Abstracts: NeurIPS 2024 with Pranjal Chitale
| Gretchen Huizinga and Pranjal Chitale
Pranjal Chitale discusses the 2024 NeurIPS work CVQA. Spanning 31 languages and the cultures of 30 countries, this VQA benchmark was created with native speakers and cultural experts to evaluate model performance across diverse linguistic and cultural contexts.
In the news | Windows Experience Blog
Phi Silica, small but mighty on-device SLM
Today we will share how the Applied Sciences team used a multi-interdisciplinary approach to achieve a breakthrough in power efficiency, inference speed and memory efficiency for a state-of-the-art small language model (SLM), Phi Silica.
Since the Industrial Revolution, the burning of fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation and oceans serve as natural carbon sinks, absorbing some of this CO2,…
Ideas: Economics and computation with Nicole Immorlica
| Gretchen Huizinga and Nicole Immorlica
When research manager Nicole Immorlica discovered she could use math to make the world a better place for people, she was all in. She discusses working in computer science theory and economics, including studying the impact of algorithms and AI…
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…