Writer unveils ‘AI HQ’ platform, betting on agents to transform enterprise work [English]

Writer has launched its “AI HQ” platform, aiming to bridge the gap between AI’s potential and real-world results. This innovative system enables businesses to create autonomous AI agents that can execute complex workflows, transforming enterprise operations and addressing the shortcomings of previous generative AI implementations.

Google Releases Agent Development Kit (ADK): An Open-Source AI Framework Integrated with Gemini to Build, Manage, Evaluate and Deploy Multi Agents [English]

Google has launched the Agent Development Kit (ADK), an open-source framework designed for building, managing, and deploying multi-agent systems. Written in Python, ADK emphasizes modularity and flexibility, integrating seamlessly with Google’s AI ecosystem and offering tools for developers to create efficient agent workflows.

Gartner forecasts generative AI spending to hit $644 billion in 2025: What it means for enterprise IT leaders [English]

Gartner forecasts that global spending on generative AI will reach $644 billion in 2025, marking a 76.4% increase from 2024. The report highlights that 80% of this spending will be on hardware, emphasizing the need for organizations to adapt their strategies and focus on embedded AI capabilities within existing systems.

From brain-computer interfaces to AI diagnosis, this forum showcases various practical applications of brain science__Southern+_Southernplus [Chinese]

The Fourth Guangdong-Hong Kong-Macao Greater Bay Area Brain Science Forum showcased advancements in brain science, including brain-computer interfaces and AI diagnostics. Experts emphasized the importance of interdisciplinary collaboration to enhance treatment for neurological disorders and improve public awareness of brain health across all age groups.

How AI Reduces Downtime in Manufacturing [English]

AI-powered predictive maintenance is revolutionizing manufacturing by anticipating equipment failures before they occur. This proactive approach reduces unplanned downtime, enhances operational efficiency, and saves costs. By leveraging real-time data and machine learning, manufacturers can optimize maintenance strategies, ensuring smoother operations and increased profitability in a competitive landscape.

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