In the news | LinkedIn Article
Improving breast cancer screening with AI
At Microsoft’s AI for Good Lab, we’ve been working with partners at the University of Washington, the Fred Hutchinson Cancer Center, and other institutions to explore whether artificial intelligence can help bring greater clarity, accuracy, and trust to breast cancer…
As large language models (LLMs) continue to improve at writing code, a key challenge has emerged: enabling them to generate complex, high-quality training data that actually reflects real-world programming. Currently, most data synthesis methods rely on simple code snippets as…
AI Testing and Evaluation: Learnings from cybersecurity
| Kathleen Sullivan, Ciaran Martin, and Tori Westerhoff
Drawing on his previous work as the UK’s cybersecurity chief, Professor Ciaran Martin explores differentiated standards and public-private partnerships in cybersecurity, and Microsoft’s Tori Westerhoff examines the insights through an AI red-teaming lens.
ICML上新 | 探索智能生成与决策优化新路径
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉。 7月13日至7月19日，人工智能、机器学习领域全球顶级的学术盛会之一 ICML 将在温哥华举办。来自微软亚洲研究院的多篇论文入选。在接下来的几天里，我们将通过两期“科研上新”为大家带来多篇研究院入选 ICML 2025 的精选论文解读。第一...
RenderFormer: 神经网络如何重塑3D渲染？
编者按：在计算机图形学发展数十年之后，渲染技术正迎来一次由人工智能驱动的革新。传统的渲染方法依赖复杂的几何建模和物理光学公式，而神经网络渲染（neural rendering）则尝试以学习的方式建模光线传播过程。近期，微软亚洲研究院提出的 RenderFormer 模型首次展示了全新的图形渲染能力，可在不依赖传统光线追踪或光栅化的前提下，仅通过神经网络就能实现支持任意场景输入且具备全局光照效果的3...
How AI will accelerate biomedical research and discovery
| Peter Lee, Daphne Koller, Noubar Afeyan, and Dr. Eric Topol
Daphne Koller, Noubar Afeyan, and Dr. Eric Topol, leaders in AI-driven medicine, discuss how AI is changing biomedical research and discovery, from accelerating drug target identification and biotech R&D to helping pursue the “holy grail” of a virtual cell.
Phi-4-reasoning is a 14-billion parameter model specialized in complex reasoning tasks. It is trained using supervised finetuning (SFT) on diverse prompts and reasoning demonstrations from o3-mini. The model generates detailed reasoning chains and leverages inference-time compute effectively. Phi-4-reasoning-plus, an enhanced…
In the news | Matter
Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
The concrete industry is a large producer of global greenhouse gases, the majority of which are attributable to ordinary Portland cement. Our research demonstrates a sustainable alternative by incorporating whole macroalgae as a biomatter substitute in cement. Biomatter is a…
AI Testing and Evaluation: Learnings from pharmaceuticals and medical devices
| Kathleen Sullivan, Daniel Carpenter, Timo Minssen, and Chad Atalla
Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where AI governance stakeholders might find inspiration in the fields.