In the news | FuturIA
At a time when artificial intelligence poses ethical dilemmas, people are deciding to use this instrument to generate a positive impact on society. In this context, a few days ago, an expert in artificial intelligence visited Argentina and presented his…
编者按:当大模型的规模不断突破极限,AI 训练的算力需求也在以指数级攀升。传统 GPU 已难以兼顾性能与能效,异构 AI 芯片逐渐成为新趋势。但如何让不同计算单元“协同作战”,仍是编译领域的一大难题。北京大学、微软亚洲研究院、帝国理工学院与上海交通大学联合团队研发的 PipeThreader 系统,旨在解决这一核心挑战。PipeThreader 首次提出“流水线导向编译”理念,让编译器能够像“流水...
编者按:量化投资正迎来由人工走向智能的深刻变革。随着大语言模型(LLMs)与多智能体系统在金融研究中的快速发展,如何让 AI 真正融入量化投研流程、实现从假设生成到策略回测的全链路自动化,成为学术界与产业界共同关注的前沿问题。 继开源通用自动化研发框架 R&D-Agent 之后,微软亚洲研究院进一步推出面向量化金融领域的专项版本 R&D-Agent-Quant(R&D-Ag...
In the news | Our Digital Life Episode 7: Audio Signal Processing in the Era of AI
In this episode of the IEEE Signal Processing Society podcast, Felicia Lim, a staff software engineer at Google, where she works on audio signal processing and machine learning, interviews Dr. Ivan Tashev, Partner Software Architect at Microsoft Research (MSR) –…
In the news | infobae
Juan M. Lavista Ferres, Corporate Vice President and Chief Data Scientist of the AI for Good Lab at Microsoft Corporation, presented his book Artificial Intelligence for Good. AI for Good: Applications in Sustainability, Humanitarian Action, and Health, together with Editorial TAEDA and within the framework of…
In the news | What will AI Mean for Humanity?
E. Glen Weyl appeared on a panel at Harvard University about the implications of AI for the human soul.
| Eric Horvitz, Bruce Wittmann, and James Diggans
In the fall of 2023, breakthroughs in generative AI had researchers proclaiming a new era for medicine and healthcare.
| Eric Horvitz, Bruce Wittmann, Tessa Alexanian, and James Diggans
Microsoft’s Eric Horvitz and guests Bruce Wittmann, Tessa Alexanian, and James Diggans discuss the Paraphrase Project—a red-teaming effort that exposed and secured a biosecurity vulnerability in AI-driven protein design. The work offers a model for addressing AI’s dual-use risks.
| Eric Horvitz
Microsoft researchers reveal a confidential research effort that explored how open-source AI tools could be used to bypass biosecurity checks—and helped create fixes now influencing global standards.