As AI adoption matures, the conversation is shifting from model capability to system design, how to orchestrate models that deliver the right balance of quality, speed, and cost.  Today, we’re expa...

Real-time speech recognition has always been defined by a fundamental trade-off: speed versus accuracy. Applications that need instant, streaming transcription — live captions, voice agents, real-tim...

We are thrilled to announce that Voice Live API now supports WebRTC (Web Real-Time Communication) connection, enabling low‑latency, real‑time voice interactions directly from web and mobile clients. ...

The architectural problem In any non-trivial GenAI platform, you end up managing a fleet of models. Cheap models for classification and light chat. Reasoning models for multi-step tasks. Frontier m...

The problem I wanted to explore Most agentic AI systems today follow a familiar pattern: you design the workflow, you decide which agents exist, you wire the communication between them. That works ...

Enterprise teams building AI agents often need to route model requests through their own infrastructure — whether for compliance, governance, or other controls provided by gateways. Today, we are exc...

You've built an agentic service. It works. It uses the framework you chose — maybe LangChain, maybe Semantic Kernel, maybe the Microsoft Agent Framework, maybe something entirely your own. It talk...

  Why I Ran This Experiment This work started not as a benchmarking exercise, but as a practical problem: I needed to automatically extract panel regions from PDF-format electrical Single...

By Amit Mukherjee · Principal Solutions Engineer, Microsoft Health & Life Sciences Lindsey Craft-Goins · Technology Leader - Cloud & AI Platforms, Health & Life Sciences Joel Borellis · Director ...