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Huawei’s Patent Application for Ternary Logic Gate Circuits

Ternary logic gate circuits expand computing beyond binary's 0s and 1s by implementing a three-valued system that offers greater information density, reduced power consumption, and more elegant mathematical operations. This approach could transform computer engineering by reducing transistor counts by 30% and energy usage by 60%, while requiring fundamental redesigns of architecture, tools, and manufacturing. Despite significant implementation challenges, ternary computing may serve as a crucial bridge to future computational paradigms, including quantum systems.

China’s New Robot Stunned Everyone at ZGC Forum 2025

The 2025 ZGC Forum in Beijing showcased China's impressive advancements in humanoid robotics. Over 100 robots from 15 companies demonstrated capabilities ranging from calligraphy to acrobatic flips. Standouts included Noetixs N2, an agile robot capable of backflips; QingBao's graceful interactive assistants; and Unitree G1, which achieved a world-first sideways flip. These innovations, alongside international offerings like Boston Dynamics' Atlas, highlight China's competitive position in the rapidly evolving humanoid robotics field, with applications spanning service, entertainment, and household assistance.

阿里巴巴Quark Text2Robot技术 横扫全球AI榜 | $60亿天价融资

人工智能对东南亚未来五年的影响摘要 未来五年,阿里巴巴Quark和Text2Robot等AI技术将在东南亚市场迎来重大发展机遇。Quark可通过阿里巴巴现有电商渠道实现区域扩张,但需克服语言多样性挑战。Text2Robot技术将助力东南亚制造业转型,特别是在泰国、越南等国。区域发展将分阶段进行:2025-2026年初步试点,2027-2028年城市普及率达30-40%,2029-2030年扩展至农村地区。数字基础设施不均、人才短缺和监管框架不完善是主要障碍,但年轻人口结构和政府政策支持将成为推动因素。

【人工智能】HAI发布2025年AI指数报告简评

# 斯坦福人工智能指数报告2025摘要与东南亚影响展望 斯坦福HAI《2025年人工智能指数报告》揭示了AI领域的显著进展:模型参数量两年内缩减142倍,推理成本下降280倍,企业采用率从55%增至78%。中美AI实力差距正缩小,在关键基准测试上从双位数缩至个位数。全球AI投资达2523亿美元创新高,各国政府同时加强监管与投资。 对东南亚而言,这些趋势意味着深远变革:随着技术门槛降低,区域经济将加速数字化转型;印尼、泰国等国民众对AI的高度乐观态度将推动广泛应用;教育系统需迅速调整以培养AI人才;新加坡可能成为区域AI研发中心,而越南、泰国在应用和制造环节占据重要位置;同时,各国需应对数字鸿沟风险,确保技术红利惠及边远地区。报告强调,尽管技术突飞猛进,如不精心引导政策与实践,AI难以实现普惠发展。

Google Agent2Agent + (MCP to Tool) in Multi-Agent AI

Google's Agent-to-Agent (A2A) protocol works in harmony with the Model Context Protocol (MCP) to create powerful multi-agent AI systems. While MCP connects AI models to external data and tools through client-server architecture, A2A enables complex multi-turn dialogues between intelligent agents. The new Agent Development Kit (ADK) brings these technologies together, with cross-ecosystem compatibility across 50+ partner companies. This architecture allows agents to communicate autonomously, making independent decisions while maintaining seamless integration with existing systems through agent cards for dynamic discovery.

Everything Announced at Google Cloud Next in 12 Minutes (Opportunity for Software Engineer in SEA)

Google Cloud Next '25 unveiled a suite of transformative technologies spanning infrastructure, AI, and productivity. Highlights include the 7th-gen Ironwood...

Genspark’s Super Agent – AI New Platform From China

Genspark's Super Agent offers game-changing capabilities to the world, especially for Southeast Asian SMEs. This AI-powered system combines nine language models with 80+ specialized tools to handle complex tasks autonomously. From making customer service calls in multiple regional languages to creating localized marketing content and streamlining operations, Super Agent helps resource-constrained businesses compete effectively

机器人如何获得训练数据 | Pieter Abbeel GTC最新演讲解析 (东南亚可以如何受益)

# 机器人训练数据获取与东南亚发展机遇 机器人训练数据主要通过远程操作、手部动作跟踪、仿真环境和模仿学习等方式获取。彼得·阿比尔提出的数据金字塔和Body Transformer架构可显著提高学习效率。 东南亚可通过劳动密集型产业自动化、发展适合当地环境的机器人解决方案、建立区域数据中心等方式受益。采用模块化硬件设计和开源仿真工具可降低成本,同时在旅游服务、海洋资源管理和传统工艺数字化等领域建立特色应用。

Vibe Coding + Vibe Design = Your Ultimate Brand? (with Code inside)

Vibe Coding vs. Vibe Design: A Powerful Evolution Vibe Coding generates functional code through natural language, while Vibe Design extends this approach to emotional, branding, and user experience aspects. Where Vibe Coding focuses on "what a product does" (technical implementation), Vibe Design addresses "how it makes users feel" (emotional connection). By combining both approaches, creators can build products that are not only functional but also emotionally resonant and market-differentiated.

n8n AI Agent与MCP使用情境解析

# AI技术三驾马车的融合 在AI技术的前沿,LLM、AI Agent和MCP形成了强大的组合。LLM如超级百科全书,处理语言理解与生成;AI Agent如智能助手,具备执行特定任务的决策能力;而MCP则如同国际通用语言,确保不同AI系统间的无缝沟通。 这三者的结合不仅提高了AI系统的灵活性和扩展性,还大幅降低了开发复杂度。通过这种架构,AI从单纯的语言工具进化为真正能理解、规划并执行复杂任务的智能体系,为各行业带来前所未有的自动化可能。