Microsoft Discovery Is R&D Powered by Agentic AI Microsoft Discovery is a revolutionary platform designed to embed agentic AI directly into the R&D process. Announced at Microsoft Build 2025, this enterprise-ready solution is set to redefine innovat... AI agents Azure computational science enterprise AI Microsoft Discovery R&D innovation scientific collaboration scientific research
Building Smarter AI Interactions: How MCP Elicitation Elevates GitHub Copilot AI-powered development tools are moving beyond rigid interfaces, enabling more natural and responsive user experiences. A standout innovation in this space is elicitation within the Model Context Prot... AI tools developer experience elicitation GitHub Copilot MCP tool design user interaction
How Attackers Exploited ViewState Deserialization to Breach Sitecore Deployments A sophisticated cyber campaign has targeted organizations running Sitecore products, exploiting a critical zero-day flaw ( CVE-2025-53690 ). Attackers gained remote code execution by abusing exposed A... cybersecurity deserialization incident response malware remote code execution Sitecore ViewState zero-day
Speculative Cascades: The Hybrid Solution Driving Smarter, Faster LLM Inference As user expectations and AI adoption soar, delivering fast, cost-effective, and high-quality results from LLMs has become a pressing goal for developers and organizations alike. Speculative cascades a... AI efficiency AI optimization cascades language models LLM inference machine learning speculative decoding
Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods
Microsoft TimeCraft For Synthetic Time-Series Data Generation Time-series data is the backbone of critical decision-making in sectors such as healthcare, finance, and transportation. However, generating realistic and adaptable synthetic time-series data is a per... AI frameworks data generation industry applications machine learning open source synthetic data time series
How MXFP8, TorchAO, and TorchTitan Boost Large-Scale AI Training on Crusoe B200 Modern AI models are growing larger and more complex, demanding new solutions to speed up training without compromising accuracy. Recent experiments on the Crusoe B200 cluster , using 1,856 GPUs, show... AI acceleration Crusoe B200 float8 large-scale training MXFP8 PyTorch quantization TorchAO
Unlocking New AI Potential with Deep Researcher and Test-Time Diffusion Cutting-edge artificial intelligence (AI) models excel at many tasks, but their performance often depends on how well they can adapt to new, unseen data. Deep Researcher with Test-Time Diffusion is a ... adaptation AI research deep learning generalization machine learning reasoning test-time diffusion
Break the Cycle: How to Build AI POCs That Actually Ship Despite the hype, most AI proof of concepts (POCs) never make it past the demo stage. The issue isn’t just technical, teams often design POCs to impress executives, not to survive under real-world con... AI POC cost management engineering best practices machine learning production readiness remocal workflow user-centered design
Scaling Laws Unveiled: The Mathematical Blueprint Behind Smarter, Cheaper AI Models Training a state-of-the-art language model can cost tens of millions of dollars and months of computation time, not to mention the expertise needed for development. Yet until now, researchers have bee... AI Chinchilla deep learning GPT-3 language models machine learning neural networks optimization principal component analysis scaling laws statistical methodology
Infinigraph Is Redefining Enterprise-Scale Graph Data Management Enterprises are grappling with ever-growing, highly interconnected datasets, think of global fraud detection networks or AI-driven product catalogs. Traditional data systems often force organizations ... AI applications AuraDB data architecture enterprise data graph database Infinigraph property sharding scalability
AI Is Powering Gravitational Wave Detection and Cosmic Discovery Thanks to breakthrough advances in artificial intelligence, we are starting to be able to “hear” the universe’s faintest secrets. Google DeepMind’s Deep Loop Shaping method is now helping astronomers ... AI astrophysics DeepMind gravitational waves LIGO noise reduction reinforcement learning scientific discovery