • Gen AI: Negligible Financial Impact in Most Instances

    AI stocks declined, triggering a tech sell-off, after a report from AI firm NANDA (MIT Media Lab) highlighted the low success rate of generative AI in commercial deployments. The report found only 5% of pilot projects deliver financial returns, citing issues with contextual awareness and learning capabilities. Successful applications are more common in back-office workflows. While individual productivity with AI is high, institutional-level benefits are lacking, raising questions about the technology’s practical effectiveness and potential hype. The report suggests strategic partnerships with AI vendors, a recommendation aligned with NANDA’s business interests.

    1 day ago
  • Krea AI Surpasses 45 Million Users, Launches New Features Including Canvas Animation

    At WAIC 2025, Kuaishou’s Kling AI launched “Ling Animation Canvas,” a creative workbench with infinite visual space and real-time collaboration. It also upgraded its “Multi-Image Reference” feature, improving consistency and style maintenance. Kling AI boasts over 45 million global creators and has generated over 200 million videos. Since releasing “Kling 2.0,” B-end merchant usage has surged. Over 20,000 enterprise clients globally have integrated with the Kling AI API, extending its reach to 149 countries, highlighting the increasing demand for AI-powered content generation.

    2025年7月27日
  • Jack Ma Spotted B

    th, 2024 – A new report highlights the significant environmental impact of training large AI models. The study, conducted by researchers at the University of California, Berkeley, estimates the carbon footprint of training a single large language model to be equivalent to several transatlantic flights. The report emphasizes the need for more efficient AI training methods and the use of renewable energy sources to mitigate the environmental costs of AI development. The findings are raising concerns among environmental advocates and policymakers.

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    A recent report from UC Berkeley reveals the substantial carbon footprint of training large AI models, equivalent to several transatlantic flights for a single model. This highlights the urgent need for more efficient training methods and the adoption of renewable energy sources to reduce the environmental impact of AI development. The findings are prompting concerns from environmental advocates and policymakers.

    2025年7月17日
  • Global Digital Economy Conference 2025: Weimi Hologram Leads Future with 5G+AI Innovation Focused on Digital Transformation

    At the Global Digital Economy Conference, Beijing unveiled plans for AI-powered “data-smart cities” featuring optimized governance and integrated intelligence hubs. 5G emerged as a key diplomatic and technological tool, enabling real-time applications like holographic streaming and fueling a projected $1.3 trillion smart city market by 2035. The integration aims to create cities that anticipate urban needs.

    2025年7月9日
  • Qualcomm’s Cristiano Amon: Driving Terminal AI Adoption with Industry Ecosystem Collaboration

    Qualcomm China Chairman Jerry highlighted at the 2025 Gmosemiconsductor Conference how terminal-side AI is revolutionizing the semiconductor industry. He discussed AI becoming the new user interface, driving structural demand for chips, and the critical hardware-software synergy required for on-device AI performance. Jerry also emphasized Qualcomm’s collaboration with China’s ecosystem partners to accelerate AI adoption across smartphones, PCs, and vehicles, recognizing China’s leading role in AI innovation.

    2025年7月4日
  • Mingluo Technology Launches AI-Powered AdEff: Global Advertising Test & Optimization Platform Now in Open Beta

    MingLue Science and Technology launched AdEff, an AI-powered platform for global advertising testing and optimization, at ESOMAR “Renewal Tour 2025” in Singapore. Built on the HyperGraph Multi-Modal Large Language Model (HMLLM), AdEff quickly predicts consumer reactions to ads, offers improvement recommendations, and aims to revolutionize marketing productivity. The platform integrates proprietary data and a mixed-expert model to provide faster, cost-effective, and more relevant content measurements, with trial use globally available starting June 19th. Continuous enhancements, including expanded content types and global expansion, are planned.

    2025年6月19日
  • Huawei’s Wang Tao: Nearly 3 Billion AI Robots Expected in Factories and Homes Globally by 2030

    At MWC Shanghai 2025, Huawei’s rotating chairman emphasized 5G-Advanced (5G-A) and mobile AI’s transformative potential. Rapid 5G-A deployment and AI device adoption are accelerating. Generative AI is experiencing explosive growth, reshaping user experiences. The convergence of AI and IoT is generating significant industrial opportunities, with connected vehicles and robots poised for massive expansion by 2030, predicting a tenfold increase in AI-IoT connection volumes and value.

    2025年6月17日
  • Meta to Invest Billions in Scale AI, Potentially Setting New Private Funding Record

    Meta is in advanced talks to invest over $10 billion in AI data labeling startup Scale AI. This deal, if finalized, would be a historic private financing, reflecting the importance of data in the AI landscape. Scale AI, which provides data labeling services crucial for training machine learning models, has experienced rapid growth. Meta’s investment signals a shift toward external AI partnerships and supports its strategic focus on AI, including its Llama language model and AI-powered integrations across its platforms.

    2025年6月8日
  • Deepfake Deception: Can You Trust the Face on Your Screen?

    AI-generated deepfakes are enabling sophisticated scams by impersonating public figures and contacts, with global fraud losses exceeding $12 billion in 2023. Using facial recognition, biometric extraction, and neural networks, modern tools create real-time fake videos with over 90% accuracy, narrowing detection opportunities. Experts note subtle flaws—unnatural blinking, lighting mismatches, or blurring—as red flags. Stanford’s Dr. Elena Voss advises challenging unexpected video requests with sudden movements to expose rendering limitations. Corporations are deploying AI to analyze micro-expressions and blood-flow patterns, while individuals are urged to verify requests via secondary channels and adopt biometric authentication. The fight against AI-driven deception hinges on “intelligent skepticism” and advanced detection technologies.

    2025年5月22日
  • ISG Assesses Finance and Accounting Outsourcing Providers

    The ISG Provider Lens™ report (September 2025) analyzes how AI, including GenAI and agentic technologies, transforms finance and accounting outsourcing (FAO) by shifting vendors from back-office roles to strategic partners. Across 48 providers in four domains—invoice-to-pay, order-to-cash, R2R/tax, and FP&A—AI automates workflows, reduces manual tasks by 60%, enables real-time insights, and supports predictive financial planning. The study evaluates innovation, global adoption, and vendor capabilities, emphasizing AI co-pilots, blockchain integrations, and tools turning spreadsheets into dashboards, to help enterprises benchmark partners reshaping CFO priorities and operational agility.

    2025年5月17日