In the news | Microsoft Stories
Project Guacamaya is fighting deforestation by monitoring the Amazon rainforest with Microsoft AI. Researchers are studying daily satellite images, observing animal behavior with hidden cameras, and listening to forest sounds with tiny microphones. AI processes this data faster than ever…
In the news | The AI in Business Podcast
Today’s guest is Juan Lavista Ferres, Microsoft Chief Data Scientist and Corporate Vice President. Juan joins us on today’s program to talk about his new book AI for Good, which showcases his philosophy in driving AI capabilities toward altruistic and…
作者:工程与基础架构组 编者按:代码大语言模型(Code LLMs)作为大语言模型与编程领域结合的产物,可以通过自动生成和补全代码帮助开发者快速实现功能。但目前针对代码大语言模型的指令微调方法主要集中在传统的代码生成任务上,忽略了模型在处理复杂多任务场景中的表现。为此,来自微软亚洲研究院的研究员们开发了 WaveCoder 模型,其使用包含19,915个指令、涵盖4个代码任务的数据集 CodeSe...
| Dongsheng Li, Dongqi Han, and Yansen Wang
Researchers and their collaborators are drawing inspiration from the brain to develop more sustainable AI models. Projects like CircuitNet and CPG-PE improve performance and energy efficiency by mimicking the brain's neural patterns.
Learn what’s next for AI at Research Forum on Sept. 3; WizardArena simulates human-annotated chatbot games; MInference speeds pre-filling for long-context LLMs via dynamic sparse attention; Reef: Fast succinct non-interactive zero-knowledge regex proofs.
作者:机器学习组 编者按:随着数据量和模型规模的增加,大语言模型在指令执行、知识存储、逻辑推理和编程技能等方面展现出了突破性的能力。然而,大语言模型在产业领域的潜能尚未得到充分挖掘,特别是在满足产业数据分析、推理、预测、决策等数据智能需求方面。如何有效地变革各行业的数据模型及智能的构建方法与应用范式,仍然面临诸多挑战。为应对这些挑战,微软亚洲研究院提出了构建产业基础模型的倡议,其核心理念在于通过持...
人工智能技术正在不断突破我们的想象空间,并逐渐成为推动社会变革和科技进步的核心力量。在即将到来的 Microsoft Research Forum 第四期中,来自微软研究院不同实验室的研究员们将带大家了解最新的多模态 AI 模型、先进的 AI 评估基准和模型自我改进技术,以及全新的 AI 推理和复杂优化计算机,并与大家共同探讨 AI 模型将如何助力从天气预测到材料设计等各领域的进步。 本期 Mic...
| Johannes Gehrke and Lex Story
Model maker and fabricator Lex Story helps bring research to life through prototyping. He discusses his take on failure; the encouragement and advice that has supported his pursuit of art and science; and the sabbatical that might inspire his next…
In the news | Axios
Scientists are opening generative AI's black box and beginning to understand the models' inner workings. Why it matters: The prospect of harnessing genAI to make decisions and perform tasks is pushing researchers to better understand how AI systems work —…