OpenTelemetry has introduced a new "Blueprints" initiative aimed at reducing the growing complexity of deploying and operating observability systems at scale. By Craig Risi

Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern...

Google's SynthID, designed to embed imperceptible signals into AI-generated content, is adding a new Content Detection API on Google Cloud's Gemini Enterprise Agent Platform, after gaining...

Organizations modernizing transactional database environments are increasingly adopting MySQL HeatWave to simplify operations, improve scalability, increase availability, enhance security and...

With half of US organizations in our survey now implementing gen AI, the focus is turning to integration, ROI, and agentic AI to realize value across healthcare domains.

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

As AI agents become more autonomous, generating software on-the-fly from human prompts, one question looms larger than ever: how do we keep them secure? In this episode of Invisible Machines, Robb...

What does it really take for businesses to successfully adopt AI? According to Brian Solis, digital anthropologist, futurist, and Head of Global Innovation at ServiceNow, it’s not just about new...

The rapid rise of gen AI highlights a workplace reality: Front lines often embrace new tech much faster than managers do. Here’s how to overcome organizational blocks to transformative ideas.

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。

本研究提出了一种设计框架，以促进可信人工智能（TAI）在医疗领域的临床应用。通过分析医疗流程参与者的需求，探讨了实施TAI原则时面临的挑战和权衡，特别关注心血管疾病领域，揭示了TAI应用的现状及障碍。

本研究分析了人工智能在软件测试中的应用现状，发现尽管AI在软件开发中逐渐普及，但在软件测试领域的进展仍然有限，实际应用与预期存在明显差距，相关实证研究也较少，揭示了行业中的潜在问题。

The total cost of ownership for zero-emission trucks remains significantly higher than for internal combustion engine ones. Closing this gap could boost the transition to zero-emission truck fleets.

Generative AI adoption is taking longer than expected. But AI innovation is rapidly accelerating, and businesses must seize the opportunity to stay competitive.

本研究分析了意大利中小企业在数字化与人工智能整合方面的现状，旨在缩小与大公司的差距。提出了一个框架模型，识别智能转型的关键驱动因素和障碍，并提供应对挑战的建议。

本研究提出了一种新方法，结合机器学习和可解释AI技术，生成高细粒度的美国住宅太阳能数据集。这些合成数据有效支持建模任务，并在政策案例中显示对低收入社区太阳能采用的积极影响。

香港大学从禁止使用ChatGPT转向将其整合进学术流程，关注技术诚信和伦理问题。通过发展新范式，推动AI素养与责任政策，以避免对学术界的负面影响。