Neural Networks Are Transforming 3D Rendering: Inside Microsoft's RenderFormer 3D rendering powers our most captivating digital experiences, from blockbuster movies to cutting-edge virtual reality. Traditionally, this field has relied on physics-based methods to recreate the int... 3D rendering AI research computer graphics deep learning machine learning neural networks RenderFormer SIGGRAPH
mmBERT: How Johns Hopkins Built a 1,833-Language AI That Outperforms XLM-R mmBERT: How Johns Hopkins Built a 1,833-Language AI That Outperforms XLM-R Imagine trying to build an AI system that truly understands human language not just in English, but in over 7,000 languages s... AI research annealed language learning cross-lingual digital inclusion encoder-only FlashAttention Gemma tokenizer GLUE inverse masking language model mmBERT ModernBERT MTEB multilingual NLP XLM-R XTREME
AI in the Workplace: Augmentation, Not Displacement The debate about artificial intelligence and its impact on employment is everywhere from LinkedIn to the board room. While flashy headlines predict massive job losses, recent Microsoft Research reveal... AI research generative AI job displacement Microsoft Copilot occupational impact task automation workplace trends
DINOv3: Redefining Self-Supervised Learning in Computer Vision Meta’s DINOv3 is pushing self-supervised learning (SSL) to new heights and transforming the landscape of computer vision with a vision model that learns directly from billions of images without needin... AI research computer vision deep learning DINOv3 image analysis open source self-supervised learning
How NSF’s $100 Million Investment is Shaping America’s AI Future The U.S. National Science Foundation (NSF) has launched an ambitious $100 million initiative to accelerate artificial intelligence research and workforce development. Supported by Capital One and Inte... AI institutes AI research artificial intelligence NSF public-private partnership STEM education technology innovation workforce development
Test-Time Diffusion Deep Researcher: Ushering in a Human-Like AI Research Paradigm Introducing Test-Time Diffusion Deep Researcher (TTD-DR) framework an AI assistant that doesn't just gather information, but actively thinks, revises, and refines its work, much like a skilled human r... AI research draft refinement large language models multihop reasoning research automation retrieval augmentation self-evolution test-time diffusion
Scaling Research with Multi-Agent AI: Lessons from Anthropic's System Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson... AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design
OpenAI and Oracle Unite for Stargate: Redefining AI Infrastructure at Scale AI innovation is taking a dramatic leap forward as OpenAI and Oracle unveil a strategic alliance centered on the high-profile Stargate project. By combining OpenAI’s groundbreaking research with Oracl... AI research cloud infrastructure enterprise AI OpenAI Oracle partnership Stargate supercomputing
T5Gemma: Google’s Next Leap in Encoder-Decoder Language Models Large language models (LLMs) are transforming rapidly, and Google’s T5Gemma brings a refreshing shift by reviving the versatile encoder-decoder architecture. While decoder-only models have garnered mu... AI research benchmarking encoder-decoder Gemma LLMs model adaptation open source models
Feedback-Driven Methods Are Transforming Prompt Engineering Prompt engineering is crucial for maximizing the capabilities of large language models (LLMs), but it has traditionally required significant manual effort and specialized know-how. As new tasks and mo... AI research automation efficiency feedback loops large language models machine learning prompt optimization
Deep Learning is Revolutionizing Computational Chemistry at Microsoft Thanks to recent breakthroughs at Microsoft Research , scientists may be able to forecast the properties of new molecules with laboratory-level accuracy, all from behind a computer screen. By marrying... AI research computational chemistry deep learning density functional theory machine learning materials science molecular modeling
Revolutionizing AI Reasoning: Microsoft Research's Breakthroughs for Language Models Artificial intelligence is advancing at a remarkable pace, but its true leap lies in enhancing reasoning skills. Microsoft Research is at the forefront, developing innovative approaches that emp... AI research formal methods generalization language models machine learning mathematics reasoning symbolic reasoning