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Research Forum | Episode 4 Panel | John Langford, Hoifung Poon, Katja Hofmann, Jianwei Yang
Articles

Panel Discussion: Beyond Language: The future of multimodal models in healthcare, gaming, and AI 

September 3, 2024

Microsoft researchers John Langford, Hoifung Poon, Katja Hofmann, and Jianwei Yang share their thoughts on future directions, bridging gaps, and fostering synergies within the field. 

Research Forum | Episode 4 Keynote | Jianfeng Gao
Articles

Keynote: Phi-3-Vision: A highly capable and “small” language vision model 

September 3, 2024

This talk introduces Phi-3-Vision, an advanced and economical open-source multimodal model. As a member of the Phi-3 model family, Phi-3-Vision enhances language models by integrating multisensory skills, seamlessly combining language and vision capabilities.

Research Forum | Episode 4 - abstract chalkboard background with colorful network nodes and circular icons
Stories

Research Forum Brief | September 2024 

September 3, 2024

In this episode, learn about the latest multimodal AI models, advanced benchmarks for AI evaluation and model self-improvement, and an entirely new kind of computer for AI inference and hard optimization. Discover how these research breakthroughs and more can help…

In the news | Microsoft Stories

Protecting the Amazon from deforestation with Microsoft AI 

September 1, 2024

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

Channeling Enterprise AI ‘for Good’ in Responsible Data and Workflows – Juan Lavista Ferres 

August 31, 2024

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…

Articles

代码摘要、生成、翻译、修复全覆盖… WaveCoder开启代码智能新篇章 

August 30, 2024

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...

Diagram illustrating four common neural connectivity patterns in the biological neural networks: Feedforward, Mutual, Lateral, and Feedback. Each pattern consists of circles representing neurons and arrows representing synapses. 
Microsoft Research Blog

Innovations in AI: Brain-inspired design for more capable and sustainable technology 

August 29, 2024 | 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.

Decorative graphic with wavy shapes in the background in blues and purples. Text overlay in center left reads: “Research Focus: August 26, 2024”
Microsoft Research Blog

Research Focus: Week of August 26, 2024 

August 28, 2024

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.

Industrial foundation models
Articles

集成大语言模型与产业数据智能,迈向“产业基础模型” 

August 27, 2024

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...

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