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Player-Driven Emergence in LLM-Driven Game Narrative,” presented at IEEE CoG 2024
Microsoft Research Blog

Players, creators, and AI collaborate to build and expand rich game narratives 

August 5, 2024 | Sudha Rao, Chris Brockett, and Bill Dolan

Integrating LLMs in video game development can create dynamic and interactive narratives. By involving players in the narrative design process, LLMs can generate unique player-driven strategies and provide valuable feedback for game designers.

In the news | GeekWire

Real or Not? New Microsoft quiz targets deepfake AI images and we still can’t really tell the difference 

August 5, 2024

A deepfake, as Microsoft defines it, is an AI generated image, video, or audio recording, typically used to spread false information. With advancements in AI technology, they’re getting harder and harder to detect, and that creates some concerning possibilities, especially as it relates to election integrity…

What's Your Story podcast | Emre Kiciman
Microsoft Research Podcast

What’s Your Story: Emre Kiciman 

August 1, 2024 | Johannes Gehrke and Emre Kiciman

Emre Kiciman shares how some keen observations and a desire to have front-end impact led him to make the jump from systems and networking to computational social science and now causal analysis and large-scale AI—and how systems thinking still impacts…

In the news | IT Web

Local AI model is melting pot for African languages 

August 1, 2024

South African artificial intelligence (AI) research and product lab Lelapa AI has introduced its large language model (LLM) that aims to pioneer five African languages, as a start.

Articles

USENIX ATC 2024最佳论文 | 微软如何提升云AI基础设施的可靠性 

July 31, 2024

作者:SuperBench团队 编者按:近日,来自微软亚洲研究院的研究员们和来自微软 Azure 云平台的工程师们联合发布了一项开创性的、聚焦云 AI 基础设施高可靠性的研究工作:SuperBench 系统。该系统通过主动验证的手段解决了云 AI 基础设施中难以捉摸的“灰色故障”问题。这一研究工作已被全球计算机系统领域的顶级学术会议 USENIX ATC 2024 接收,并荣获最佳论文奖。Supe...

Research Focus: July 22, 2024
Microsoft Research Blog

Research Focus: Week of July 29, 2024 

July 31, 2024

In this issue: Skeleton Posterior-guided OpTimization (SPOT) exhibits potential in various causal discovery tasks; Using visual imagery for an EEG-based brain–computer interface; Developing human-centered AI systems to assist creative professionals.

Articles

图像解码器;多头混合专家网络;视觉模型美学对齐;医学视觉任务适应基准 

July 30, 2024

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。 论文链接:https://arxiv.org/abs/2404.12876 (opens in new tab) 近年来,深度学习的显著进步极大地推动了计算机视觉领域的发展,尤其是视觉 Transformer...

In the news | Microsoft on the Issues

Protecting the public from abusive AI-generated content  

July 30, 2024

AI-generated deepfakes are realistic, easy for nearly anyone to make, and increasingly being used for fraud, abuse, and manipulation – especially to target kids and seniors. While the tech sector and non-profit groups have taken recent steps to address this…

Microsoft Research Podcast - Abstracts
Microsoft Research Podcast

Abstracts: July 29, 2024 

July 29, 2024 | Gretchen Huizinga and Li Lyna Zhang

A lack of appropriate data, decreased model performance, and other obstacles have made it difficult to expand the input language models can receive. Li Lyna Zhang introduces LongRoPE, a method capable of extending content windows to more than 2 million…

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