NeurIPS上新 | 提升、增强大语言模型的效率与能力
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。 12月10日至12月15日，全球最负盛名的人工智能盛会之一 NeurIPS 大会将在加拿大温哥华举办。因此，我们将通过三期“科研上新”为大家带来多篇微软亚洲研究院入选 NeurIPS 2024 的精选论文解读...
In the news | TechTarget
Project Silica takes archive data through the looking glass
As data grows, so does the need to store it. Microsoft's Project Silica is offering an archive alternative to tape with the promise of permanence.
In the news | Communications of the ACM
Addressing the Data Storage Crisis
Our increasingly digitized world is creating more data every year, including videos from ubiquitous smart phones, observations from billions of sensors and surveillance cameras, output from artificial intelligence, and much more. Until now, exponential growth in data storage capacity has…
In the news | TheSequence
Edge 454: Meet Magentic-One, Microsoft’s New Framework for Building Multi Agent Systems
Magentic-One is a new generalist multi-agent system developed by Microsoft Research, designed to handle open-ended tasks based on web and file information across various domains. This essay will examine the architecture of Magentic-One, its capabilities, evaluation results, and potential risks.
Although large language models (LLMs) excel in language-focused tasks like news writing, document summarization, customer service, and virtual assistants, they face challenges when it comes to learning and inference on numeric and structured industry data, such as tabular data and…
Research Focus: Week of December 2, 2024
Can a new SOS-RMT protocol enable more efficient CL-MPC?; A fair-by-design, cloud-based algorithmic trading platform; LLM2CLIP unlocks richer visual representation; New technique enhances Low-Rank Adaptation’s expressiveness, generalization capabilities.
MarS: A unified financial market simulation engine in the era of generative foundation models
| Weiqing Liu, Junjie Li, Yang Liu, Chang Xu, Shikai Fang, Lewen Wang, and Jiang Bian
Microsoft Research presents a new large market model and Financial Market Simulation Engine (MarS) to help empower financial researchers with enhanced efficiency and more accurate insights for downstream tasks in financial markets.
人工智能“天文学家”能否帮助人类理解宇宙？
编者按：在广袤无垠的宇宙中，存在着无数类型各异的天体。借助现代技术，人们能够获取这些天体的丰富信息，包括形状、光谱、坐标、红移、引力透镜、爆发时变等大量数据，进而探究宇宙起源与演变的奥秘。但传统科学技术已难以应对海量数据的处理需求，这限制了天文学研究的进一步发展。 为了帮助天文学家分析遥远星系历经百亿年旅程到达太空望远镜的测光数据，微软亚洲研究院联合清华大学天文系以及俄亥俄州立大学（The Ohi...
Large language models (LLMs), led by GPT and followed by numerous other models, have demonstrated their strong capabilities in many areas, from language processing such as text generation and document summarization, to coding, reasoning, and planning tasks, etc. LLMs have…