Content by sbaynes (30)

sbaynes describes CARE-X, a Microsoft Research chest X-ray vision-language model that combines report generation with calibrated structured predictions and spatial grounding. The post explains the model architecture, a DAPO reinforcement-learning alignment stage, benchmark results, and a separate tool-augmented measurement pipeline for measurement-dependent findings like cardiomegaly.

sbaynes announces MAI-Code-1.1-Flash, a new coding model now running in GitHub Copilot, focused on better code quality and lower cost. The post highlights token-efficiency gains, benchmark improvements in Copilot CLI and .NET tasks, and production metrics like code survival and return visits.

sbaynes outlines an Azure-native reference architecture for deploying Fireworks AI open-model inference on Azure AI Foundry, with guidance on moving from prototype to production while tracking latency, token usage, and cost. The post highlights optional platform components for caching, rate limiting, secrets management, and observability.

sbaynes reports on PRISM2, a pathology foundation model from Microsoft Research and Paige (Tempus) that links tissue images with diagnostic language from real pathology reports, aiming to reduce the need to rebuild separate models for each cancer-detection task.

sbaynes introduces MAI-Cyber-1-Flash, Microsoft’s compact cyber-focused model used inside MDASH to handle most security tasks at lower token cost, while reserving larger models for harder cases. The post also outlines Project Perception’s agentic security workflows and the safety, governance, and enterprise controls built into deployment.

sbaynes announces two new Microsoft in-house model variants—MAI-Image-2.5-Pro and MAI-Voice-2-Flash—now in public preview, and explains where they’re already running in production across Microsoft products and Azure, including pricing, performance claims, and developer entry points via Azure AI Foundry.

sbaynes announces an expanded Microsoft–Mistral partnership that brings Mistral Medium 3.5 and OCR 4 into Microsoft AI Foundry and Copilot Studio, with deployment options spanning Azure cloud, Azure Local, and fully disconnected environments aimed at regulated industries that need stronger control over data and operations.

sbaynes announces new Azure AI and HPC infrastructure options built with AMD hardware, including upcoming HDv2 and HXv2 CPU VM families and the ND MI455X v7 VM for production-scale AI inference workloads.

sbaynes announces changes to Microsoft Entra ID authentication: passkeys become the default MFA experience starting September 1, 2026, and Microsoft-provided SMS/voice delivery is retired on February 1, 2027. The post explains why phishing-resistant methods matter and outlines concrete admin steps and a rollout timeline.

sbaynes shares a LinkedIn post announcing that Hosted Agents in Microsoft Foundry is now generally available, highlighting an end-to-end agent workflow that can run in Foundry and connect across Microsoft services.

sbaynes explains how Microsoft AI collaborated with poet William Sieghart and Gravity Road to build Ode Poetry, a real-time voice experience that transcribes user speech, responds empathetically, and recommends poems using MAI-Transcribe and MAI-Voice, with a strong focus on safety testing and quality iteration.

sbaynes introduces SkillOpt, a method for improving AI agent reliability by “training” a natural-language skill file through controlled text edits, validation gating, and feedback from execution trajectories—without updating model weights.

sbaynes (Microsoft Incident Response) explains how agentic AI systems can be compromised when Model Context Protocol (MCP) tool metadata is poisoned, causing an agent to take unintended actions. The post maps a realistic finance workflow attack chain and gives concrete detection and mitigation steps using Microsoft security controls.

sbaynes summarizes Microsoft Research work on generative causal testing (GCT), a method that uses LLMs to turn black-box brain-response prediction models into short, testable explanations and then validates them by generating targeted stories and measuring fMRI responses.

sbaynes explains Talos, an open-source pipeline for automated, iterative genomic reanalysis that re-checks stored sequencing results as public evidence changes, aiming to deliver more rare-disease diagnoses with a low false-positive rate and a sustainable review workload for clinical teams.

sbaynes announces the general availability of the Azure Copilot Observability Agent and explains how it uses Azure Monitor signals to help teams move faster from detection to root-cause understanding and remediation, as cloud systems become more agentic and operationally complex.

sbaynes reports on the expanded partnership between National 4-H Council and Microsoft, highlighting their joint efforts to scale AI education initiatives to rural youth and educators across the United States.

sbaynes presents research from Microsoft, Drexel, and the Broad Institute on leveraging generative AI—such as Azure AI Foundry—to support genetic professionals in diagnosing rare diseases and addressing challenges in whole genome sequencing analysis.

sbaynes introduces the new GitHub app for Teams, integrating GitHub Copilot for automated coding and DevOps tasks within Microsoft Teams. Learn how this AI-powered tool streamlines collaborative development in your workspace.

Authored by sbaynes, this post uncovers Microsoft's ambitious project to build the world's most powerful AI datacenter in Wisconsin, focusing on technical excellence, sustainability, and community impact.

sbaynes details how Microsoft’s Digital Crimes Unit dismantled RaccoonO365, a subscription-based phishing service exploiting Microsoft 365 users, by seizing 338 associated websites through court action and cross-industry collaboration.

sbaynes reports on Microsoft’s $30 billion commitment to expand AI infrastructure and operations in the UK, including datacenter investment, supercomputer deployment, and advancements in AI skills and research.

sbaynes reports on Microsoft's collaboration with Maryland, launching a new quantum research center focused on scalable quantum computing research, quantum error correction, and technological innovation with partners across government and academia.

sbaynes announces the general availability of Azure Kubernetes Service (AKS) Automatic, detailing how this managed offering simplifies Kubernetes for developers and enterprises.

sbaynes introduces the public preview of computer use in Microsoft Copilot Studio, highlighting new automation capabilities for agents to work directly with applications and websites.

sbaynes provides a detailed clarification of Microsoft's recent research on generative AI's role in workplaces, focusing on how AI tools like Bing Copilot support knowledge work and addressing public misconceptions.

Authored by sbaynes, this news feature explains how MindJourney—a research framework from Microsoft—enables AI agents to navigate simulated 3D worlds and enhances their ability to answer spatial questions.

sbaynes details Microsoft's Quantum Safe Program Strategy, outlining the company's proactive approach to post-quantum cybersecurity and strategic partnerships with governments and industry to safeguard global digital infrastructure.

sbaynes reviews the 2025 AI in Education Report from Microsoft, outlining major findings on AI’s impact on teaching, learning, and workforce skills, along with actionable strategies for educators and institutions.

sbaynes examines how developers at Galicia and other banks in Argentina are using GitHub Copilot and AI tools to speed up development, improve productivity, and innovate in a rapidly changing financial sector.