Abstracts: August 15, 2024
| Amber Tingle, Shrey Jain, and Zoë Hitzig
Advanced AI may make it easier for bad actors to deceive others online. A multidisciplinary research team is exploring one solution: a credential that allows people to show they’re not bots without sharing identifying information. Shrey Jain and Zoë Hitzig…
In the news | Technology Review
Happy birthday, baby! What the future holds for those born today
An intelligent digital agent could be a companion for life—and other predictions for the next 125 years. Happy birthday, baby. You have been born into an era of intelligent machines. They have watched over you almost since your conception. They…
Research Focus: Week of August 12, 2024
In this issue: Research Forum Ep. 4 explores multimodal AI. Registration is now open; Surveying developers’ AI needs; SuperBench improves cloud AI infrastructure reliability; Virtual Voices: Exploring factors influencing participation in virtual meetings.
如何理解和探索大模型的多语言能力？
作者：通用人工智能组 编者按：大语言模型在未使用多语言平行语料库进行预训练的情况下，依然表现出了卓越的多语言能力。但大模型如何处理多语言文本的底层机制仍是一个具有挑战性的问题。对此，微软亚洲研究院联合中国人民大学提出了语言激活概率熵，用于识别大模型中的语言特定神经元。该研究为理解和探索大模型的多语言能力提供了重要依据，并被自然语言处理领域的国际顶级学术会议 ACL 2024 收录。 全球共有超过7...
执业医师转型人工智能研究员，王子龙说“跨”才是关键
编者按：生命健康是人类永恒的探索主题，也是医疗工作者不懈追求的使命。迈入全新的人工智能时代，如何让机器学习算法和人工智能大模型助力医疗健康行业发展，是学术界和产业界共同关注的议题。然而，从计算机领域看医学行业，与从医学需求出发寻找技术突破之间必然存在着认知偏差。身为具有执业医师资格的医学博士，微软亚洲研究院（上海）高级研究员王子龙对此有哪些独到的见解？他又将如何在人工智能与医疗健康之间架起创新的桥...
Large-scale pathology foundation models show promise on a variety of cancer-related tasks
| Kristen Severson and Philip Rosenfield
Microsoft researchers collaborated to release new pathology foundation models. Their report shows models benefit from diverse data, increased model size, and specialized algorithms to enhance the accuracy and applicability of cancer diagnosis and treatment.
Collaborators: AI and the economy with Brendan Lucier and Mert Demirer
| Gretchen Huizinga, Brendan Lucier, and Mert Demirer
Researcher Brendan Lucier and professor Mert Demirer are applying their micro- and macroeconomic expertise, respectively, to forecasting the economic impact of AI. They share how they’re using a task-level breakdown of occupations to help predict the future.
ACL上新 | 6篇精选论文带你看最新LLMs进展
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，同时也能找到先进实用的开源工具。 下周，自然语言处理领域的国际顶级学术会议 ACL 2024 将在泰国曼谷举办。本届大会上，微软亚洲研究院共有14篇论文入选，这一期的“科研上新”栏目精选了其中的六篇为大家进行简要介绍。 论文链接：https:...
GENEVA uses large language models for interactive game narrative design
| Sudha Rao, Chris Brockett, and Bill Dolan
Designed for interactive storytelling in games, GENEVA lets users explore narrative paths and adapt stories to diverse contexts. It uses LLMs to generate and visualize branching narratives from high-level descriptions, representing them as graphs.