Asia is now the epicenter of global biopharmaceutical progress—outpacing the United States and Europe in pipeline growth, patents, and next-gen therapies.

By playing to its strengths, the continent could create an AI ecosystem that accelerates adoption, improves global competitiveness, and reignites economic growth and prosperity.

Vikram Sinha melds his ambition for Indosat to become an AI-native techco with his vision of transforming Indonesia into a digital creator and innovator.

Productivity across sectors is slowing, and labor shortages persist. COOs are in an exceptional position to help their companies address these and other macro trends using AI.

Redesigning with heart: a journey into emotionally intelligent design Allow me to take you back to a project that changed the way I think about design. Some time ago, my team and I were handed a...

New research reveals the costs of widening C-suite divides—and how strengthening the axis between chief marketing officers and their CEO and CFO colleagues can reignite sustainable,...

APISIX支持解析JWT并提取payload信息。通过配置插件和消费者，可以从请求中获取JWT，解码后将user_id和role注入HTTP头，供后端服务使用。创建路由后，发送请求时在Authorization头中放入JWT，后端成功接收相关信息。

To ensure that their companies engage effectively with stakeholders, CEOs must set communication standards, embody the organization’s culture and purpose, and speak up in moments that matter most.

Amid unprecedented rate hikes and financial pressures, large employers, which account for more than $800 billion in healthcare expenditures, are driving the future of the health benefits market.

本研究提出了RoleRAG统一框架，解决了检索增强生成（RAG）方法在多任务处理中的整合问题。通过角色特定令牌优化，该框架实现了高效的多任务处理，降低了资源消耗，并在开放域问答数据集上取得了良好效果。

本研究探讨了人工智能决策中的算法偏见及反事实解释的作用，结果表明反事实解释能够有效降低参与者对偏见的接受度，强调了可解释人工智能在防止不公正决策中的重要性。

本研究提出了角色扮演评估（RPEval）基准，旨在从情感理解、决策能力、道德一致性和角色一致性四个维度客观评估大语言模型的表现。

本研究探讨生成性人工智能在敏捷软件开发中评估史诗质量的作用，解决了史诗定义不清导致的项目延误和成本超支问题。研究发现，产品经理对大型语言模型的应用持积极态度，认为其能提升史诗质量，但也面临实施挑战，为未来的敏捷实践改进提供指导。

本研究评估了四种超参数优化策略对八种生成模型的影响，结果表明优化提高了合成数据的质量，但需结合领域知识以确保其临床有效性。

本研究开发了Voila语音AI代理，能够实时与人类进行情感交互，填补传统系统的不足。Voila采用端到端架构，实现195毫秒的低延迟响应，提升了对话的自然性和个性化，对未来人机交互具有重要意义。

“You can’t cross the chasm into the AI-native future unless you’re willing to feel a little unqualified for the journey.” In Age of Invisible Machines, we talk about the shift from interacting...

本研究探讨了在隐私限制下，日本医学问答中基于知识图谱的检索增强生成框架（KG-based RAG）的有效性。结果表明，KG-based RAG对小规模开源LLMs的影响有限，效果依赖于外部检索内容的质量和相关性。

本研究探讨了机器学习在降低医疗成本中的作用，强调用药依从性和预防性护理对住院费用的影响。结果表明，高度用药依从和持续的预防性护理能显著降低住院风险，具有良好的投资回报率。