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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

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Case report 2026

Building Agentic AI Research Teams

This seminar explores how frontier AI systems can be organized into specialized research 'teams' or multiple-agent workflows that support orchestrated literature review, analysis, synthesis, writing, and verification all under human control. It combines conceptual depth with practical demonstrations to help researchers design more reliable and academically defensible AI-supported workflows.

M. Zyphur · 0 citations
Case report 2026

AI Multi-Agent Workflows in R

This workshop covers the principles and practice of building multi-agent LLM workflows in R using the mini007 package. Participants will learn agent creation, state management, LeadAgent-based task decomposition, and best practices for reproducible, research-ready automation.

Fodil Ihaddaden · 0 citations
Case report 2026

Agentic AI for Academic Research

This seminar explores how agentic AI can be integrated into academic research as a disciplined, verifiable, and human-led method rather than a generic productivity tool. It provides practical frameworks for responsible use, workflow verification, and multi-agent research design across literature work, analysis, writing, and grant development.

M. Zyphur · 0 citations
Aug 2026

From Command to Conversation: Integrating Agentic AI Into Command-Line Interfaces

The command-line interface evolves as LLM-based agentic systems add tool execution, planning, and persistent state, enabling autonomous multistep tasks while introducing new security risks today. This article synthesizes empirical evidence on productivity effects, examines current implementations, and provides practitioners with concrete guidance for safe adoption.

Mohit Shrivastava · 0 citations
2026

Coding Agents Need Guidance, Not Faith

Coding agents powered by multimodal models are becoming increasingly capable. They explore and write code, fix tests, even coordinate subagents for complex changes. Used well, they expedite development and help deliver solid software at pace. Used badly, they produce confident nonsense at machine speed. Tim Clark guides you to success.

Tim Clark · 0 citations
Case report 2026

Building Autonomous AI Agents for Scientific Research

This workshop explores how autonomous AI agents can support scientific research in R, from conceptual distinctions between chat systems and agentic workflows to practical deployment with open-source tools (OpenCode). It is designed for researchers who want to use AI critically, securely, and effectively in data-intensive academic work.

R. Maestri · 0 citations

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Microsoft Research Blog Aug 11, 2026

Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

Radiology AI is evolving beyond report generation. CARE-X explores a unified approach that combines flexible reasoning, calibrated predictions, and measurement-based tools for chest X-ray interpretation. The post Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement appeared first on Microsoft Research.

Microsoft Research Blog Jul 30, 2026

Echoverse: Deep, evolving environments for computer-use agents

Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-use agents appeared first on Microsoft Research.

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