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SIGMOD/PODS 2024 logo to the left of the first page of accepted paper, "SIBYL: Forecasting Time-Evolving Query Workloads"
Microsoft Research Blog

SIBYL: A machine learning-based framework for forecasting dynamic workloads 

June 11, 2024 | Rana Alotaibi, Hanxian Huang, Tarique Siddiqui, Carlo Curino, Jesús Camacho Rodríguez, and Yuanyuan Tian

SIBYL is a machine learning model that makes highly accurate predictions of database queries, enabling tuning for more efficiency. Applying traditional database optimizations to these predicted queries helps maintain high performance as demands change.

In the news | BBC Technology of Business

‘Insane’ amounts of data spurs new storage tech 

June 11, 2024

Project Silica uses powerful lasers to enable a piece of glass about the size of a DVD to store more than seven terabytes of data, helping to manage the rapidly growing supply.

SIGMOD PODS 2024 logo to the left of the first page of "LST-Bench: Benchmarking Log-Structured Tables in the Cloud"
Microsoft Research Blog

LST-Bench: A new benchmark tool for open table formats in the data lake 

June 10, 2024 | Jesús Camacho Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, and Raghu Ramakrishnan

LST-Bench is a new open-source benchmark designed to evaluate table formats in cloud environments. It extends existing benchmarks to better reflect real-world usage & performance of data lakes and easily integrates with commonly used analytical engines.

Articles

对话Nature子刊论文作者:DiG如何揭示蛋白质秘密 

June 7, 2024

作者:科学智能中心 编者按:尽管当前利用人工智能技术预测生物分子结构的模型已经可以精确预测包括蛋白质、核酸、小分子、离子和修饰残基在内的复合物结构,但对于科学家们来说仅了解分子的微观结构还远远不够,因为分子的宏观属性和功能往往取决于分子结构在平衡态下的分布。 用于分子结构平衡分布预测的深度学习框架 Distributional Graphormer(DiG)的最新论文,近期在《自然-机器智能》(N...

diagram
Articles

重塑认知科学中的“行为”理解,提升智能体决策能力 

June 6, 2024

作者:韩东起 编者按:随着科技的不断进步,人工智能与认知科学的交叉研究已成为推动科学前沿的重要力量。其中,习惯性行为与目标导向行为的相互作用是心理学、认知神经科学和人工智能等领域都十分关注的研究课题,因为从简单的日常习惯到复杂的决策制定过程,都是这两种行为模式交互的体现。为了更好地理解二者间的关系,微软亚洲研究院的研究员们通过引入贝叶斯“意图”变量,将习惯性行为与目标导向行为进行了整合,达到了计算...

In the news | Wired

Chatbot teamwork makes the AI dream work 

June 6, 2024

I’ve been playing this week with AutoGen, an open source software framework for AI agent collaboration developed by researchers at Microsoft and academics at Pennsylvania State University, the University of Washington, and Xidian University in China. The software taps OpenAI’s…

In the news | Unlocked

The thread of memory 

June 6, 2024

June 6, 1944, the beginning of the end: When Allied troops landed on the shores of Normandy 80 years ago, they made history with their courage and sacrifice, which contributed to the liberation of France from Nazi Germany. In The Thread…

In the news | WIRED

Many Chatbots Make Light Work 🤝🤖 🎉 

June 6, 2024

Turning to a friend or coworker can make tricky problems easier to tackle. Now it looks like having AI chatbots team up with each other can make them more effective. I’ve been playing this week with AutoGen, an open source…

Microsoft Research Forum | Episode 3 | panel discussion
Microsoft Research Blog

Microsoft Research Forum Episode 3: Globally inclusive and equitable AI, new use cases for AI, and more 

June 5, 2024

“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there's an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…

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